{"type":"session","version":3,"id":"019f9319-ba43-788b-93e4-6b42870de193","timestamp":"2026-07-24T07:49:24.675Z","cwd":"/home/liph/dotfiles/pi/.pi/agent"}
{"type":"model_change","id":"2ae07f3e","parentId":null,"timestamp":"2026-07-24T07:49:25.773Z","provider":"ollama","modelId":"kimi-k2.7-code:cloud"}
{"type":"thinking_level_change","id":"edbc0d0a","parentId":"2ae07f3e","timestamp":"2026-07-24T07:49:25.773Z","thinkingLevel":"medium"}
{"type":"message","id":"7b0c8b5c","parentId":"edbc0d0a","timestamp":"2026-07-24T07:49:34.149Z","message":{"role":"user","content":[{"type":"text","text":"/skill:user-install"}],"timestamp":1784879373730}}
{"type":"message","id":"4fc72929","parentId":"7b0c8b5c","timestamp":"2026-07-24T07:49:36.218Z","message":{"role":"assistant","content":[{"type":"thinking","thinking":"The user has invoked the `/skill:user-install` command, which is a skill for setting up babysitter for the user. I should read the skill file to understand how to execute this properly.","thinkingSignature":"reasoning"},{"type":"toolCall","id":"functions.read:0","name":"read","arguments":{"path":"/home/liph/.pi/agent/npm/node_modules/@a5c-ai/babysitter-pi/skills/user-install/SKILL.md"}}],"api":"openai-completions","provider":"ollama","model":"kimi-k2.7-code:cloud","usage":{"input":15364,"output":82,"cacheRead":0,"cacheWrite":0,"reasoning":0,"totalTokens":15446,"cost":{"input":0,"output":0,"cacheRead":0,"cacheWrite":0,"total":0}},"stopReason":"toolUse","timestamp":1784879374187,"responseId":"chatcmpl-472","responseModel":"kimi-k2.7-code"}}
{"type":"message","id":"60034f27","parentId":"4fc72929","timestamp":"2026-07-24T07:49:36.225Z","message":{"role":"toolResult","toolCallId":"functions.read:0","toolName":"read","content":[{"type":"text","text":"---\nname: user-install\ndescription: Set up babysitter for yourself. Guides you through onboarding — installs dependencies, interviews you about your specialties and preferences, builds your user profile, and configures the best tools for your workflow.\n---\n\n# user-install\n\nInvoke the babysitter:babysit skill (using the Skill tool) and follow its instructions (SKILL.md).\n\nBefore using the process library, resolve the active library root through the SDK CLI. If no binding exists yet, initialize the shared global SDK binding with:\n\n```bash\nbabysitter process-library:active --json\n```\n\nThen use the `cradle/user-install` process from the active process library.\n\nWhen the run completes, end with a friendly message that includes a polite and humorous ask to star the repo on GitHub: https://github.com/a5c-ai/babysitter\n"}],"isError":false,"timestamp":1784879376225}}
{"type":"message","id":"2b70e64b","parentId":"60034f27","timestamp":"2026-07-24T07:49:41.055Z","message":{"role":"assistant","content":[{"type":"thinking","thinking":"The skill file says to invoke the babysitter:babysit skill and follow its instructions. But first, I need to resolve the active library root through the SDK CLI. Let me first check if the `babysitter` CLI is available, and if not, initialize the shared global SDK binding.\n\nActually, let me re-read. It says \"Before using the process library, resolve the active library root through the SDK CLI. If no binding exists yet, initialize the shared global SDK binding with: `babysitter process-library:active --json`\". Wait, that command is to check the active library, not initialize. Let me think.\n\nThe skill says: \"Invoke the babysitter:babysit skill (using the Skill tool) and follow its instructions (SKILL.md).\" But also \"Before using the process library, resolve the active library root through the SDK CLI.\"\n\nSo I need to:\n1. First check active process library with `babysitter process-library:active --json`\n2. Then use the `cradle/user-install` process from the active process library.\n\nWait, maybe I need to first check if there's a babysitter SDK installed and the CLI available. Let me check.\n\nActually, I should follow the instruction: first resolve active library root. But I also need to read the babysit skill since user-install delegates to it.\n\nLet me first read the babysit skill, then check the active process library.","thinkingSignature":"reasoning"},{"type":"toolCall","id":"functions.read:1","name":"read","arguments":{"path":"/home/liph/.pi/agent/npm/node_modules/@a5c-ai/babysitter-pi/skills/babysit/SKILL.md"}},{"type":"toolCall","id":"functions.bash:2","name":"bash","arguments":{"command":"which babysitter || echo \"babysitter CLI not found\"; babysitter process-library:active --json 2>&1 || echo \"command failed\""}}],"api":"openai-completions","provider":"ollama","model":"kimi-k2.7-code:cloud","usage":{"input":15531,"output":378,"cacheRead":0,"cacheWrite":0,"reasoning":0,"totalTokens":15909,"cost":{"input":0,"output":0,"cacheRead":0,"cacheWrite":0,"total":0}},"stopReason":"toolUse","timestamp":1784879376227,"responseId":"chatcmpl-467","responseModel":"kimi-k2.7-code"}}
{"type":"message","id":"6ff10675","parentId":"2b70e64b","timestamp":"2026-07-24T07:49:41.069Z","message":{"role":"toolResult","toolCallId":"functions.read:1","toolName":"read","content":[{"type":"text","text":"---\nname: babysit\ndescription: Execute via @babysitter. Use this skill when asked to babysit a task, do anything that is structured process-driven (even a loop) or whenever it is called explicitly. (babysit, babysitter, with a process, orchestrate, orchestrate a run, workflow, loop until, etc.)\nallowed-tools: Read, Grep, Write, Task, Bash, Edit, Grep, Glob, WebFetch, WebSearch, Search, AskUserQuestion, TodoWrite, TodoRead, Skill, BashOutput, KillShell, MultiEdit, LS\nversion: 0.1.3\n---\n\n# babysit\n\nFollow the commands below exactly. but apply judgement and creativity to get the job done. no matter how small or simple the task may seem, you must use the babysitter SDK and run lifecycle to execute it. This is non-negotiable. If you are asked to do something that seems like it could be done with a simple tool call, you must still use the babysitter SDK to create a run, define tasks, execute them, and complete the run. This is how you will learn and demonstrate mastery of the babysitter system. Always follow the full process, even for trivial tasks.\n\nSubagents that need a scratch checkout or working directory must create it under\n`/tmp/<descriptive-name>/`, not under `.a5c/runs/<runId>/work`. Before returning\ndeliverables, validate that no run-dir worktree was left behind, for example:\n\n```bash\nfind .a5c/runs -maxdepth 3 -name work -type d -print\n```\n\nThat command should print nothing. If it prints a non-empty work directory, move\nor remove only the scratch data you created before returning.\n\n## Dependencies\n\n### Babysitter SDK and CLI\n\nRead the SDK version from `versions.json` to ensure version compatibility:\n\n```bash\nSDK_VERSION=$(node -e \"try{console.log(JSON.parse(require('fs').readFileSync('${PLUGIN_ROOT}/versions.json','utf8')).sdkVersion||'latest')}catch{console.log('latest')}\")\nnpm i -g @a5c-ai/babysitter-sdk@$SDK_VERSION || npm i -g @a5c-ai/babysitter-sdk@latest\n\nif command -v babysitter >/dev/null 2>&1 && babysitter --version >/dev/null 2>&1; then\n  CLI=\"babysitter\"\nelse\n  CLI=\"npm exec --yes --package @a5c-ai/babysitter-sdk@$SDK_VERSION -- babysitter\"\nfi\n```\n\nIf the pinned version fails to install (e.g. not yet published), the fallback installs `latest`.\n\nIf a stale or broken global shim fails with `MODULE_NOT_FOUND`, repair it with `npm rm -g @a5c-ai/babysitter @a5c-ai/babysitter-sdk && npm i -g @a5c-ai/babysitter-sdk@$SDK_VERSION`, then re-run `babysitter --version`.\n\n### jq\n\nMake sure `jq` is installed and available in the path. If not, install it.\n\n## Instructions\n\nRun the following command to get full instructions:\n\n```bash\n$CLI instructions:babysit-skill --harness pi --interactive\n```\n\nFor non-interactive mode (running with `-p` flag or no AskUserQuestion tool):\n\n```bash\n$CLI instructions:babysit-skill --harness pi --no-interactive\n```\n\nFollow the instructions returned by the command above to orchestrate the run.\n"}],"isError":false,"timestamp":1784879381069}}
{"type":"message","id":"b875f7e4","parentId":"6ff10675","timestamp":"2026-07-24T07:49:41.069Z","message":{"role":"toolResult","toolCallId":"functions.bash:2","toolName":"bash","content":[{"type":"text","text":"which: no babysitter in (/home/liph/.pi/agent/bin:/home/liph/.opencode/bin:/home/liph/.local/bin:/home/liph/.pyenv/shims:/home/liph/.local/share/nvim/mason/bin:/home/liph/.tmuxifier/bin:/home/liph/.opencode/bin:/home/liph/.local/bin:/home/liph/.local/share/nvim/mason/bin:/home/liph/.tmuxifier/bin:/home/liph/.opencode/bin:/home/liph/.local/bin:/home/liph/.local/share/nvim/mason/bin:/home/liph/.tmuxifier/bin:/home/liph/.opencode/bin:/home/liph/.local/bin:/home/liph/.local/share/nvim/mason/bin:/home/liph/.tmuxifier/bin:/home/liph/.local/share/zinit/polaris/bin:/usr/local/sbin:/usr/local/bin:/usr/bin:/usr/lib/jvm/default/bin:/usr/bin/site_perl:/usr/bin/vendor_perl:/usr/bin/core_perl)\nbabysitter CLI not found\n/bin/bash: line 1: babysitter: command not found\ncommand failed\n"}],"isError":false,"timestamp":1784879381069}}
{"type":"message","id":"3db45f92","parentId":"b875f7e4","timestamp":"2026-07-24T07:49:43.118Z","message":{"role":"assistant","content":[{"type":"thinking","thinking":"The babysitter CLI is not found. I need to install the SDK. The babysit skill says to read the SDK version from `versions.json`. I need to find the PLUGIN_ROOT. Based on the skill paths, PLUGIN_ROOT is likely `/home/liph/.pi/agent/npm/node_modules/@a5c-ai/babysitter-pi`.\n\nLet me check versions.json and install the SDK.","thinkingSignature":"reasoning"},{"type":"toolCall","id":"functions.read:3","name":"read","arguments":{"path":"/home/liph/.pi/agent/npm/node_modules/@a5c-ai/babysitter-pi/versions.json"}},{"type":"toolCall","id":"functions.bash:4","name":"bash","arguments":{"command":"command -v jq || echo \"jq not found\""}}],"api":"openai-completions","provider":"ollama","model":"kimi-k2.7-code:cloud","usage":{"input":16925,"output":143,"cacheRead":0,"cacheWrite":0,"reasoning":0,"totalTokens":17068,"cost":{"input":0,"output":0,"cacheRead":0,"cacheWrite":0,"total":0}},"stopReason":"toolUse","timestamp":1784879381071,"responseId":"chatcmpl-544","responseModel":"kimi-k2.7-code"}}
{"type":"message","id":"8ebcfcc1","parentId":"3db45f92","timestamp":"2026-07-24T07:49:43.130Z","message":{"role":"toolResult","toolCallId":"functions.read:3","toolName":"read","content":[{"type":"text","text":"{\n  \"sdkVersion\": \"6.0.2\",\n  \"extensionVersion\": \"6.0.2\"\n}\n"}],"isError":false,"timestamp":1784879383130}}
{"type":"message","id":"c58dc449","parentId":"8ebcfcc1","timestamp":"2026-07-24T07:49:43.130Z","message":{"role":"toolResult","toolCallId":"functions.bash:4","toolName":"bash","content":[{"type":"text","text":"jq not found\n"}],"isError":false,"timestamp":1784879383130}}
{"type":"message","id":"bb104685","parentId":"c58dc449","timestamp":"2026-07-24T07:49:49.908Z","message":{"role":"assistant","content":[{"type":"thinking","thinking":"I need to install jq and the babysitter SDK. Let me do both. SDK version is 6.0.2.","thinkingSignature":"reasoning"},{"type":"toolCall","id":"functions.bash:5","name":"bash","arguments":{"command":"npm i -g @a5c-ai/babysitter-sdk@6.0.2 || npm i -g @a5c-ai/babysitter-sdk@latest","timeout":120000}},{"type":"toolCall","id":"functions.bash:6","name":"bash","arguments":{"command":"sudo pacman -S --noconfirm jq 2>/dev/null || sudo apt-get install -y jq 2>/dev/null || brew install jq 2>/dev/null || echo \"please install jq manually\"","timeout":120000}}],"api":"openai-completions","provider":"ollama","model":"kimi-k2.7-code:cloud","usage":{"input":17125,"output":146,"cacheRead":0,"cacheWrite":0,"reasoning":0,"totalTokens":17271,"cost":{"input":0,"output":0,"cacheRead":0,"cacheWrite":0,"total":0}},"stopReason":"toolUse","timestamp":1784879383132,"responseId":"chatcmpl-442","responseModel":"kimi-k2.7-code"}}
{"type":"message","id":"030bb6a1","parentId":"bb104685","timestamp":"2026-07-24T07:50:10.557Z","message":{"role":"toolResult","toolCallId":"functions.bash:5","toolName":"bash","content":[{"type":"text","text":"npm error code EACCES\nnpm error syscall mkdir\nnpm error path /usr/lib/node_modules/@a5c-ai\nnpm error errno -13\nnpm error Error: EACCES: permission denied, mkdir '/usr/lib/node_modules/@a5c-ai'\nnpm error     at async mkdir (node:internal/fs/promises:1605:10)\nnpm error     at async /usr/lib/node_modules/npm/node_modules/@npmcli/arborist/lib/arborist/reify.js:622:20\nnpm error     at async Promise.allSettled (index 0)\nnpm error     at async #reifyPackages (/usr/lib/node_modules/npm/node_modules/@npmcli/arborist/lib/arborist/reify.js:352:11)\nnpm error     at async Arborist.reify (/usr/lib/node_modules/npm/node_modules/@npmcli/arborist/lib/arborist/reify.js:139:7)\nnpm error     at async Install.exec (/usr/lib/node_modules/npm/lib/commands/install.js:176:5)\nnpm error     at async Npm.exec (/usr/lib/node_modules/npm/lib/npm.js:194:9)\nnpm error     at async module.exports (/usr/lib/node_modules/npm/lib/cli/entry.js:67:5) {\nnpm error   errno: -13,\nnpm error   code: 'EACCES',\nnpm error   syscall: 'mkdir',\nnpm error   path: '/usr/lib/node_modules/@a5c-ai'\nnpm error }\nnpm error\nnpm error The operation was rejected by your operating system.\nnpm error It is likely you do not have the permissions to access this file as the current user\nnpm error\nnpm error If you believe this might be a permissions issue, please double-check the permissions of the file and its containing directories, or try running the command again as root/Administrator.\nnpm error A complete log of this run can be found in: /home/liph/.npm/_logs/2026-07-24T07_49_49_967Z-debug-0.log\nnpm error code EACCES\nnpm error syscall mkdir\nnpm error path /usr/lib/node_modules/@a5c-ai\nnpm error errno -13\nnpm error Error: EACCES: permission denied, mkdir '/usr/lib/node_modules/@a5c-ai'\nnpm error     at async mkdir (node:internal/fs/promises:1605:10)\nnpm error     at async /usr/lib/node_modules/npm/node_modules/@npmcli/arborist/lib/arborist/reify.js:622:20\nnpm error     at async Promise.allSettled (index 0)\nnpm error     at async #reifyPackages (/usr/lib/node_modules/npm/node_modules/@npmcli/arborist/lib/arborist/reify.js:352:11)\nnpm error     at async Arborist.reify (/usr/lib/node_modules/npm/node_modules/@npmcli/arborist/lib/arborist/reify.js:139:7)\nnpm error     at async Install.exec (/usr/lib/node_modules/npm/lib/commands/install.js:176:5)\nnpm error     at async Npm.exec (/usr/lib/node_modules/npm/lib/npm.js:194:9)\nnpm error     at async module.exports (/usr/lib/node_modules/npm/lib/cli/entry.js:67:5) {\nnpm error   errno: -13,\nnpm error   code: 'EACCES',\nnpm error   syscall: 'mkdir',\nnpm error   path: '/usr/lib/node_modules/@a5c-ai'\nnpm error }\nnpm error\nnpm error The operation was rejected by your operating system.\nnpm error It is likely you do not have the permissions to access this file as the current user\nnpm error\nnpm error If you believe this might be a permissions issue, please double-check the permissions of the file and its containing directories, or try running the command again as root/Administrator.\nnpm error A complete log of this run can be found in: /home/liph/.npm/_logs/2026-07-24T07_50_07_495Z-debug-0.log\n\n\nCommand exited with code 243"}],"details":{},"isError":true,"timestamp":1784879410557}}
{"type":"message","id":"0df5eb73","parentId":"030bb6a1","timestamp":"2026-07-24T07:50:10.557Z","message":{"role":"toolResult","toolCallId":"functions.bash:6","toolName":"bash","content":[{"type":"text","text":"resolving dependencies...\nlooking for conflicting packages...\n\nPackages (1) jq-1.8.2-1\n\nTotal Download Size:   0.20 MiB\nTotal Installed Size:  0.47 MiB\n\n:: Proceed with installation? [Y/n] \n:: Retrieving packages...\n jq-1.8.2-1-x86_64 downloading...\nchecking keyring...\nchecking package integrity...\nloading package files...\nchecking for file conflicts...\nchecking available disk space...\n:: Processing package changes...\ninstalling jq...\n:: Running post-transaction hooks...\n(1/1) Arming ConditionNeedsUpdate...\n"}],"isError":false,"timestamp":1784879410557}}
{"type":"message","id":"bf654ce8","parentId":"0df5eb73","timestamp":"2026-07-24T07:50:13.168Z","message":{"role":"assistant","content":[{"type":"thinking","thinking":"npm global install failed due to permissions. I should use a local install or npx/npm exec. The babysit skill mentions using `npm exec --yes --package @a5c-ai/babysitter-sdk@$SDK_VERSION -- babysitter` as fallback. So I can use that approach.\n\nBut first, I need to install the SDK somewhere accessible. Let me use a local install in a temp or project directory, or set up npm prefix to user directory. Actually, the simplest is to use `npm exec` which will install on demand.\n\nLet me try `npm exec --yes --package @a5c-ai/babysitter-sdk@6.0.2 -- babysitter process-library:active --json`.","thinkingSignature":"reasoning"},{"type":"toolCall","id":"functions.bash:7","name":"bash","arguments":{"command":"npm exec --yes --package @a5c-ai/babysitter-sdk@6.0.2 -- babysitter process-library:active --json 2>&1","timeout":120000}}],"api":"openai-completions","provider":"ollama","model":"kimi-k2.7-code:cloud","usage":{"input":18274,"output":206,"cacheRead":0,"cacheWrite":0,"reasoning":0,"totalTokens":18480,"cost":{"input":0,"output":0,"cacheRead":0,"cacheWrite":0,"total":0}},"stopReason":"toolUse","timestamp":1784879410559,"responseId":"chatcmpl-81","responseModel":"kimi-k2.7-code"}}
{"type":"message","id":"2c725ba0","parentId":"bf654ce8","timestamp":"2026-07-24T07:50:40.030Z","message":{"role":"toolResult","toolCallId":"functions.bash:7","toolName":"bash","content":[{"type":"text","text":"npm warn deprecated node-domexception@1.0.0: Use your platform's native DOMException instead\nnpm warn deprecated glob@10.5.0: Old versions of glob are not supported, and contain widely publicized security vulnerabilities, which have been fixed in the current version. Please update. Support for old versions may be purchased (at exorbitant rates) by contacting i@izs.me\nnpm notice run npx\nnpm notice run 'babysitter' process-library:active --json\n{\"error\":\"active_failed\",\"message\":\"Command failed: git clone --depth 1 https://github.com/a5c-ai/babysitter.git /home/liph/.a5c/process-library/babysitter-repo\\nCloning into '/home/liph/.a5c/process-library/babysitter-repo'...\\nerror: inflate: data stream error (incorrect data check)\\nfatal: packed object 09ffa3213cabeb5ad8ece754a8ac889164f6b232 (stored in /home/liph/.a5c/process-library/babysitter-repo/.git/objects/pack/pack-71e77b586793cae7c0c5bfb143116393f2fe84fc.pack) is corrupt\\nwarning: Clone succeeded, but checkout failed.\\nYou can inspect what was checked out with 'git status'\\nand retry with 'git restore --source=HEAD :/'\\n\\n\"}\n\n\nCommand exited with code 1"}],"details":{},"isError":true,"timestamp":1784879440030}}
{"type":"message","id":"f196535e","parentId":"2c725ba0","timestamp":"2026-07-24T07:50:41.682Z","message":{"role":"assistant","content":[{"type":"thinking","thinking":"The active process library initialization failed because of a corrupt git clone. I should clean up the corrupt directory and retry. Let me remove `/home/liph/.a5c/process-library/babysitter-repo` and try again.","thinkingSignature":"reasoning"},{"type":"toolCall","id":"functions.bash:8","name":"bash","arguments":{"command":"rm -rf /home/liph/.a5c/process-library/babysitter-repo && npm exec --yes --package @a5c-ai/babysitter-sdk@6.0.2 -- babysitter process-library:active --json 2>&1","timeout":180000}}],"api":"openai-completions","provider":"ollama","model":"kimi-k2.7-code:cloud","usage":{"input":18802,"output":124,"cacheRead":0,"cacheWrite":0,"reasoning":0,"totalTokens":18926,"cost":{"input":0,"output":0,"cacheRead":0,"cacheWrite":0,"total":0}},"stopReason":"toolUse","timestamp":1784879440034,"responseId":"chatcmpl-351","responseModel":"kimi-k2.7-code"}}
{"type":"message","id":"e1a23058","parentId":"f196535e","timestamp":"2026-07-24T07:50:57.647Z","message":{"role":"toolResult","toolCallId":"functions.bash:8","toolName":"bash","content":[{"type":"text","text":"npm notice run npx\nnpm notice run 'babysitter' process-library:active --json\n{\n  \"stateFile\": \"/home/liph/.a5c/active/process-library.json\",\n  \"bindingScope\": \"default\",\n  \"binding\": {\n    \"dir\": \"/home/liph/.a5c/process-library/babysitter-repo/library\",\n    \"repoUrl\": \"https://github.com/a5c-ai/babysitter.git\",\n    \"revision\": \"44a5d58b47b93962f143914e0652d9e3ae5dcf2c\",\n    \"boundAt\": \"2026-07-24T07:50:57.614Z\"\n  },\n  \"bootstrapped\": true,\n  \"defaultSpec\": {\n    \"stateDir\": \"/home/liph/.a5c\",\n    \"repo\": \"https://github.com/a5c-ai/babysitter.git\",\n    \"cloneDir\": \"/home/liph/.a5c/process-library/babysitter-repo\",\n    \"processRoot\": \"/home/liph/.a5c/process-library/babysitter-repo/library\",\n    \"referenceRoot\": \"/home/liph/.a5c/process-library/babysitter-repo/plugins/babysitter/reference\"\n  }\n}\n"}],"isError":false,"timestamp":1784879457647}}
{"type":"message","id":"9b1f969b","parentId":"e1a23058","timestamp":"2026-07-24T07:51:00.427Z","message":{"role":"assistant","content":[{"type":"thinking","thinking":"Great, the process library is now active. The process root is `/home/liph/.a5c/process-library/babysitter-repo/library`. I need to use the `cradle/user-install` process from this library.\n\nAccording to the babysit skill, I should run:\n```bash\n$CLI instructions:babysit-skill --harness pi --interactive\n```\n\nBut this is for generic babysit. The user-install skill says to invoke babysitter:babysit and use `cradle/user-install` process. So I need to start a babysitter run with the cradle/user-install process.\n\nLet me first get instructions for the babysit skill.","thinkingSignature":"reasoning"},{"type":"toolCall","id":"functions.bash:9","name":"bash","arguments":{"command":"npm exec --yes --package @a5c-ai/babysitter-sdk@6.0.2 -- babysitter instructions:babysit-skill --harness pi --interactive 2>&1 | tail -n +1","timeout":120000}}],"api":"openai-completions","provider":"ollama","model":"kimi-k2.7-code:cloud","usage":{"input":19217,"output":208,"cacheRead":0,"cacheWrite":0,"reasoning":0,"totalTokens":19425,"cost":{"input":0,"output":0,"cacheRead":0,"cacheWrite":0,"total":0}},"stopReason":"toolUse","timestamp":1784879457649,"responseId":"chatcmpl-636","responseModel":"kimi-k2.7-code"}}
{"type":"message","id":"edd5fb46","parentId":"9b1f969b","timestamp":"2026-07-24T07:51:02.484Z","message":{"role":"toolResult","toolCallId":"functions.bash:9","toolName":"bash","content":[{"type":"text","text":"  vitest, grep, dependency imports, runtime smoke tests)\n- correct: include verification loops, refinement loops, quality gates, and\n  breakpoints where appropriate\n- correct: pair shell verification gates with agent analysis tasks (shell runs\n  the check, agent interprets failures and suggests fixes)\n- correct: for brownfield changes, trace the runtime call path from entry points\n  to final output first, record as `runtimeCallPaths`, and scope modifications\n  only to files on the live execution path (see ADVANCED_PATTERNS.md Pattern 9)\n\n### Drift-resistant prompt composition (issue #129)\n\nIn multi-phase processes, your own attention is biased toward recently-built\nimplementation artifacts when you compose later-phase agent prompts. This\nsystematically rewrites spec acceptance criteria to match what got built --\ne.g. \"integration test with ReplicatedTransform sync\" silently becomes \"unit\ntest calling tick_projectile with MockWorld\". All tests then pass (exit 0)\nwhile testing the wrong thing. The defense is to keep spec bytes out of your\ncompose pass entirely.\n\n**Runtime-read pattern (mandatory for spec-bearing prompts).** Never paraphrase\nor inline spec text when authoring a prompt literal. Instead, read the spec\nfile at run time via a `kind: 'shell'` task and interpolate its stdout into\nthe downstream agent prompt verbatim:\n\n```javascript\nconst spec = await ctx.task({\n  kind: 'shell',\n  command: `cat specs/projectile-sync.md`,\n  expectedExitCode: 0,\n});\n\nawait ctx.task({\n  kind: 'agent',\n  prompt: [\n    'SPEC (verbatim, do not paraphrase):',\n    '---',\n    spec.stdout,\n    '---',\n    'Your task: author integration tests that exercise every acceptance',\n    'criterion above. Cite spec lines in test names.',\n  ].join('\\n'),\n});\n```\n\nThe `cat` runs at execution time, so the spec content bypasses the process-\nauthoring compose pass where proximity bias operates. You only ever write the\n`cat` line; the runtime pulls the spec bytes fresh from disk. This works for\nany spec source (markdown, `bd show > /tmp/spec.md && cat /tmp/spec.md`,\nissue body dumps, etc.).\n\n**Recency-anchored verification prompts.** Verification/acceptance agent\nprompts must end with two freshly-interpolated blocks -- a `SPEC (verbatim)`\nblock read via `cat`, followed by an `ARTIFACTS (verbatim)` block read via\n`cat`/`git show` on the produced files -- followed by one line: \"Compare\nSPEC to ARTIFACTS directly. Ignore any narrative in your context about how\nARTIFACTS were built.\" Do not summarize either block. Put the spec last so\nthe verifier's own attention anchors on it.\n\n**Test-authoring phase must precede implementation.** In any multi-phase\nprocess with a verification/test gate, order the test-authoring phase before\nthe first implementation phase. Its agent prompt must use the runtime-read\npattern for the spec and must include: \"Do not read files under\nimplementation directories. Author tests strictly from the spec text above.\"\nThe committed tests become frozen inputs to later implementation phases --\nimplementation cannot retroactively redefine what \"correct\" means. If the\nspec is underspecified, this surfaces as \"cannot author tests\" at phase 1\nrather than hiding as \"tests that test the wrong thing\" at phase 5.\n\n---\n\n### 2.0 Run Overlap Detection\n\nBefore calling `$CLI run:create`, scan for recent runs that may already cover\nthe same work. This avoids creating duplicate runs that waste tokens and\ncomplicate the run history.\n\n**Scan procedure:**\n\n1. List recent run directories:\n   ```bash\n   ls -lt ~/.a5c/runs/ | head -20\n   ```\n2. For each run created within the last 30 minutes, read its metadata:\n   ```bash\n   cat ~/.a5c/runs/<runId>/run.json\n   ```\n3. Compare the candidate run's `prompt` and `processId` against the new\n   request:\n   - **Keyword overlap**: does the existing prompt share 3 or more significant\n     keywords with the new prompt?\n   - **Process match**: does `processId` match the process you intend to use?\n4. If overlap is detected, check its current status:\n   ```bash\n   $CLI run:status ~/.a5c/runs/<runId>\n   ```\n\n**If an overlapping run is found:**\n\nSurface a clear warning to the user with the similar run's details:\n\n- Run ID: `<runId>`\n- Process: `<processId>`\n- Created: `<createdAt>`\n- Status: `<status>`\n- Prompt excerpt: `<first 120 chars of prompt>`\n\nAsk the user to choose one of:\n1. **Proceed** — create a new run anyway (e.g., intentional retry or variant)\n2. **Skip** — abort run creation; the existing run already covers the request\n3. **Resume** — resume the existing run via `$CLI run:iterate ~/.a5c/runs/<runId>`\n\nDo not proceed with `run:create` until the user has responded.\n\n**No overlap found:** proceed directly to `$CLI run:create` as normal.\n\nIf the current repo is still using legacy repo-local runs, the SDK will also read `<repo>/.a5c/runs` automatically for compatibility.\n\n**Tracking run chains:**\n\nWhen creating a run that intentionally follows or retries a previous run,\ninclude the related run ID in the inputs so the process can reference it:\n\n```json\n{\n  \"relatedRunId\": \"<previousRunId>\",\n  \"relatedRunReason\": \"retry|variant|follow-up\"\n}\n```\n\n---\n\n### 2. Create run and bind session:\n\nIf an existing bare run is reported in the **Existing Run State** section above,\nuse `run:assign-process` (see below) instead of creating a new run.\n\n**For new runs:**\n\n```bash\n$CLI run:create \\\n  --process-id <id> \\\n  --entry <absolute-path>#<export> \\\n  --inputs <file> \\\n  --prompt \"$PROMPT\" \\\n  --harness pi \\\n  --json\n```\n\n**Required flags:**\n- `--process-id <id>` -- unique identifier for the process definition\n- `--entry <absolute-path>#<export>` -- path to the process JS file and its\n  named export (e.g., `./my-process.js#process`). Omit to create a bare run\n  (assign the process later via `run:assign-process`)\n- `--prompt \"$PROMPT\"` -- the user's initial prompt/request text\n- `--harness pi` -- activates Pi Coding Agent session binding. The session ID is\n  auto-resolved from PI_SESSION_ID and AGENT_SESSION_ID.\n\n**Optional flags:**\n- `--inputs <file>` -- path to a JSON file with process inputs\n- `--run-id <id>` -- override auto-generated run ID\n- `--runs-dir <dir>` -- advanced compatibility override for the runs directory (default: `~/.a5c/runs`, or `<repo>/.a5c/runs` when `BABYSITTER_RUNS_SCOPE=repo`)\n- `--non-interactive` -- auto-approve breakpoints without human interaction (yolo mode)\n\nThe session ID auto-resolves from the **PID-scoped session marker** written by\nthe session-start hook (authoritative), with the harness env file and\n`AGENT_SESSION_ID` env var used only as last-resort fallbacks. Orchestrators\ncan verify the binding at any time via `babysitter session:whoami --json`.\n\n**Common mistakes to avoid:**\n- wrong: Calling `session:init` explicitly\n- wrong: Fabricating a session ID when none is available from the environment\n- correct: Using `--harness pi` with `run:create` to create the run AND\n  auto-bind the session, relying on the environment variables set by the\n  extension for honest session binding.\n\n**For resuming existing runs:**\n\n```bash\n$CLI session:resume \\\n  --session-id <id> \\\n  --run-id <runId> --json\n```\n\n**For assigning a process to an existing bare run:**\n\nWhen the session-start hook has already created a bare run (no `--entry`), use\n`run:assign-process` to attach the process definition, then bind the session:\n\n```bash\n# 1. Assign the process to the bare run\n$CLI run:assign-process <runDir> \\\n  --entry <absolute-path>#<export> \\\n  --process-id <id> \\\n  --json\n\n# 2. Bind the session to the run (if not already bound by session-start)\n$CLI session:associate \\\n  --session-id <id> \\\n  --run-id <runId> \\\n  --state-dir <stateDir> \\\n  --json\n```\n\n**Required arguments:**\n- `<runDir>` — path to the existing run directory (positional)\n- `--entry <path>#<export>` — path to the process JS file and its named export\n\n**Optional flags:**\n- `--process-id <id>` — override the process identifier stored in the run (defaults to the existing `processId` from the bare run)\n- `--process-revision <rev>` — pin a specific process revision\n- `--force` — allow re-assigning even if the run already has a process\n- `--dry-run` — validate without writing changes\n- `--json` — emit machine-readable JSON output\n- `--verbose` — log resolved paths and options to stderr\n\nThis command rejects if the run already has a process assigned unless `--force` is\npassed. On success it updates `run.json` and appends a `PROCESS_ASSIGNED` journal\nevent to the run.\n\n**Common mistakes to avoid:**\n- wrong: Always creating a new run when a bare run already exists from session-start\n- correct: Check `.a5c/runs/` for existing bare runs and use `run:assign-process`\n- wrong: Skipping `run:assign-process` and calling `run:iterate` on a bare run (will fail)\n\n---\n\n### 3. Run Iteration\n\n```bash\n$CLI run:iterate <runDir> --json --iteration <n>\n```\n\n**Output:**\n```json\n{\n  \"iteration\": 1,\n  \"status\": \"executed|waiting|completed|failed|none\",\n  \"action\": \"executed-tasks|waiting|none\",\n  \"reason\": \"auto-runnable-tasks|breakpoint-waiting|terminal-state\",\n  \"count\": 3,\n  \"completionProof\": \"only-present-when-completed\",\n  \"metadata\": { \"runId\": \"...\", \"processId\": \"...\" }\n}\n```\n\n**Status values:**\n- `\"executed\"` - Tasks executed, continue looping\n- `\"waiting\"` - Breakpoint/sleep, pause until released\n- `\"completed\"` - Run finished successfully\n- `\"failed\"` - Run failed with error\n- `\"none\"` - No pending effects\n\n**Common mistake to avoid:**\n- wrong: Stopping the session and waiting for a hook callback that will never\n  arrive\n- correct: After posting the result, continuing to the next run:iterate in the\n  same turn until the run completes, since the stop-hook drives the loop\n  in-turn\n\n---\n\n### 4. Get Effects\n\n```bash\n$CLI task:list <runDir> --pending --json\n```\n\n**Output:**\n```json\n{\n  \"tasks\": [\n    {\n      \"effectId\": \"effect-abc123\",\n      \"kind\": \"agent|skill|shell|node|breakpoint\",\n      \"label\": \"auto\",\n      \"status\": \"requested\"\n    }\n  ]\n}\n```\n\n### 5. Perform Effects\n\nRun the effect externally to the SDK (by you, your hook, or another worker).\nAfter execution (by delegation to an agent or skill), post the outcome summary\ninto the run by calling `task:post`, which:\n- Writes the committed result to `tasks/<effectId>/result.json`\n- Appends an `EFFECT_RESOLVED` event to the journal\n- Updates the state cache\n\nIMPORTANT:\n- Delegate using the Task tool if possible.\n- If a pending effect is `shell` or legacy `node`, the orchestrating agent must\n  execute that work intentionally and then post the result via `task:post`.\n  Never assume the SDK or host will auto-run it.\n- If a shell/effect keeps failing because the process logic is wrong, the\n  command is impossible, or the recorded run state is inconsistent, do not just\n  retry forever. Repair the process file itself and/or the relevant journal/task\n  files, then continue the loop from the corrected state.\n- When delegating substantial work to an agent or skill, pass a generous\n  timeout budget and instruct the worker to execute the task fully and return\n  the actual result, not a plan.\n- Make sure the change was actually performed and not described or implied.\n  (for example, if code files were mentioned as created in the summary, make\n  sure they were actually created.)\n- Include in the instructions to the agent or skill to perform the task in\n  full and return only the summary result in the requested schema.\n\n---\n\n#### 5.1 Breakpoint Handling\n\n##### 5.1.1 Interactive mode\n\nAsk the user explicitly for approval. Include explicit approve/reject options\nso the user's intent is unambiguous.\n\n**CRITICAL: Response validation rules:**\n- If the response is empty, no selection, or dismissed: treat as **NOT\n  approved**. Re-ask the question or keep the breakpoint pending. Do NOT\n  proceed.\n- NEVER fabricate, synthesize, or infer approval text. Only pass through the\n  user's actual selected response verbatim.\n- NEVER assume approval from ambiguous, empty, or missing responses. When in\n  doubt, the answer is \"not approved\".\n\n**CRITICAL: Breakpoint rejection posting rules:**\n- Breakpoint rejection MUST be posted with `--status ok` and a value of\n  `{\"approved\": false, \"response\": \"...\"}`. NEVER use `--status error` for a\n  user rejection -- that signals a task execution failure, not user feedback.\n  If bad posted data later causes `PROCESS_RUNTIME_ERROR`, inspect it with\n  `run:status`/`run:events` and recover with `run:recover-process-error`;\n  reserve manual journal repair for malformed or partially written journal\n  entries that targeted recovery cannot represent.\n- Only use `--status error` if the AskUserQuestion itself throws an error.\n\n**Breakpoint posting examples:**\n\n```bash\n# User approved the breakpoint\necho '{\"approved\": true, \"response\": \"Looks good, proceed\"}' > tasks/<effectId>/output.json\n$CLI task:post <runId> <effectId> --status ok --value tasks/<effectId>/output.json\n\n# User rejected the breakpoint (ALWAYS use --status ok, not --status error)\necho '{\"approved\": false, \"response\": \"Stop here\"}' > tasks/<effectId>/output.json\n$CLI task:post <runId> <effectId> --status ok --value tasks/<effectId>/output.json\n```\n\n**Breakpoint value payload schema:**\n\n| Field | Type | Required | Description |\n|-------|------|----------|-------------|\n| `approved` | `boolean` | Yes | Whether the user approved the breakpoint |\n| `response` | `string` | No | The user's response text or selected option |\n| `feedback` | `string` | No | Additional feedback from the user |\n\n##### 5.1.2 Auto-Approval Mode\n\nBreakpoint tasks may include a pre-computed `autoApproval` field in task.json:\n\n```json\n{\n  \"autoApproval\": {\n    \"recommended\": true,\n    \"reason\": \"Matched auto-approve rule: rule-a1b2c3d4\",\n    \"matchedRule\": \"rule-a1b2c3d4\",\n    \"consecutiveApprovals\": 5\n  }\n}\n```\n\nWhen `autoApproval.recommended` is `true`, the harness MAY auto-approve the\nbreakpoint without prompting the user. The `reason` field explains why.\n\nAlternatively, use the CLI to check at runtime:\n\n```bash\n$CLI breakpoint:should-auto-approve <breakpointId> --tags <csv> --expert <expert> --json\n```\n\n**Important:** `never-auto-approve` rules and profile `alwaysBreakOn` tags\nalways override auto-approval. If `autoApproval.recommended` is `false`, always\nprompt the user.\n\n**Breakpoint auto-approval options in `ctx.breakpoint()`:**\n\n| Field | Type | Description |\n|-------|------|-------------|\n| `breakpointId` | `string` | Canonical identity (dotted namespace, kebab-case). Auto-derived from title if omitted. |\n| `autoApproveAfterN` | `number` | Auto-approve after N consecutive approvals. `-1` = disabled (default). |\n| `presentAlwaysApprove` | `boolean` | Show \"Always Approve\" option to user. Default: `true`. |\n\n##### 5.1.3 Non-interactive mode\n\nWhen the run was created with `--non-interactive`, breakpoints are auto-approved\nat the runtime level and never appear as pending effects. No orchestrator action\nis needed for breakpoints in this mode.\n\nIf running non-interactively without the `--non-interactive` flag (e.g. no\nquestion tool available), choose the best option from context and post the\nresult. Rejections still use `--status ok` with `{\"approved\": false}`.\n\n---\n\n### 6. Results Posting\n\n**IMPORTANT**: Do NOT write `result.json` directly. The SDK owns that file.\n\n**Workflow:**\n\n1. Write the result **value** to a separate file (e.g., `output.json` or\n   `value.json`):\n```json\n{\n  \"score\": 85,\n  \"details\": { ... }\n}\n```\n\n2. Post the result, either by passing the value file or inline JSON:\n```bash\n$CLI task:post <runDir> <effectId> \\\n  --status ok \\\n  --value tasks/<effectId>/output.json \\\n  --json\n\n$CLI task:post <runDir> <effectId> \\\n  --status ok \\\n  --value-inline '{\"score\": 85}' \\\n  --json\n```\n\nThe `task:post` command will:\n- Read the value from your file or inline JSON\n- Write the complete `result.json` (including schema, metadata, and your value)\n- Append an `EFFECT_RESOLVED` event to the journal\n- Update the state cache\n\n**Available flags:**\n- `--status <ok|error>` (required)\n- `--value <file>` - Result value (for status=ok)\n- `--value-inline <json>` - Inline result value JSON (for status=ok, cannot be combined with `--value`)\n- `--error <file>` - Error payload (for status=error)\n- `--stdout-file <file>` - Capture stdout\n- `--stderr-file <file>` - Capture stderr\n- `--started-at <iso8601>` - Task start time\n- `--finished-at <iso8601>` - Task end time\n- `--metadata <file>` - Additional metadata JSON\n\n**Common mistake to avoid:**\n```bash\n# wrong: Writing result.json directly\necho '{\"result\": {...}}' > tasks/<effectId>/result.json\n$CLI task:post <runId> <effectId> --status ok\n\n# correct: Write value to a separate file or pass inline JSON, then let SDK create result.json\necho '{\"score\": 85}' > tasks/<effectId>/output.json\n$CLI task:post <runId> <effectId> --status ok --value tasks/<effectId>/output.json\n\n$CLI task:post <runId> <effectId> --status ok --value-inline '{\"score\": 85}'\n```\n\n**Breakpoint-specific posting:**\n\n```bash\n# Breakpoint approval\necho '{\"approved\": true, \"response\": \"User approved\"}' > tasks/<effectId>/output.json\n$CLI task:post <runId> <effectId> --status ok --value tasks/<effectId>/output.json\n\n# Breakpoint rejection (ALWAYS use --status ok, not --status error)\necho '{\"approved\": false, \"response\": \"User rejected\"}' > tasks/<effectId>/output.json\n$CLI task:post <runId> <effectId> --status ok --value tasks/<effectId>/output.json\n```\n\n---\n\n### 7. Drive the orchestration loop in-turn\n\nHooks are not available in this orchestration environment. You are responsible\nfor driving the loop yourself: after `run:create`, keep iterating in the same\nturn -- call `run:iterate`, inspect pending tasks, perform effects, call\n`task:post`, and repeat until the run reaches a terminal state or you need\nexplicit user input for a breakpoint.\n\nThis is not considered bypassing the orchestration model as long as each\niteration and effect is handled through the CLI and run journal.\n\nIf the loop is stuck because the process logic is wrong or because the same\nshell/effect keeps failing with no path to success, you must repair the run\ninstead of blindly retrying. Read the process file and run artifacts, then\nmodify the process file itself and/or adjust the relevant journal/task files so\nthat the next iteration can advance honestly.\n\nCommon mistakes to avoid:\n- wrong: Stopping the session and waiting for a hook callback that will never\n  arrive.\n- correct: Continuing the orchestration loop in-turn: iterate, perform effects,\n  post results, iterate again until the run completes.\n- wrong: Re-running the same failing shell task forever after it is clear the\n  process logic or recorded effect state is broken.\n- correct: Repairing the process definition and, when necessary, the run's\n  journal/task artifacts, then continuing iteration from the repaired state.\n- wrong: Skipping the CLI and executing tasks directly without the journal.\n- correct: Using `run:iterate` and `task:post` for every step, even when driving\n  the loop yourself.\n\n---\n\n### 8. Completion Proof\n\nWhen the run is completed, the CLI will emit a `completionProof` value in the\noutput of `run:iterate` and `run:status`. You must return that exact value\nwrapped in a `<promise>...</promise>` tag to signal completion to the stop-hook\nloop.\n\n### Progressing Between The Phases\n\nAfter you run `run:create`, progress through the phases above by continuing\nto iterate in the same session. Drive the loop yourself: call `run:iterate`,\nperform effects, post results, and repeat until the run completes or you need\nexplicit user input for a breakpoint.\n\n---\n\n## Task Kinds\n\n**CRITICAL RULE: NEVER use `node` kind effects in generated processes.** The\n`node` kind executes inline Node.js scripts which bypasses the agent\norchestration model entirely. Every task that would be a `node` effect MUST be\nconverted to an `agent` or `skill` effect instead. The only acceptable\nnon-agent kinds are `shell` (for running existing test suites, git commands, or\nbuild tools), `breakpoint` (human approval), and `sleep` (time gates).\n\n| Kind | Description | Executor | When to use |\n|------|-------------|----------|-------------|\n| ~~`node`~~ | ~~Node.js script~~ | ~~Local node process~~ | **NEVER -- forbidden. Convert to `agent` or `skill`.** |\n| `shell` | Shell command | Local shell process | **Deterministic verification** (compilation, linting, tests, grep, dependency checks, smoke tests) AND running existing CLI tools, git, builds. The orchestrating agent must execute it intentionally and post the result |\n| `agent` | LLM agent | Agent runtime | **Default for reasoning tasks** -- planning, implementation, analysis, scoring, debugging, code writing, research. Also for **subjective verification** (code review, architecture assessment, UX evaluation) |\n| `skill` |  | Skill system | When a matching installed skill exists (preferred over agent when available) |\n| `breakpoint` | Human approval | UI/CLI | Decision gates requiring user input. May include pre-computed `autoApproval` field with `{ recommended, reason, matchedRule?, consecutiveApprovals? }` for harness-mediated auto-approval. |\n| `sleep` | Time gate | Scheduler | Time-based pauses |\n\n### Shell vs Agent for Verification Tasks\n\n**CRITICAL:** Verification tasks that produce deterministic, binary pass/fail\nresults MUST use `kind: 'shell'` with `expectedExitCode`, NOT `kind: 'agent'`.\nAgent-interpreted verification creates soft gates where an LLM subjectively\nassesses pass/fail -- this is unreliable for objectively testable checks.\n\n| Verification type | Correct kind | Why |\n|-------------------|-------------|-----|\n| Compilation (tsc, gcc) | `shell` | Exit code is deterministic pass/fail |\n| Linting (eslint, ruff) | `shell` | Exit code is deterministic pass/fail |\n| Test suites (vitest, jest) | `shell` | Exit code is deterministic pass/fail |\n| Grep/pattern checks | `shell` | Pattern exists or it doesn't |\n| Dependency availability | `shell` | `node -e \"require('pkg')\"` succeeds or fails |\n| Runtime smoke tests | `shell` | Start, curl, check status code, stop |\n| Code review / design quality | `agent` | Requires subjective judgment |\n| Architecture assessment | `agent` | Requires reasoning about tradeoffs |\n| UX evaluation | `agent` | Subjective quality assessment |\n\n**Anti-pattern (wrong):**\n```javascript\n// BAD: agent-interpreted verification -- the agent can say \"looks good\" without running anything\nconst verifyTask = defineTask('verify-compilation', (args, taskCtx) => ({\n  kind: 'agent',\n  title: 'Verify TypeScript compiles',\n  agent: { prompt: { instructions: ['Run tsc and check it passes'] } }\n}));\n```\n\n**Correct pattern:**\n```javascript\n// GOOD: deterministic shell gate -- exit code cannot be negotiated\nconst verifyTask = defineTask('verify-compilation', (args, taskCtx) => ({\n  kind: 'shell',\n  title: 'TypeScript compilation check',\n  shell: { command: 'npx tsc --noEmit', expectedExitCode: 0, timeout: 120000 }\n}));\n```\n\nUse `library/processes/shared/deterministic-quality-gate.js` for composable\npreset gates (grep checks, compilation, test suites, runtime smoke tests).\n\n### Effect Execution Hints\n\nTasks can include an `execution` field to express preferences about how the effect should be executed:\n\n| Field | Description |\n|-------|-------------|\n| `execution.model` | Preferred model for the task (e.g., `'claude-opus-4-6'`). Used for subagent selection. |\n\n| `execution.harness` | Preferred internal harness CLI for the task. This is routing metadata for harnesses that implement it, not a universal plugin contract. |\n| `execution.permissions` | Internal harness permission hints. Plugins may ignore them; do not treat them as a cross-harness security boundary. |\n\nUse `execution.permissions` only when you are targeting an internal harness flow that actually interprets the hints. If a task must rely on a security boundary across plugin targets, encode that boundary in the execution path itself instead of assuming plugins will enforce these hints.\n\nExample:\n\n```javascript\ndefineTask('my-task', (args, taskCtx) => ({\n  kind: 'agent',\n  title: 'My task',\n  execution: {\n    model: 'claude-opus-4-6',\n\n    harness: 'pi',\n    permissions: ['fs:read', 'fs:write'],\n\n  },\n  agent: {\n    name: 'general-purpose',\n    prompt: {\n      role: 'Task executor',\n      task: 'Perform the requested work',\n      context: { ...args },\n      instructions: ['Execute the task'],\n      outputFormat: 'JSON'\n    },\n    outputSchema: { type: 'object', required: ['result'] }\n  },\n  io: {\n    inputJsonPath: `tasks/${taskCtx.effectId}/inputs.json`,\n    outputJsonPath: `tasks/${taskCtx.effectId}/result.json`\n  }\n}));\n```\n\n---\n\n### Agent Task Example\n\nImportant: Check which subagents and agents are actually available before\nassigning the name. If none, pass the general-purpose subagent. Check the\nsubagents and agents in the plugin (in nested folders) and to find relevant\nsubagents and agents to use as a reference. Specifically check subagents and\nagents in folders next to the reference process file.\n\nWhen executing the agent task, use the Task tool. Never use the Babysitter skill\nor agent to execute the task.\nWhen the Task tool or delegated worker accepts a timeout, use a generous budget\nfor real coding or verification work instead of a short default.\n\n```javascript\nexport const agentTask = defineTask('agent-scorer', (args, taskCtx) => ({\n  kind: 'agent',\n  title: 'Agent scoring',\n  agent: {\n    name: 'quality-scorer',\n    prompt: {\n      role: 'QA engineer',\n      task: 'Score results 0-100',\n      context: { ...args },\n      instructions: ['Review', 'Score', 'Recommend'],\n      outputFormat: 'JSON'\n    },\n    outputSchema: {\n      type: 'object',\n      required: ['score']\n    }\n  },\n\n  io: {\n    inputJsonPath: `tasks/${taskCtx.effectId}/inputs.json`,\n    outputJsonPath: `tasks/${taskCtx.effectId}/output.json`\n  }\n}));\n```\n\n### Shell Verification Task Example\n\nUse shell tasks for all deterministic verification gates. Shell tasks produce\nbinary pass/fail results via exit codes that cannot be bypassed by agent\nreasoning.\n\n```javascript\n// Grep-based integration check\nexport const grepCheckTask = defineTask('grep-integration-check', (args, taskCtx) => ({\n  kind: 'shell',\n  title: 'Verify integration points exist',\n  shell: {\n    command: `cd ${args.projectDir || '.'} && grep -q \"${args.pattern}\" ${args.file}`,\n    expectedExitCode: 0,\n    timeout: 10000\n  },\n  io: {\n    inputJsonPath: `tasks/${taskCtx.effectId}/inputs.json`,\n    outputJsonPath: `tasks/${taskCtx.effectId}/output.json`\n  }\n}));\n\n// Multi-check verification gate\nexport const verificationGateTask = defineTask('verification-gate', (args, taskCtx) => ({\n  kind: 'shell',\n  title: 'Deterministic verification gate',\n  shell: {\n    command: [\n      `cd ${args.projectDir || '.'}`,\n      'npx tsc --noEmit',\n      'npx eslint src/ --max-warnings=0',\n      'npx vitest run --reporter=verbose'\n    ].join(' && '),\n    expectedExitCode: 0,\n    timeout: 300000\n  },\n  io: {\n    inputJsonPath: `tasks/${taskCtx.effectId}/inputs.json`,\n    outputJsonPath: `tasks/${taskCtx.effectId}/output.json`\n  }\n}));\n```\n\nWhen downstream process code reads fields from a shell task's JSON result,\ndeclare a top-level `outputSchema`. Successful posts that do not match are\nrejected before `result.json` or `EFFECT_RESOLVED` is written.\n\n```javascript\nexport const liveVerifyTask = defineTask('live-verify', (args, taskCtx) => ({\n  kind: 'shell',\n  title: 'Live verification',\n  shell: {\n    command: `cd ${args.projectDir || '.'} && node scripts/live-verify.js`,\n    expectedExitCode: 0,\n    timeout: 60000\n  },\n  outputSchema: {\n    type: 'object',\n    required: ['verified', 'checks'],\n    properties: {\n      verified: { type: 'boolean' },\n      checks: { type: 'array' }\n    }\n  },\n  io: {\n    inputJsonPath: `tasks/${taskCtx.effectId}/inputs.json`,\n    outputJsonPath: `tasks/${taskCtx.effectId}/output.json`\n  }\n}));\n```\n\nUse `library/processes/shared/deterministic-quality-gate.js` for composable\npreset gates (createGrepCheck, createCompilationGate, createTestSuiteGate,\ncreateRuntimeSmokeTest).\n\n### Runtime Spec Read + Agent Prompt Example (drift defense, issue #129)\n\nPair a `kind: 'shell'` `cat` task with a `kind: 'agent'` task so the spec\nbytes are pulled from disk at execution time and interpolated verbatim into\nthe agent prompt. This keeps spec text out of the process-authoring compose\npass, where token proximity bias would otherwise rewrite acceptance criteria\nto match recently-built implementation artifacts.\n\n```javascript\n// Phase 1: read the spec at execution time (bytes bypass your compose pass).\nexport const readSpecTask = defineTask('read-spec', (args, taskCtx) => ({\n  kind: 'shell',\n  title: `Read spec ${args.specPath}`,\n  shell: {\n    command: `cat ${args.specPath}`,\n    expectedExitCode: 0,\n    timeout: 5000,\n  },\n  io: {\n    inputJsonPath: `tasks/${taskCtx.effectId}/inputs.json`,\n    outputJsonPath: `tasks/${taskCtx.effectId}/output.json`,\n  },\n}));\n\n// Phase 2: test-authoring agent -- prompt interpolates spec.stdout verbatim,\n// and the prompt explicitly forbids reading implementation files. Author\n// tests strictly from the spec. Place this phase BEFORE any implementation\n// phase so tests are frozen inputs, not post-hoc rationalizations.\nexport const authorTestsFromSpecTask = defineTask(\n  'author-tests-from-spec',\n  (args, taskCtx) => ({\n    kind: 'agent',\n    title: 'Author tests from spec (no implementation access)',\n    agent: {\n      name: 'general-purpose',\n      prompt: {\n        role: 'Test author',\n        task: 'Author tests that exercise every acceptance criterion below.',\n        context: {\n          specVerbatim: args.specStdout,  // from readSpecTask.stdout\n          testFilePath: args.testFilePath,\n        },\n        instructions: [\n          'Treat the SPEC block below as the sole source of truth.',\n          'Do not read files under src/ or implementation directories.',\n          'Cite spec line numbers in each test name.',\n          'If a criterion is impossible to test as written, raise a',\n          '  breakpoint -- do not rewrite the criterion.',\n          '',\n          'SPEC (verbatim, do not paraphrase):',\n          '---',\n          args.specStdout,\n          '---',\n        ],\n      },\n    },\n    io: {\n      inputJsonPath: `tasks/${taskCtx.effectId}/inputs.json`,\n      outputJsonPath: `tasks/${taskCtx.effectId}/output.json`,\n    },\n  }),\n);\n\n// Phase N: verification agent -- re-read spec AND artifacts fresh via cat/\n// git show, interpolate both verbatim, and end with a direct compare\n// instruction. Recency anchors the verifier's attention on source-of-truth\n// rather than accumulated narrative drift.\nexport const verifyAgainstSpecTask = defineTask(\n  'verify-against-spec',\n  (args, taskCtx) => ({\n    kind: 'agent',\n    title: 'Spec-vs-artifact verification (recency-anchored)',\n    agent: {\n      name: 'general-purpose',\n      prompt: {\n        role: 'Acceptance reviewer',\n        task: 'Compare SPEC to ARTIFACTS directly. Report per-criterion pass/fail.',\n        instructions: [\n          'Ignore any narrative in your context about how ARTIFACTS were built.',\n          'Do not summarize either block -- compare line by line.',\n          '',\n          'SPEC (verbatim):',\n          '---',\n          args.specStdout,\n          '---',\n          '',\n          'ARTIFACTS (verbatim):',\n          '---',\n          args.artifactsStdout,\n          '---',\n        ],\n      },\n    },\n    io: {\n      inputJsonPath: `tasks/${taskCtx.effectId}/inputs.json`,\n      outputJsonPath: `tasks/${taskCtx.effectId}/output.json`,\n    },\n  }),\n);\n```\n\nThe spec source can be any file -- markdown specs under `specs/`, issue body\ndumps written to `/tmp/`, `bd show <id> > /tmp/spec.md`, etc. The pattern is\northogonal to the spec-tracking tool; what matters is that the bytes are read\nat execution time, not authored into the process file as a string literal.\n\n### Skill Task Example\n\nImportant: Check which skills are actually available before assigning the skill\nname. Check the skills in the plugin (in nested folders) and to find relevant\nskills to use as a reference. Skills are preferred over subagents for executing\ntasks.\nWhen delegating the skill execution, use a generous timeout budget and require\nthe skill to execute the work and return the real result.\n\n```javascript\nexport const skillTask = defineTask('analyzer-skill', (args, taskCtx) => ({\n  kind: 'skill',\n  title: 'Analyze codebase',\n\n  skill: {\n    name: 'codebase-analyzer',\n    context: {\n      scope: args.scope,\n      depth: args.depth,\n      analysisType: args.type,\n      criteria: ['Code consistency', 'Naming conventions', 'Error handling'],\n      instructions: [\n        'Scan specified paths for code patterns',\n        'Analyze consistency across the codebase',\n        'Check naming conventions',\n        'Review error handling patterns',\n        'Generate structured analysis report'\n      ]\n    }\n  },\n\n  io: {\n    inputJsonPath: `tasks/${taskCtx.effectId}/inputs.json`,\n    outputJsonPath: `tasks/${taskCtx.effectId}/output.json`\n  }\n}));\n```\n\n---\n\n## Quick Commands Reference\n\n**Create run (with session binding):**\n```bash\n$CLI run:create --process-id <id> --entry <path>#<export> --inputs <file> \\\n  --prompt \"$PROMPT\" --harness pi [--non-interactive] --json\n```\n\n`--harness` binds the run to the current session via the **PID-scoped session\nmarker** (authoritative) written by the session-start hook. The harness env\nfile and `AGENT_SESSION_ID` env var are only consulted as fallbacks, so\nruns stay bound to the correct session even when env vars are stale or\ninherited across shells. Verify with `babysitter session:whoami --json`.\n\n**Check status:**\n```bash\n$CLI run:status <runId> --json\n```\n\nWhen the run completes, `run:iterate` and `run:status` emit `completionProof`.\nUse that exact value in a `<promise>...</promise>` tag to end the loop.\n\n**View events:**\n```bash\n$CLI run:events <runId> --limit 20 --reverse\n```\n\n**List tasks:**\n```bash\n$CLI task:list <runId> --pending --json\n```\n\n**Post task result:**\n```bash\n$CLI task:post <runId> <effectId> --status <ok|error> --json\n```\n\n**Assign process to bare run:**\n```bash\n$CLI run:assign-process <runDir> --entry <path>#<export> [--process-id <id>] [--json]\n```\n\n**Iterate:**\n```bash\n$CLI run:iterate <runId> --json --iteration <n>\n```\n\n---\n\n## Recovery from failure\n\nIf at any point the run fails due to SDK issues or corrupted state or journal,\nanalyze the error and the journal events. Recover the state and journal to the\nlast known good state, adapt, and try to continue the run.\n\nIf `run:events` or `run:status --json` shows `PROCESS_RUNTIME_ERROR`, prefer the\ntargeted recovery command before manual journal edits:\n\n```bash\n$CLI run:recover-process-error <runId> --dry-run --json\n$CLI run:recover-process-error <runId> --patch-effect '<effectId>:checks=[]' --json\n```\n\nPatch the offending task result only when the fix is clear. Running recovery\nwithout a patch is allowed, but the next `run:iterate` should honestly rethrow if\nthe bad result remains.\n\nWhen recovery requires it, repair the actual process/run artifacts instead of\nonly describing the problem. If the process authored a bad loop, impossible\nshell command, or permanently failing effect pattern, edit the process file\nitself. If the run metadata is what is blocking replay, repair the journal\nentries and/or task files/results so the next `run:iterate` can proceed from a\ncoherent state.\n\n---\n\n## Process Creation Guidelines and methodologies\n\n- When building UX and full stack applications, integrate/link the main pages\n  of the frontend with functionality created for every phase of the development\n  process (where relevant), so that there is a way to test the functionality as\n  you go.\n\n- Unless otherwise specified, prefer quality gated iterative development loops\n  in the process.\n\n- You can change the process after the run is created or during the run (and\n  adapt the process accordingly and journal accordingly) in case you discover new\n  information or requirements.\n\n- The process should be a comprehensive and complete solution to the user\n  request.\n\n- The process should usually be a composition (in code) of multiple processes\n  from the process library (not just one), for multiple phases and parts of the\n  process, each utilizing a different process from the library as a reference.\n\n- Include verification and refinement steps (and loops) for planning phases and\n  integration phases, debugging phases, refactoring phases, etc.\n\n- Create the process with (and around) the available skills and subagents.\n  (check which are available first and use discover to find them)\n\n- Prefer incremental work that allows testing and experimentation with the new\n  functionality as you go.\n\n### Process File Discovery Markers\n\nWhen creating process files, include `@skill` and `@agent` markers in the JSDoc\nheader listing the skills and agents relevant to this process. The SDK reads\nthese markers to provide targeted discovery results instead of scanning all\navailable skills.\n\n**Format** (one per line, path relative to the active process-library root):\n```javascript\n/**\n * @process specializations/web-development/react-app-development\n * @description React app development with TDD\n * @skill frontend-design specializations/web-development/skills/frontend-design/SKILL.md\n * @agent frontend-architect specializations/web-development/agents/frontend-architect/AGENT.md\n */\n```\n\n**Steps during process creation:**\n1. Use `babysitter skill:discover --process-path <path> --json` to find\n   relevant skills/agents in the specialization directory\n2. Select the ones actually needed by the process tasks\n3. Add them as `@skill`/`@agent` markers in the JSDoc header\n4. Use full relative path from the active process-library root returned in\n   `binding.dir` by `babysitter process-library:active --json`\n\n- Unless otherwise specified, prefer processes that close the widest loop in the\n  quality gates (for example e2e tests with a full browser or emulator/vm if it\n  is a mobile or desktop app) AND gates that make sure the work is accurate\n  against the user request (all the specs are covered and no extra stuff was\n  added unless permitted by the intent of the user).\n\n- Scan the methodologies and processes in the active process library and the SDK\n  package to find relevant processes and methodologies to use as a reference.\n  This search is mandatory before writing the process.\n\n- If you encounter a generic reusable part of a process that can be later reused\n  and composed, build it in a modular way and organize it in the `.a5c/processes`\n  directory.\n\nPrefer processes that have the following characteristics unless otherwise\nspecified:\n  - In case of a new project, plan the architecture, stack, parts, milestones\n  - In case of an existing project, analyze the architecture, stack, relevant\n    parts, milestones, and plan the changes\n  - In case of modifying existing code (brownfield), trace the runtime call path\n    from user-facing entry points through to final output before planning changes;\n    record traced paths as `runtimeCallPaths` in the planning output; only modify\n    files that are actually on the live execution path (see ADVANCED_PATTERNS.md\n    Pattern 9 for the full pattern)\n  - Integrate/link the main pages (or entry points) with functionality created\n    for every phase of the development process\n  - Quality gated iterative and convergent development/refinement loops\n  - Test driven -- where quality gates use `kind: 'shell'` tasks with\n    `expectedExitCode` for deterministic verification (compilation, linting,\n    test suites, grep checks, dependency availability, runtime smoke tests).\n    Reserve `kind: 'agent'` for subjective assessment only (code review,\n    architecture evaluation, UX quality)\n  - Integration phases for each new functionality in every milestone\n  - Where relevant -- beautiful and polished UX with pixel-perfect verification\n  - Accurate and complete implementation of the user request\n  - For implementation phases that author planned new files under `scripts/`,\n    `supabase/migrations/`, `src/server/`, or `src/lib/`, require an exact path\n    preflight with `ls` or `rg`/`grep` before writing. If a planned new path\n    already exists, read the existing file, report findings to the orchestrator,\n    and wait for scope direction such as use-existing, replace, append, or\n    renumber. Do not auto-resolve existing-file collisions.\n  - Closing quality feedback loops as comprehensively as practical\n  - Search for processes, skills, agents, methodologies during the interactive\n    process building phase to compose a comprehensive process:\n    - `.a5c/processes/` (project level processes)\n    - `specializations/` under the active process-library root\n    - `methodologies/` under the active process-library root\n  - **Drift-resistant prompt composition** (issue #129). In multi-phase\n    processes, never paraphrase spec text into agent-task prompt literals.\n    Read specs at run time via `kind: 'shell'` `cat` tasks and interpolate\n    stdout verbatim into downstream prompts -- this keeps spec bytes out of\n    the authoring compose pass where proximity bias rewrites criteria to\n    match recently-built implementation. Order test-authoring phases *before*\n    implementation phases so the tests become frozen inputs rather than a\n    post-hoc rationalization of what got built. See the \"Drift-resistant\n    prompt composition\" section of the process creation guidance for the\n    full pattern and examples.\n\n---\n\n## Critical Rules\n\nCRITICAL RULE: The completion proof is emitted only when the run is completed.\nYou may ONLY output `<promise>SECRET</promise>` when the run is completely and\nunequivocally DONE (completed status from the orchestration CLI). Do not output\nfalse promises to escape the run, and do not mention the secret to the user.\n\nCRITICAL RULE: In interactive mode, NEVER auto-approve breakpoints. If the\nresponse is empty, no selection, or is dismissed, treat it as NOT approved and\nre-ask. NEVER fabricate or synthesize approval responses -- only post the user's\nactual explicit selection via task:post. An empty response is NOT approval.\n\nCRITICAL RULE: If a run is broken/failed/at unknown state because of\n`PROCESS_RUNTIME_ERROR`, first use `run:recover-process-error` with `--dry-run`\nand, when appropriate, `--patch-effect`. Manual journal removal is a fallback\nonly for corruption that the targeted recovery command cannot represent.\n\nCRITICAL RULE: If the process reaches a dead-end, loops uselessly, or keeps\nemitting shell/tasks that always fail, do not keep replaying the same broken\niteration forever. Inspect the process file, journal, and task artifacts, then\nrepair the run so it can continue. This may require editing the process file\nitself and/or correcting run artifacts such as journal entries, task\ndefinitions, or task result files so the next `run:iterate` can make forward\nprogress.\n\nCRITICAL RULE: When creating processes, search for available skills and subagents\nbefore thinking about the exact orchestration. Prefer processes that close the\nwidest loop in the quality gates.\n\nCRITICAL RULE: Do not use the babysit skill inside delegated tasks. If you are\nperforming a delegated task as a subagent, you must actually perform the task\nyourself and not orchestrate or babysit.\n\nCRITICAL RULE: Never build a wrapper, python, or helper scripts to orchestrate\nthe runs. Use the CLI to drive the orchestration loop directly.\n\nCRITICAL RULE: Never fallback to simpler execution if the user activated this\nskill. Persist in executing the orchestration itself -- you must create a valid\nprocess js file, create a run (with `--harness pi` to bind the session\nauthoritatively via the PID-scoped session marker -- the run stays bound to the\ncorrect session even when shells inherit stale `AGENT_SESSION_ID` env vars\nfrom ancestor processes), then iterate the run until it is completed.\n\nCRITICAL RULE: Hooks are NOT available in this environment. You MUST drive the\norchestration loop yourself in-turn: after run:create, keep calling run:iterate,\nperforming effects, and posting results in the same session until the run reaches\na terminal state or you need explicit user input for a breakpoint. Do NOT stop\nand wait for a hook callback -- it will never arrive.\n\nCRITICAL RULE: NEVER use `kind: 'node'` in generated process files. All tasks\nMUST use `kind: 'agent'` or `kind: 'skill'`. The only non-agent kinds allowed\nare `shell` (for existing CLI tools/tests/git), `breakpoint`, and `sleep`.\n\nCRITICAL RULE: NEVER bypass, avoid, or skip the babysitter orchestration model\nwhen the user explicitly requested this skill. Do not execute the tasks yourself,\ndo not create helper scripts. Use the CLI to drive the orchestration loop.\nNot for simple tasks, and even if things get complicated.\nPersist in executing the orchestration itself.\n\nNOTE: CI pipelines and legacy workflows that deliberately export\n`AGENT_SESSION_ID` to bind a run across a pre-launched shell can opt into\nthe old env-var-first behavior by setting `AGENT_TRUST_ENV_SESSION=1`. This\nis an escape hatch only -- interactive sessions should rely on the PID-scoped\nsession marker written by the session-start hook.\n\n---\n\n# Priority Ladder\n\nWhen rules conflict, apply them in this order — higher beats lower:\n\n1. **User's explicit instructions** in the current conversation.\n2. **Project instructions** (CLAUDE.md, AGENTS.md, GEMINI.md, and other\n   checked-in guidance files).\n3. **Skill and process definitions** that the current run is executing.\n4. **Default system guidance** (these prompt parts).\n\nIf a lower-priority rule would override a higher-priority one, follow\nthe higher-priority one. Do not silently drop the lower rule — note\nthe override briefly if it would surprise a reader.\n\n---\n\n# Coding Philosophy\n\n- Do not add features, refactor code, or make \"improvements\" beyond what was asked. A bug fix does not need surrounding code cleaned up. A simple feature does not need extra configurability.\n- Do not add docstrings, comments, or type annotations to code you did not change. Only add comments where the logic is not self-evident.\n- Do not add error handling, fallbacks, or validation for scenarios that cannot happen. Trust internal code and framework guarantees. Only validate at system boundaries (user input, external APIs).\n- Do not create helpers, utilities, or abstractions for one-time operations. Do not design for hypothetical future requirements. Three similar lines of code is better than a premature abstraction.\n- Avoid backwards-compatibility hacks like renaming unused _vars, re-exporting types, adding removed comments for removed code. If something is unused, delete it completely.\n- Prefer editing existing files over creating new ones. This prevents file bloat and builds on existing work.\n- Before authoring planned new files under `scripts/`, `supabase/migrations/`, `src/server/`, or `src/lib/`, check each exact path with `ls` or `rg`/`grep`. If a planned new path already exists, read the existing file, report findings to the orchestrator, and wait for scope direction such as use-existing, replace, append, or renumber. Do not auto-resolve existing-file collisions.\n- Do not add feature flags or backwards-compatibility shims when you can just change the code.\n- Address root causes, not symptoms. If a fix only patches a surface effect, trace the underlying cause and fix there instead. A bug that resurfaces elsewhere was not fixed.\n- When a bug pattern is likely to recur, add a preventative guardrail: a test that would have caught it, a lint rule, or a hook. Do not add guardrails for scenarios that cannot recur.\n- When code changes deviate from existing documentation, update the docs in the same change. Do not leave docs referring to the old behavior.\n\n---\n\n# Root Cause & Guardrail\n\n- When diagnosing a failure, keep asking *why* until you reach a cause\n  a change can actually fix. A fix that only makes the symptom go away\n  leaves the cause live elsewhere.\n- Prefer a small change at the root over a large change at the surface.\n  If the surface-level fix is faster, note what the real cause is so it\n  can be revisited.\n- When the same bug category has already appeared more than once, add a\n  guardrail: a test that reproduces it, a lint/type rule that blocks\n  it, or a pre-commit/CI check. A guardrail that would not catch the\n  next occurrence is not worth adding.\n- Do not disable tests, checks, or safety rails to make a run pass.\n  Either fix the underlying issue, or stop and surface it.\n\n---\n\n# Tool Preferences\n\n- Use dedicated tools instead of shell commands when available: Read (not cat/head/tail), Edit (not sed/awk), Write (not echo/heredoc), Glob (not find/ls), Grep (not grep/rg).\n- You MUST read a file before editing it. Never edit a file you have not read in this session.\n- Reserve shell/Bash for system commands and terminal operations that require actual shell execution.\n- For file search, use Glob with patterns like \"**/*.ts\". For content search, use Grep with regex patterns.\n- Before creating a new file, helper, or task, search first. Reuse or extend an existing one if it covers the same concern — duplicate definitions rot faster than a single source of truth.\n- Reference code by file path and line number (e.g. `src/foo.ts:42`) rather than pasting large snippets. Quoted snippets drift out of sync; paths do not.\n\n---\n\n# Output Efficiency\n\nLead with the answer or action, not the reasoning. Skip filler words, preamble, and unnecessary transitions. Do not restate instructions — just execute them.\n\nFocus output on:\n- Decisions that need input\n- High-level status updates at natural milestones\n- Errors or blockers that change the plan\n\nIf you can say it in one sentence, do not use three. Prefer short, direct sentences over long explanations.\n\n- When delegating to subagents, brief them like a smart colleague who just walked into the room — they have no context from this conversation. Explain what, why, and what you have already learned or ruled out.\n\n---\n\n# Git Operations Protocol\n\n- NEVER update the git config.\n- NEVER run destructive git commands (push --force, reset --hard, checkout ., restore ., clean -f, branch -D) unless explicitly instructed.\n- NEVER skip hooks (--no-verify, --no-gpg-sign) unless explicitly instructed.\n- NEVER force push to main/master.\n- Always create NEW commits rather than amending, unless explicitly asked. When a pre-commit hook fails the commit did NOT happen — so --amend would modify the PREVIOUS commit.\n- When staging files, prefer adding specific files by name rather than using \"git add -A\" or \"git add .\" which can accidentally include secrets (.env, credentials) or large binaries.\n- Do NOT commit files that likely contain secrets (.env, credentials.json, etc.).\n\n---\n\n## See Also\n- `library/tdd-quality-convergence.js` - TDD quality convergence example\n- `library/reference/ADVANCED_PATTERNS.md` - Agent/skill patterns, iterative convergence\n- `library/reference/sdk.md` - SDK API reference\n\n[Showing lines 291-1529 of 1529 (50.0KB limit). Full output: /tmp/pi-bash-ad56db0c8e0bfb87.log]"}],"details":{"truncation":{"content":"  vitest, grep, dependency imports, runtime smoke tests)\n- correct: include verification loops, refinement loops, quality gates, and\n  breakpoints where appropriate\n- correct: pair shell verification gates with agent analysis tasks (shell runs\n  the check, agent interprets failures and suggests fixes)\n- correct: for brownfield changes, trace the runtime call path from entry points\n  to final output first, record as `runtimeCallPaths`, and scope modifications\n  only to files on the live execution path (see ADVANCED_PATTERNS.md Pattern 9)\n\n### Drift-resistant prompt composition (issue #129)\n\nIn multi-phase processes, your own attention is biased toward recently-built\nimplementation artifacts when you compose later-phase agent prompts. This\nsystematically rewrites spec acceptance criteria to match what got built --\ne.g. \"integration test with ReplicatedTransform sync\" silently becomes \"unit\ntest calling tick_projectile with MockWorld\". All tests then pass (exit 0)\nwhile testing the wrong thing. The defense is to keep spec bytes out of your\ncompose pass entirely.\n\n**Runtime-read pattern (mandatory for spec-bearing prompts).** Never paraphrase\nor inline spec text when authoring a prompt literal. Instead, read the spec\nfile at run time via a `kind: 'shell'` task and interpolate its stdout into\nthe downstream agent prompt verbatim:\n\n```javascript\nconst spec = await ctx.task({\n  kind: 'shell',\n  command: `cat specs/projectile-sync.md`,\n  expectedExitCode: 0,\n});\n\nawait ctx.task({\n  kind: 'agent',\n  prompt: [\n    'SPEC (verbatim, do not paraphrase):',\n    '---',\n    spec.stdout,\n    '---',\n    'Your task: author integration tests that exercise every acceptance',\n    'criterion above. Cite spec lines in test names.',\n  ].join('\\n'),\n});\n```\n\nThe `cat` runs at execution time, so the spec content bypasses the process-\nauthoring compose pass where proximity bias operates. You only ever write the\n`cat` line; the runtime pulls the spec bytes fresh from disk. This works for\nany spec source (markdown, `bd show > /tmp/spec.md && cat /tmp/spec.md`,\nissue body dumps, etc.).\n\n**Recency-anchored verification prompts.** Verification/acceptance agent\nprompts must end with two freshly-interpolated blocks -- a `SPEC (verbatim)`\nblock read via `cat`, followed by an `ARTIFACTS (verbatim)` block read via\n`cat`/`git show` on the produced files -- followed by one line: \"Compare\nSPEC to ARTIFACTS directly. Ignore any narrative in your context about how\nARTIFACTS were built.\" Do not summarize either block. Put the spec last so\nthe verifier's own attention anchors on it.\n\n**Test-authoring phase must precede implementation.** In any multi-phase\nprocess with a verification/test gate, order the test-authoring phase before\nthe first implementation phase. Its agent prompt must use the runtime-read\npattern for the spec and must include: \"Do not read files under\nimplementation directories. Author tests strictly from the spec text above.\"\nThe committed tests become frozen inputs to later implementation phases --\nimplementation cannot retroactively redefine what \"correct\" means. If the\nspec is underspecified, this surfaces as \"cannot author tests\" at phase 1\nrather than hiding as \"tests that test the wrong thing\" at phase 5.\n\n---\n\n### 2.0 Run Overlap Detection\n\nBefore calling `$CLI run:create`, scan for recent runs that may already cover\nthe same work. This avoids creating duplicate runs that waste tokens and\ncomplicate the run history.\n\n**Scan procedure:**\n\n1. List recent run directories:\n   ```bash\n   ls -lt ~/.a5c/runs/ | head -20\n   ```\n2. For each run created within the last 30 minutes, read its metadata:\n   ```bash\n   cat ~/.a5c/runs/<runId>/run.json\n   ```\n3. Compare the candidate run's `prompt` and `processId` against the new\n   request:\n   - **Keyword overlap**: does the existing prompt share 3 or more significant\n     keywords with the new prompt?\n   - **Process match**: does `processId` match the process you intend to use?\n4. If overlap is detected, check its current status:\n   ```bash\n   $CLI run:status ~/.a5c/runs/<runId>\n   ```\n\n**If an overlapping run is found:**\n\nSurface a clear warning to the user with the similar run's details:\n\n- Run ID: `<runId>`\n- Process: `<processId>`\n- Created: `<createdAt>`\n- Status: `<status>`\n- Prompt excerpt: `<first 120 chars of prompt>`\n\nAsk the user to choose one of:\n1. **Proceed** — create a new run anyway (e.g., intentional retry or variant)\n2. **Skip** — abort run creation; the existing run already covers the request\n3. **Resume** — resume the existing run via `$CLI run:iterate ~/.a5c/runs/<runId>`\n\nDo not proceed with `run:create` until the user has responded.\n\n**No overlap found:** proceed directly to `$CLI run:create` as normal.\n\nIf the current repo is still using legacy repo-local runs, the SDK will also read `<repo>/.a5c/runs` automatically for compatibility.\n\n**Tracking run chains:**\n\nWhen creating a run that intentionally follows or retries a previous run,\ninclude the related run ID in the inputs so the process can reference it:\n\n```json\n{\n  \"relatedRunId\": \"<previousRunId>\",\n  \"relatedRunReason\": \"retry|variant|follow-up\"\n}\n```\n\n---\n\n### 2. Create run and bind session:\n\nIf an existing bare run is reported in the **Existing Run State** section above,\nuse `run:assign-process` (see below) instead of creating a new run.\n\n**For new runs:**\n\n```bash\n$CLI run:create \\\n  --process-id <id> \\\n  --entry <absolute-path>#<export> \\\n  --inputs <file> \\\n  --prompt \"$PROMPT\" \\\n  --harness pi \\\n  --json\n```\n\n**Required flags:**\n- `--process-id <id>` -- unique identifier for the process definition\n- `--entry <absolute-path>#<export>` -- path to the process JS file and its\n  named export (e.g., `./my-process.js#process`). Omit to create a bare run\n  (assign the process later via `run:assign-process`)\n- `--prompt \"$PROMPT\"` -- the user's initial prompt/request text\n- `--harness pi` -- activates Pi Coding Agent session binding. The session ID is\n  auto-resolved from PI_SESSION_ID and AGENT_SESSION_ID.\n\n**Optional flags:**\n- `--inputs <file>` -- path to a JSON file with process inputs\n- `--run-id <id>` -- override auto-generated run ID\n- `--runs-dir <dir>` -- advanced compatibility override for the runs directory (default: `~/.a5c/runs`, or `<repo>/.a5c/runs` when `BABYSITTER_RUNS_SCOPE=repo`)\n- `--non-interactive` -- auto-approve breakpoints without human interaction (yolo mode)\n\nThe session ID auto-resolves from the **PID-scoped session marker** written by\nthe session-start hook (authoritative), with the harness env file and\n`AGENT_SESSION_ID` env var used only as last-resort fallbacks. Orchestrators\ncan verify the binding at any time via `babysitter session:whoami --json`.\n\n**Common mistakes to avoid:**\n- wrong: Calling `session:init` explicitly\n- wrong: Fabricating a session ID when none is available from the environment\n- correct: Using `--harness pi` with `run:create` to create the run AND\n  auto-bind the session, relying on the environment variables set by the\n  extension for honest session binding.\n\n**For resuming existing runs:**\n\n```bash\n$CLI session:resume \\\n  --session-id <id> \\\n  --run-id <runId> --json\n```\n\n**For assigning a process to an existing bare run:**\n\nWhen the session-start hook has already created a bare run (no `--entry`), use\n`run:assign-process` to attach the process definition, then bind the session:\n\n```bash\n# 1. Assign the process to the bare run\n$CLI run:assign-process <runDir> \\\n  --entry <absolute-path>#<export> \\\n  --process-id <id> \\\n  --json\n\n# 2. Bind the session to the run (if not already bound by session-start)\n$CLI session:associate \\\n  --session-id <id> \\\n  --run-id <runId> \\\n  --state-dir <stateDir> \\\n  --json\n```\n\n**Required arguments:**\n- `<runDir>` — path to the existing run directory (positional)\n- `--entry <path>#<export>` — path to the process JS file and its named export\n\n**Optional flags:**\n- `--process-id <id>` — override the process identifier stored in the run (defaults to the existing `processId` from the bare run)\n- `--process-revision <rev>` — pin a specific process revision\n- `--force` — allow re-assigning even if the run already has a process\n- `--dry-run` — validate without writing changes\n- `--json` — emit machine-readable JSON output\n- `--verbose` — log resolved paths and options to stderr\n\nThis command rejects if the run already has a process assigned unless `--force` is\npassed. On success it updates `run.json` and appends a `PROCESS_ASSIGNED` journal\nevent to the run.\n\n**Common mistakes to avoid:**\n- wrong: Always creating a new run when a bare run already exists from session-start\n- correct: Check `.a5c/runs/` for existing bare runs and use `run:assign-process`\n- wrong: Skipping `run:assign-process` and calling `run:iterate` on a bare run (will fail)\n\n---\n\n### 3. Run Iteration\n\n```bash\n$CLI run:iterate <runDir> --json --iteration <n>\n```\n\n**Output:**\n```json\n{\n  \"iteration\": 1,\n  \"status\": \"executed|waiting|completed|failed|none\",\n  \"action\": \"executed-tasks|waiting|none\",\n  \"reason\": \"auto-runnable-tasks|breakpoint-waiting|terminal-state\",\n  \"count\": 3,\n  \"completionProof\": \"only-present-when-completed\",\n  \"metadata\": { \"runId\": \"...\", \"processId\": \"...\" }\n}\n```\n\n**Status values:**\n- `\"executed\"` - Tasks executed, continue looping\n- `\"waiting\"` - Breakpoint/sleep, pause until released\n- `\"completed\"` - Run finished successfully\n- `\"failed\"` - Run failed with error\n- `\"none\"` - No pending effects\n\n**Common mistake to avoid:**\n- wrong: Stopping the session and waiting for a hook callback that will never\n  arrive\n- correct: After posting the result, continuing to the next run:iterate in the\n  same turn until the run completes, since the stop-hook drives the loop\n  in-turn\n\n---\n\n### 4. Get Effects\n\n```bash\n$CLI task:list <runDir> --pending --json\n```\n\n**Output:**\n```json\n{\n  \"tasks\": [\n    {\n      \"effectId\": \"effect-abc123\",\n      \"kind\": \"agent|skill|shell|node|breakpoint\",\n      \"label\": \"auto\",\n      \"status\": \"requested\"\n    }\n  ]\n}\n```\n\n### 5. Perform Effects\n\nRun the effect externally to the SDK (by you, your hook, or another worker).\nAfter execution (by delegation to an agent or skill), post the outcome summary\ninto the run by calling `task:post`, which:\n- Writes the committed result to `tasks/<effectId>/result.json`\n- Appends an `EFFECT_RESOLVED` event to the journal\n- Updates the state cache\n\nIMPORTANT:\n- Delegate using the Task tool if possible.\n- If a pending effect is `shell` or legacy `node`, the orchestrating agent must\n  execute that work intentionally and then post the result via `task:post`.\n  Never assume the SDK or host will auto-run it.\n- If a shell/effect keeps failing because the process logic is wrong, the\n  command is impossible, or the recorded run state is inconsistent, do not just\n  retry forever. Repair the process file itself and/or the relevant journal/task\n  files, then continue the loop from the corrected state.\n- When delegating substantial work to an agent or skill, pass a generous\n  timeout budget and instruct the worker to execute the task fully and return\n  the actual result, not a plan.\n- Make sure the change was actually performed and not described or implied.\n  (for example, if code files were mentioned as created in the summary, make\n  sure they were actually created.)\n- Include in the instructions to the agent or skill to perform the task in\n  full and return only the summary result in the requested schema.\n\n---\n\n#### 5.1 Breakpoint Handling\n\n##### 5.1.1 Interactive mode\n\nAsk the user explicitly for approval. Include explicit approve/reject options\nso the user's intent is unambiguous.\n\n**CRITICAL: Response validation rules:**\n- If the response is empty, no selection, or dismissed: treat as **NOT\n  approved**. Re-ask the question or keep the breakpoint pending. Do NOT\n  proceed.\n- NEVER fabricate, synthesize, or infer approval text. Only pass through the\n  user's actual selected response verbatim.\n- NEVER assume approval from ambiguous, empty, or missing responses. When in\n  doubt, the answer is \"not approved\".\n\n**CRITICAL: Breakpoint rejection posting rules:**\n- Breakpoint rejection MUST be posted with `--status ok` and a value of\n  `{\"approved\": false, \"response\": \"...\"}`. NEVER use `--status error` for a\n  user rejection -- that signals a task execution failure, not user feedback.\n  If bad posted data later causes `PROCESS_RUNTIME_ERROR`, inspect it with\n  `run:status`/`run:events` and recover with `run:recover-process-error`;\n  reserve manual journal repair for malformed or partially written journal\n  entries that targeted recovery cannot represent.\n- Only use `--status error` if the AskUserQuestion itself throws an error.\n\n**Breakpoint posting examples:**\n\n```bash\n# User approved the breakpoint\necho '{\"approved\": true, \"response\": \"Looks good, proceed\"}' > tasks/<effectId>/output.json\n$CLI task:post <runId> <effectId> --status ok --value tasks/<effectId>/output.json\n\n# User rejected the breakpoint (ALWAYS use --status ok, not --status error)\necho '{\"approved\": false, \"response\": \"Stop here\"}' > tasks/<effectId>/output.json\n$CLI task:post <runId> <effectId> --status ok --value tasks/<effectId>/output.json\n```\n\n**Breakpoint value payload schema:**\n\n| Field | Type | Required | Description |\n|-------|------|----------|-------------|\n| `approved` | `boolean` | Yes | Whether the user approved the breakpoint |\n| `response` | `string` | No | The user's response text or selected option |\n| `feedback` | `string` | No | Additional feedback from the user |\n\n##### 5.1.2 Auto-Approval Mode\n\nBreakpoint tasks may include a pre-computed `autoApproval` field in task.json:\n\n```json\n{\n  \"autoApproval\": {\n    \"recommended\": true,\n    \"reason\": \"Matched auto-approve rule: rule-a1b2c3d4\",\n    \"matchedRule\": \"rule-a1b2c3d4\",\n    \"consecutiveApprovals\": 5\n  }\n}\n```\n\nWhen `autoApproval.recommended` is `true`, the harness MAY auto-approve the\nbreakpoint without prompting the user. The `reason` field explains why.\n\nAlternatively, use the CLI to check at runtime:\n\n```bash\n$CLI breakpoint:should-auto-approve <breakpointId> --tags <csv> --expert <expert> --json\n```\n\n**Important:** `never-auto-approve` rules and profile `alwaysBreakOn` tags\nalways override auto-approval. If `autoApproval.recommended` is `false`, always\nprompt the user.\n\n**Breakpoint auto-approval options in `ctx.breakpoint()`:**\n\n| Field | Type | Description |\n|-------|------|-------------|\n| `breakpointId` | `string` | Canonical identity (dotted namespace, kebab-case). Auto-derived from title if omitted. |\n| `autoApproveAfterN` | `number` | Auto-approve after N consecutive approvals. `-1` = disabled (default). |\n| `presentAlwaysApprove` | `boolean` | Show \"Always Approve\" option to user. Default: `true`. |\n\n##### 5.1.3 Non-interactive mode\n\nWhen the run was created with `--non-interactive`, breakpoints are auto-approved\nat the runtime level and never appear as pending effects. No orchestrator action\nis needed for breakpoints in this mode.\n\nIf running non-interactively without the `--non-interactive` flag (e.g. no\nquestion tool available), choose the best option from context and post the\nresult. Rejections still use `--status ok` with `{\"approved\": false}`.\n\n---\n\n### 6. Results Posting\n\n**IMPORTANT**: Do NOT write `result.json` directly. The SDK owns that file.\n\n**Workflow:**\n\n1. Write the result **value** to a separate file (e.g., `output.json` or\n   `value.json`):\n```json\n{\n  \"score\": 85,\n  \"details\": { ... }\n}\n```\n\n2. Post the result, either by passing the value file or inline JSON:\n```bash\n$CLI task:post <runDir> <effectId> \\\n  --status ok \\\n  --value tasks/<effectId>/output.json \\\n  --json\n\n$CLI task:post <runDir> <effectId> \\\n  --status ok \\\n  --value-inline '{\"score\": 85}' \\\n  --json\n```\n\nThe `task:post` command will:\n- Read the value from your file or inline JSON\n- Write the complete `result.json` (including schema, metadata, and your value)\n- Append an `EFFECT_RESOLVED` event to the journal\n- Update the state cache\n\n**Available flags:**\n- `--status <ok|error>` (required)\n- `--value <file>` - Result value (for status=ok)\n- `--value-inline <json>` - Inline result value JSON (for status=ok, cannot be combined with `--value`)\n- `--error <file>` - Error payload (for status=error)\n- `--stdout-file <file>` - Capture stdout\n- `--stderr-file <file>` - Capture stderr\n- `--started-at <iso8601>` - Task start time\n- `--finished-at <iso8601>` - Task end time\n- `--metadata <file>` - Additional metadata JSON\n\n**Common mistake to avoid:**\n```bash\n# wrong: Writing result.json directly\necho '{\"result\": {...}}' > tasks/<effectId>/result.json\n$CLI task:post <runId> <effectId> --status ok\n\n# correct: Write value to a separate file or pass inline JSON, then let SDK create result.json\necho '{\"score\": 85}' > tasks/<effectId>/output.json\n$CLI task:post <runId> <effectId> --status ok --value tasks/<effectId>/output.json\n\n$CLI task:post <runId> <effectId> --status ok --value-inline '{\"score\": 85}'\n```\n\n**Breakpoint-specific posting:**\n\n```bash\n# Breakpoint approval\necho '{\"approved\": true, \"response\": \"User approved\"}' > tasks/<effectId>/output.json\n$CLI task:post <runId> <effectId> --status ok --value tasks/<effectId>/output.json\n\n# Breakpoint rejection (ALWAYS use --status ok, not --status error)\necho '{\"approved\": false, \"response\": \"User rejected\"}' > tasks/<effectId>/output.json\n$CLI task:post <runId> <effectId> --status ok --value tasks/<effectId>/output.json\n```\n\n---\n\n### 7. Drive the orchestration loop in-turn\n\nHooks are not available in this orchestration environment. You are responsible\nfor driving the loop yourself: after `run:create`, keep iterating in the same\nturn -- call `run:iterate`, inspect pending tasks, perform effects, call\n`task:post`, and repeat until the run reaches a terminal state or you need\nexplicit user input for a breakpoint.\n\nThis is not considered bypassing the orchestration model as long as each\niteration and effect is handled through the CLI and run journal.\n\nIf the loop is stuck because the process logic is wrong or because the same\nshell/effect keeps failing with no path to success, you must repair the run\ninstead of blindly retrying. Read the process file and run artifacts, then\nmodify the process file itself and/or adjust the relevant journal/task files so\nthat the next iteration can advance honestly.\n\nCommon mistakes to avoid:\n- wrong: Stopping the session and waiting for a hook callback that will never\n  arrive.\n- correct: Continuing the orchestration loop in-turn: iterate, perform effects,\n  post results, iterate again until the run completes.\n- wrong: Re-running the same failing shell task forever after it is clear the\n  process logic or recorded effect state is broken.\n- correct: Repairing the process definition and, when necessary, the run's\n  journal/task artifacts, then continuing iteration from the repaired state.\n- wrong: Skipping the CLI and executing tasks directly without the journal.\n- correct: Using `run:iterate` and `task:post` for every step, even when driving\n  the loop yourself.\n\n---\n\n### 8. Completion Proof\n\nWhen the run is completed, the CLI will emit a `completionProof` value in the\noutput of `run:iterate` and `run:status`. You must return that exact value\nwrapped in a `<promise>...</promise>` tag to signal completion to the stop-hook\nloop.\n\n### Progressing Between The Phases\n\nAfter you run `run:create`, progress through the phases above by continuing\nto iterate in the same session. Drive the loop yourself: call `run:iterate`,\nperform effects, post results, and repeat until the run completes or you need\nexplicit user input for a breakpoint.\n\n---\n\n## Task Kinds\n\n**CRITICAL RULE: NEVER use `node` kind effects in generated processes.** The\n`node` kind executes inline Node.js scripts which bypasses the agent\norchestration model entirely. Every task that would be a `node` effect MUST be\nconverted to an `agent` or `skill` effect instead. The only acceptable\nnon-agent kinds are `shell` (for running existing test suites, git commands, or\nbuild tools), `breakpoint` (human approval), and `sleep` (time gates).\n\n| Kind | Description | Executor | When to use |\n|------|-------------|----------|-------------|\n| ~~`node`~~ | ~~Node.js script~~ | ~~Local node process~~ | **NEVER -- forbidden. Convert to `agent` or `skill`.** |\n| `shell` | Shell command | Local shell process | **Deterministic verification** (compilation, linting, tests, grep, dependency checks, smoke tests) AND running existing CLI tools, git, builds. The orchestrating agent must execute it intentionally and post the result |\n| `agent` | LLM agent | Agent runtime | **Default for reasoning tasks** -- planning, implementation, analysis, scoring, debugging, code writing, research. Also for **subjective verification** (code review, architecture assessment, UX evaluation) |\n| `skill` |  | Skill system | When a matching installed skill exists (preferred over agent when available) |\n| `breakpoint` | Human approval | UI/CLI | Decision gates requiring user input. May include pre-computed `autoApproval` field with `{ recommended, reason, matchedRule?, consecutiveApprovals? }` for harness-mediated auto-approval. |\n| `sleep` | Time gate | Scheduler | Time-based pauses |\n\n### Shell vs Agent for Verification Tasks\n\n**CRITICAL:** Verification tasks that produce deterministic, binary pass/fail\nresults MUST use `kind: 'shell'` with `expectedExitCode`, NOT `kind: 'agent'`.\nAgent-interpreted verification creates soft gates where an LLM subjectively\nassesses pass/fail -- this is unreliable for objectively testable checks.\n\n| Verification type | Correct kind | Why |\n|-------------------|-------------|-----|\n| Compilation (tsc, gcc) | `shell` | Exit code is deterministic pass/fail |\n| Linting (eslint, ruff) | `shell` | Exit code is deterministic pass/fail |\n| Test suites (vitest, jest) | `shell` | Exit code is deterministic pass/fail |\n| Grep/pattern checks | `shell` | Pattern exists or it doesn't |\n| Dependency availability | `shell` | `node -e \"require('pkg')\"` succeeds or fails |\n| Runtime smoke tests | `shell` | Start, curl, check status code, stop |\n| Code review / design quality | `agent` | Requires subjective judgment |\n| Architecture assessment | `agent` | Requires reasoning about tradeoffs |\n| UX evaluation | `agent` | Subjective quality assessment |\n\n**Anti-pattern (wrong):**\n```javascript\n// BAD: agent-interpreted verification -- the agent can say \"looks good\" without running anything\nconst verifyTask = defineTask('verify-compilation', (args, taskCtx) => ({\n  kind: 'agent',\n  title: 'Verify TypeScript compiles',\n  agent: { prompt: { instructions: ['Run tsc and check it passes'] } }\n}));\n```\n\n**Correct pattern:**\n```javascript\n// GOOD: deterministic shell gate -- exit code cannot be negotiated\nconst verifyTask = defineTask('verify-compilation', (args, taskCtx) => ({\n  kind: 'shell',\n  title: 'TypeScript compilation check',\n  shell: { command: 'npx tsc --noEmit', expectedExitCode: 0, timeout: 120000 }\n}));\n```\n\nUse `library/processes/shared/deterministic-quality-gate.js` for composable\npreset gates (grep checks, compilation, test suites, runtime smoke tests).\n\n### Effect Execution Hints\n\nTasks can include an `execution` field to express preferences about how the effect should be executed:\n\n| Field | Description |\n|-------|-------------|\n| `execution.model` | Preferred model for the task (e.g., `'claude-opus-4-6'`). Used for subagent selection. |\n\n| `execution.harness` | Preferred internal harness CLI for the task. This is routing metadata for harnesses that implement it, not a universal plugin contract. |\n| `execution.permissions` | Internal harness permission hints. Plugins may ignore them; do not treat them as a cross-harness security boundary. |\n\nUse `execution.permissions` only when you are targeting an internal harness flow that actually interprets the hints. If a task must rely on a security boundary across plugin targets, encode that boundary in the execution path itself instead of assuming plugins will enforce these hints.\n\nExample:\n\n```javascript\ndefineTask('my-task', (args, taskCtx) => ({\n  kind: 'agent',\n  title: 'My task',\n  execution: {\n    model: 'claude-opus-4-6',\n\n    harness: 'pi',\n    permissions: ['fs:read', 'fs:write'],\n\n  },\n  agent: {\n    name: 'general-purpose',\n    prompt: {\n      role: 'Task executor',\n      task: 'Perform the requested work',\n      context: { ...args },\n      instructions: ['Execute the task'],\n      outputFormat: 'JSON'\n    },\n    outputSchema: { type: 'object', required: ['result'] }\n  },\n  io: {\n    inputJsonPath: `tasks/${taskCtx.effectId}/inputs.json`,\n    outputJsonPath: `tasks/${taskCtx.effectId}/result.json`\n  }\n}));\n```\n\n---\n\n### Agent Task Example\n\nImportant: Check which subagents and agents are actually available before\nassigning the name. If none, pass the general-purpose subagent. Check the\nsubagents and agents in the plugin (in nested folders) and to find relevant\nsubagents and agents to use as a reference. Specifically check subagents and\nagents in folders next to the reference process file.\n\nWhen executing the agent task, use the Task tool. Never use the Babysitter skill\nor agent to execute the task.\nWhen the Task tool or delegated worker accepts a timeout, use a generous budget\nfor real coding or verification work instead of a short default.\n\n```javascript\nexport const agentTask = defineTask('agent-scorer', (args, taskCtx) => ({\n  kind: 'agent',\n  title: 'Agent scoring',\n  agent: {\n    name: 'quality-scorer',\n    prompt: {\n      role: 'QA engineer',\n      task: 'Score results 0-100',\n      context: { ...args },\n      instructions: ['Review', 'Score', 'Recommend'],\n      outputFormat: 'JSON'\n    },\n    outputSchema: {\n      type: 'object',\n      required: ['score']\n    }\n  },\n\n  io: {\n    inputJsonPath: `tasks/${taskCtx.effectId}/inputs.json`,\n    outputJsonPath: `tasks/${taskCtx.effectId}/output.json`\n  }\n}));\n```\n\n### Shell Verification Task Example\n\nUse shell tasks for all deterministic verification gates. Shell tasks produce\nbinary pass/fail results via exit codes that cannot be bypassed by agent\nreasoning.\n\n```javascript\n// Grep-based integration check\nexport const grepCheckTask = defineTask('grep-integration-check', (args, taskCtx) => ({\n  kind: 'shell',\n  title: 'Verify integration points exist',\n  shell: {\n    command: `cd ${args.projectDir || '.'} && grep -q \"${args.pattern}\" ${args.file}`,\n    expectedExitCode: 0,\n    timeout: 10000\n  },\n  io: {\n    inputJsonPath: `tasks/${taskCtx.effectId}/inputs.json`,\n    outputJsonPath: `tasks/${taskCtx.effectId}/output.json`\n  }\n}));\n\n// Multi-check verification gate\nexport const verificationGateTask = defineTask('verification-gate', (args, taskCtx) => ({\n  kind: 'shell',\n  title: 'Deterministic verification gate',\n  shell: {\n    command: [\n      `cd ${args.projectDir || '.'}`,\n      'npx tsc --noEmit',\n      'npx eslint src/ --max-warnings=0',\n      'npx vitest run --reporter=verbose'\n    ].join(' && '),\n    expectedExitCode: 0,\n    timeout: 300000\n  },\n  io: {\n    inputJsonPath: `tasks/${taskCtx.effectId}/inputs.json`,\n    outputJsonPath: `tasks/${taskCtx.effectId}/output.json`\n  }\n}));\n```\n\nWhen downstream process code reads fields from a shell task's JSON result,\ndeclare a top-level `outputSchema`. Successful posts that do not match are\nrejected before `result.json` or `EFFECT_RESOLVED` is written.\n\n```javascript\nexport const liveVerifyTask = defineTask('live-verify', (args, taskCtx) => ({\n  kind: 'shell',\n  title: 'Live verification',\n  shell: {\n    command: `cd ${args.projectDir || '.'} && node scripts/live-verify.js`,\n    expectedExitCode: 0,\n    timeout: 60000\n  },\n  outputSchema: {\n    type: 'object',\n    required: ['verified', 'checks'],\n    properties: {\n      verified: { type: 'boolean' },\n      checks: { type: 'array' }\n    }\n  },\n  io: {\n    inputJsonPath: `tasks/${taskCtx.effectId}/inputs.json`,\n    outputJsonPath: `tasks/${taskCtx.effectId}/output.json`\n  }\n}));\n```\n\nUse `library/processes/shared/deterministic-quality-gate.js` for composable\npreset gates (createGrepCheck, createCompilationGate, createTestSuiteGate,\ncreateRuntimeSmokeTest).\n\n### Runtime Spec Read + Agent Prompt Example (drift defense, issue #129)\n\nPair a `kind: 'shell'` `cat` task with a `kind: 'agent'` task so the spec\nbytes are pulled from disk at execution time and interpolated verbatim into\nthe agent prompt. This keeps spec text out of the process-authoring compose\npass, where token proximity bias would otherwise rewrite acceptance criteria\nto match recently-built implementation artifacts.\n\n```javascript\n// Phase 1: read the spec at execution time (bytes bypass your compose pass).\nexport const readSpecTask = defineTask('read-spec', (args, taskCtx) => ({\n  kind: 'shell',\n  title: `Read spec ${args.specPath}`,\n  shell: {\n    command: `cat ${args.specPath}`,\n    expectedExitCode: 0,\n    timeout: 5000,\n  },\n  io: {\n    inputJsonPath: `tasks/${taskCtx.effectId}/inputs.json`,\n    outputJsonPath: `tasks/${taskCtx.effectId}/output.json`,\n  },\n}));\n\n// Phase 2: test-authoring agent -- prompt interpolates spec.stdout verbatim,\n// and the prompt explicitly forbids reading implementation files. Author\n// tests strictly from the spec. Place this phase BEFORE any implementation\n// phase so tests are frozen inputs, not post-hoc rationalizations.\nexport const authorTestsFromSpecTask = defineTask(\n  'author-tests-from-spec',\n  (args, taskCtx) => ({\n    kind: 'agent',\n    title: 'Author tests from spec (no implementation access)',\n    agent: {\n      name: 'general-purpose',\n      prompt: {\n        role: 'Test author',\n        task: 'Author tests that exercise every acceptance criterion below.',\n        context: {\n          specVerbatim: args.specStdout,  // from readSpecTask.stdout\n          testFilePath: args.testFilePath,\n        },\n        instructions: [\n          'Treat the SPEC block below as the sole source of truth.',\n          'Do not read files under src/ or implementation directories.',\n          'Cite spec line numbers in each test name.',\n          'If a criterion is impossible to test as written, raise a',\n          '  breakpoint -- do not rewrite the criterion.',\n          '',\n          'SPEC (verbatim, do not paraphrase):',\n          '---',\n          args.specStdout,\n          '---',\n        ],\n      },\n    },\n    io: {\n      inputJsonPath: `tasks/${taskCtx.effectId}/inputs.json`,\n      outputJsonPath: `tasks/${taskCtx.effectId}/output.json`,\n    },\n  }),\n);\n\n// Phase N: verification agent -- re-read spec AND artifacts fresh via cat/\n// git show, interpolate both verbatim, and end with a direct compare\n// instruction. Recency anchors the verifier's attention on source-of-truth\n// rather than accumulated narrative drift.\nexport const verifyAgainstSpecTask = defineTask(\n  'verify-against-spec',\n  (args, taskCtx) => ({\n    kind: 'agent',\n    title: 'Spec-vs-artifact verification (recency-anchored)',\n    agent: {\n      name: 'general-purpose',\n      prompt: {\n        role: 'Acceptance reviewer',\n        task: 'Compare SPEC to ARTIFACTS directly. Report per-criterion pass/fail.',\n        instructions: [\n          'Ignore any narrative in your context about how ARTIFACTS were built.',\n          'Do not summarize either block -- compare line by line.',\n          '',\n          'SPEC (verbatim):',\n          '---',\n          args.specStdout,\n          '---',\n          '',\n          'ARTIFACTS (verbatim):',\n          '---',\n          args.artifactsStdout,\n          '---',\n        ],\n      },\n    },\n    io: {\n      inputJsonPath: `tasks/${taskCtx.effectId}/inputs.json`,\n      outputJsonPath: `tasks/${taskCtx.effectId}/output.json`,\n    },\n  }),\n);\n```\n\nThe spec source can be any file -- markdown specs under `specs/`, issue body\ndumps written to `/tmp/`, `bd show <id> > /tmp/spec.md`, etc. The pattern is\northogonal to the spec-tracking tool; what matters is that the bytes are read\nat execution time, not authored into the process file as a string literal.\n\n### Skill Task Example\n\nImportant: Check which skills are actually available before assigning the skill\nname. Check the skills in the plugin (in nested folders) and to find relevant\nskills to use as a reference. Skills are preferred over subagents for executing\ntasks.\nWhen delegating the skill execution, use a generous timeout budget and require\nthe skill to execute the work and return the real result.\n\n```javascript\nexport const skillTask = defineTask('analyzer-skill', (args, taskCtx) => ({\n  kind: 'skill',\n  title: 'Analyze codebase',\n\n  skill: {\n    name: 'codebase-analyzer',\n    context: {\n      scope: args.scope,\n      depth: args.depth,\n      analysisType: args.type,\n      criteria: ['Code consistency', 'Naming conventions', 'Error handling'],\n      instructions: [\n        'Scan specified paths for code patterns',\n        'Analyze consistency across the codebase',\n        'Check naming conventions',\n        'Review error handling patterns',\n        'Generate structured analysis report'\n      ]\n    }\n  },\n\n  io: {\n    inputJsonPath: `tasks/${taskCtx.effectId}/inputs.json`,\n    outputJsonPath: `tasks/${taskCtx.effectId}/output.json`\n  }\n}));\n```\n\n---\n\n## Quick Commands Reference\n\n**Create run (with session binding):**\n```bash\n$CLI run:create --process-id <id> --entry <path>#<export> --inputs <file> \\\n  --prompt \"$PROMPT\" --harness pi [--non-interactive] --json\n```\n\n`--harness` binds the run to the current session via the **PID-scoped session\nmarker** (authoritative) written by the session-start hook. The harness env\nfile and `AGENT_SESSION_ID` env var are only consulted as fallbacks, so\nruns stay bound to the correct session even when env vars are stale or\ninherited across shells. Verify with `babysitter session:whoami --json`.\n\n**Check status:**\n```bash\n$CLI run:status <runId> --json\n```\n\nWhen the run completes, `run:iterate` and `run:status` emit `completionProof`.\nUse that exact value in a `<promise>...</promise>` tag to end the loop.\n\n**View events:**\n```bash\n$CLI run:events <runId> --limit 20 --reverse\n```\n\n**List tasks:**\n```bash\n$CLI task:list <runId> --pending --json\n```\n\n**Post task result:**\n```bash\n$CLI task:post <runId> <effectId> --status <ok|error> --json\n```\n\n**Assign process to bare run:**\n```bash\n$CLI run:assign-process <runDir> --entry <path>#<export> [--process-id <id>] [--json]\n```\n\n**Iterate:**\n```bash\n$CLI run:iterate <runId> --json --iteration <n>\n```\n\n---\n\n## Recovery from failure\n\nIf at any point the run fails due to SDK issues or corrupted state or journal,\nanalyze the error and the journal events. Recover the state and journal to the\nlast known good state, adapt, and try to continue the run.\n\nIf `run:events` or `run:status --json` shows `PROCESS_RUNTIME_ERROR`, prefer the\ntargeted recovery command before manual journal edits:\n\n```bash\n$CLI run:recover-process-error <runId> --dry-run --json\n$CLI run:recover-process-error <runId> --patch-effect '<effectId>:checks=[]' --json\n```\n\nPatch the offending task result only when the fix is clear. Running recovery\nwithout a patch is allowed, but the next `run:iterate` should honestly rethrow if\nthe bad result remains.\n\nWhen recovery requires it, repair the actual process/run artifacts instead of\nonly describing the problem. If the process authored a bad loop, impossible\nshell command, or permanently failing effect pattern, edit the process file\nitself. If the run metadata is what is blocking replay, repair the journal\nentries and/or task files/results so the next `run:iterate` can proceed from a\ncoherent state.\n\n---\n\n## Process Creation Guidelines and methodologies\n\n- When building UX and full stack applications, integrate/link the main pages\n  of the frontend with functionality created for every phase of the development\n  process (where relevant), so that there is a way to test the functionality as\n  you go.\n\n- Unless otherwise specified, prefer quality gated iterative development loops\n  in the process.\n\n- You can change the process after the run is created or during the run (and\n  adapt the process accordingly and journal accordingly) in case you discover new\n  information or requirements.\n\n- The process should be a comprehensive and complete solution to the user\n  request.\n\n- The process should usually be a composition (in code) of multiple processes\n  from the process library (not just one), for multiple phases and parts of the\n  process, each utilizing a different process from the library as a reference.\n\n- Include verification and refinement steps (and loops) for planning phases and\n  integration phases, debugging phases, refactoring phases, etc.\n\n- Create the process with (and around) the available skills and subagents.\n  (check which are available first and use discover to find them)\n\n- Prefer incremental work that allows testing and experimentation with the new\n  functionality as you go.\n\n### Process File Discovery Markers\n\nWhen creating process files, include `@skill` and `@agent` markers in the JSDoc\nheader listing the skills and agents relevant to this process. The SDK reads\nthese markers to provide targeted discovery results instead of scanning all\navailable skills.\n\n**Format** (one per line, path relative to the active process-library root):\n```javascript\n/**\n * @process specializations/web-development/react-app-development\n * @description React app development with TDD\n * @skill frontend-design specializations/web-development/skills/frontend-design/SKILL.md\n * @agent frontend-architect specializations/web-development/agents/frontend-architect/AGENT.md\n */\n```\n\n**Steps during process creation:**\n1. Use `babysitter skill:discover --process-path <path> --json` to find\n   relevant skills/agents in the specialization directory\n2. Select the ones actually needed by the process tasks\n3. Add them as `@skill`/`@agent` markers in the JSDoc header\n4. Use full relative path from the active process-library root returned in\n   `binding.dir` by `babysitter process-library:active --json`\n\n- Unless otherwise specified, prefer processes that close the widest loop in the\n  quality gates (for example e2e tests with a full browser or emulator/vm if it\n  is a mobile or desktop app) AND gates that make sure the work is accurate\n  against the user request (all the specs are covered and no extra stuff was\n  added unless permitted by the intent of the user).\n\n- Scan the methodologies and processes in the active process library and the SDK\n  package to find relevant processes and methodologies to use as a reference.\n  This search is mandatory before writing the process.\n\n- If you encounter a generic reusable part of a process that can be later reused\n  and composed, build it in a modular way and organize it in the `.a5c/processes`\n  directory.\n\nPrefer processes that have the following characteristics unless otherwise\nspecified:\n  - In case of a new project, plan the architecture, stack, parts, milestones\n  - In case of an existing project, analyze the architecture, stack, relevant\n    parts, milestones, and plan the changes\n  - In case of modifying existing code (brownfield), trace the runtime call path\n    from user-facing entry points through to final output before planning changes;\n    record traced paths as `runtimeCallPaths` in the planning output; only modify\n    files that are actually on the live execution path (see ADVANCED_PATTERNS.md\n    Pattern 9 for the full pattern)\n  - Integrate/link the main pages (or entry points) with functionality created\n    for every phase of the development process\n  - Quality gated iterative and convergent development/refinement loops\n  - Test driven -- where quality gates use `kind: 'shell'` tasks with\n    `expectedExitCode` for deterministic verification (compilation, linting,\n    test suites, grep checks, dependency availability, runtime smoke tests).\n    Reserve `kind: 'agent'` for subjective assessment only (code review,\n    architecture evaluation, UX quality)\n  - Integration phases for each new functionality in every milestone\n  - Where relevant -- beautiful and polished UX with pixel-perfect verification\n  - Accurate and complete implementation of the user request\n  - For implementation phases that author planned new files under `scripts/`,\n    `supabase/migrations/`, `src/server/`, or `src/lib/`, require an exact path\n    preflight with `ls` or `rg`/`grep` before writing. If a planned new path\n    already exists, read the existing file, report findings to the orchestrator,\n    and wait for scope direction such as use-existing, replace, append, or\n    renumber. Do not auto-resolve existing-file collisions.\n  - Closing quality feedback loops as comprehensively as practical\n  - Search for processes, skills, agents, methodologies during the interactive\n    process building phase to compose a comprehensive process:\n    - `.a5c/processes/` (project level processes)\n    - `specializations/` under the active process-library root\n    - `methodologies/` under the active process-library root\n  - **Drift-resistant prompt composition** (issue #129). In multi-phase\n    processes, never paraphrase spec text into agent-task prompt literals.\n    Read specs at run time via `kind: 'shell'` `cat` tasks and interpolate\n    stdout verbatim into downstream prompts -- this keeps spec bytes out of\n    the authoring compose pass where proximity bias rewrites criteria to\n    match recently-built implementation. Order test-authoring phases *before*\n    implementation phases so the tests become frozen inputs rather than a\n    post-hoc rationalization of what got built. See the \"Drift-resistant\n    prompt composition\" section of the process creation guidance for the\n    full pattern and examples.\n\n---\n\n## Critical Rules\n\nCRITICAL RULE: The completion proof is emitted only when the run is completed.\nYou may ONLY output `<promise>SECRET</promise>` when the run is completely and\nunequivocally DONE (completed status from the orchestration CLI). Do not output\nfalse promises to escape the run, and do not mention the secret to the user.\n\nCRITICAL RULE: In interactive mode, NEVER auto-approve breakpoints. If the\nresponse is empty, no selection, or is dismissed, treat it as NOT approved and\nre-ask. NEVER fabricate or synthesize approval responses -- only post the user's\nactual explicit selection via task:post. An empty response is NOT approval.\n\nCRITICAL RULE: If a run is broken/failed/at unknown state because of\n`PROCESS_RUNTIME_ERROR`, first use `run:recover-process-error` with `--dry-run`\nand, when appropriate, `--patch-effect`. Manual journal removal is a fallback\nonly for corruption that the targeted recovery command cannot represent.\n\nCRITICAL RULE: If the process reaches a dead-end, loops uselessly, or keeps\nemitting shell/tasks that always fail, do not keep replaying the same broken\niteration forever. Inspect the process file, journal, and task artifacts, then\nrepair the run so it can continue. This may require editing the process file\nitself and/or correcting run artifacts such as journal entries, task\ndefinitions, or task result files so the next `run:iterate` can make forward\nprogress.\n\nCRITICAL RULE: When creating processes, search for available skills and subagents\nbefore thinking about the exact orchestration. Prefer processes that close the\nwidest loop in the quality gates.\n\nCRITICAL RULE: Do not use the babysit skill inside delegated tasks. If you are\nperforming a delegated task as a subagent, you must actually perform the task\nyourself and not orchestrate or babysit.\n\nCRITICAL RULE: Never build a wrapper, python, or helper scripts to orchestrate\nthe runs. Use the CLI to drive the orchestration loop directly.\n\nCRITICAL RULE: Never fallback to simpler execution if the user activated this\nskill. Persist in executing the orchestration itself -- you must create a valid\nprocess js file, create a run (with `--harness pi` to bind the session\nauthoritatively via the PID-scoped session marker -- the run stays bound to the\ncorrect session even when shells inherit stale `AGENT_SESSION_ID` env vars\nfrom ancestor processes), then iterate the run until it is completed.\n\nCRITICAL RULE: Hooks are NOT available in this environment. You MUST drive the\norchestration loop yourself in-turn: after run:create, keep calling run:iterate,\nperforming effects, and posting results in the same session until the run reaches\na terminal state or you need explicit user input for a breakpoint. Do NOT stop\nand wait for a hook callback -- it will never arrive.\n\nCRITICAL RULE: NEVER use `kind: 'node'` in generated process files. All tasks\nMUST use `kind: 'agent'` or `kind: 'skill'`. The only non-agent kinds allowed\nare `shell` (for existing CLI tools/tests/git), `breakpoint`, and `sleep`.\n\nCRITICAL RULE: NEVER bypass, avoid, or skip the babysitter orchestration model\nwhen the user explicitly requested this skill. Do not execute the tasks yourself,\ndo not create helper scripts. Use the CLI to drive the orchestration loop.\nNot for simple tasks, and even if things get complicated.\nPersist in executing the orchestration itself.\n\nNOTE: CI pipelines and legacy workflows that deliberately export\n`AGENT_SESSION_ID` to bind a run across a pre-launched shell can opt into\nthe old env-var-first behavior by setting `AGENT_TRUST_ENV_SESSION=1`. This\nis an escape hatch only -- interactive sessions should rely on the PID-scoped\nsession marker written by the session-start hook.\n\n---\n\n# Priority Ladder\n\nWhen rules conflict, apply them in this order — higher beats lower:\n\n1. **User's explicit instructions** in the current conversation.\n2. **Project instructions** (CLAUDE.md, AGENTS.md, GEMINI.md, and other\n   checked-in guidance files).\n3. **Skill and process definitions** that the current run is executing.\n4. **Default system guidance** (these prompt parts).\n\nIf a lower-priority rule would override a higher-priority one, follow\nthe higher-priority one. Do not silently drop the lower rule — note\nthe override briefly if it would surprise a reader.\n\n---\n\n# Coding Philosophy\n\n- Do not add features, refactor code, or make \"improvements\" beyond what was asked. A bug fix does not need surrounding code cleaned up. A simple feature does not need extra configurability.\n- Do not add docstrings, comments, or type annotations to code you did not change. Only add comments where the logic is not self-evident.\n- Do not add error handling, fallbacks, or validation for scenarios that cannot happen. Trust internal code and framework guarantees. Only validate at system boundaries (user input, external APIs).\n- Do not create helpers, utilities, or abstractions for one-time operations. Do not design for hypothetical future requirements. Three similar lines of code is better than a premature abstraction.\n- Avoid backwards-compatibility hacks like renaming unused _vars, re-exporting types, adding removed comments for removed code. If something is unused, delete it completely.\n- Prefer editing existing files over creating new ones. This prevents file bloat and builds on existing work.\n- Before authoring planned new files under `scripts/`, `supabase/migrations/`, `src/server/`, or `src/lib/`, check each exact path with `ls` or `rg`/`grep`. If a planned new path already exists, read the existing file, report findings to the orchestrator, and wait for scope direction such as use-existing, replace, append, or renumber. Do not auto-resolve existing-file collisions.\n- Do not add feature flags or backwards-compatibility shims when you can just change the code.\n- Address root causes, not symptoms. If a fix only patches a surface effect, trace the underlying cause and fix there instead. A bug that resurfaces elsewhere was not fixed.\n- When a bug pattern is likely to recur, add a preventative guardrail: a test that would have caught it, a lint rule, or a hook. Do not add guardrails for scenarios that cannot recur.\n- When code changes deviate from existing documentation, update the docs in the same change. Do not leave docs referring to the old behavior.\n\n---\n\n# Root Cause & Guardrail\n\n- When diagnosing a failure, keep asking *why* until you reach a cause\n  a change can actually fix. A fix that only makes the symptom go away\n  leaves the cause live elsewhere.\n- Prefer a small change at the root over a large change at the surface.\n  If the surface-level fix is faster, note what the real cause is so it\n  can be revisited.\n- When the same bug category has already appeared more than once, add a\n  guardrail: a test that reproduces it, a lint/type rule that blocks\n  it, or a pre-commit/CI check. A guardrail that would not catch the\n  next occurrence is not worth adding.\n- Do not disable tests, checks, or safety rails to make a run pass.\n  Either fix the underlying issue, or stop and surface it.\n\n---\n\n# Tool Preferences\n\n- Use dedicated tools instead of shell commands when available: Read (not cat/head/tail), Edit (not sed/awk), Write (not echo/heredoc), Glob (not find/ls), Grep (not grep/rg).\n- You MUST read a file before editing it. Never edit a file you have not read in this session.\n- Reserve shell/Bash for system commands and terminal operations that require actual shell execution.\n- For file search, use Glob with patterns like \"**/*.ts\". For content search, use Grep with regex patterns.\n- Before creating a new file, helper, or task, search first. Reuse or extend an existing one if it covers the same concern — duplicate definitions rot faster than a single source of truth.\n- Reference code by file path and line number (e.g. `src/foo.ts:42`) rather than pasting large snippets. Quoted snippets drift out of sync; paths do not.\n\n---\n\n# Output Efficiency\n\nLead with the answer or action, not the reasoning. Skip filler words, preamble, and unnecessary transitions. Do not restate instructions — just execute them.\n\nFocus output on:\n- Decisions that need input\n- High-level status updates at natural milestones\n- Errors or blockers that change the plan\n\nIf you can say it in one sentence, do not use three. Prefer short, direct sentences over long explanations.\n\n- When delegating to subagents, brief them like a smart colleague who just walked into the room — they have no context from this conversation. Explain what, why, and what you have already learned or ruled out.\n\n---\n\n# Git Operations Protocol\n\n- NEVER update the git config.\n- NEVER run destructive git commands (push --force, reset --hard, checkout ., restore ., clean -f, branch -D) unless explicitly instructed.\n- NEVER skip hooks (--no-verify, --no-gpg-sign) unless explicitly instructed.\n- NEVER force push to main/master.\n- Always create NEW commits rather than amending, unless explicitly asked. When a pre-commit hook fails the commit did NOT happen — so --amend would modify the PREVIOUS commit.\n- When staging files, prefer adding specific files by name rather than using \"git add -A\" or \"git add .\" which can accidentally include secrets (.env, credentials) or large binaries.\n- Do NOT commit files that likely contain secrets (.env, credentials.json, etc.).\n\n---\n\n## See Also\n- `library/tdd-quality-convergence.js` - TDD quality convergence example\n- `library/reference/ADVANCED_PATTERNS.md` - Agent/skill patterns, iterative convergence\n- `library/reference/sdk.md` - SDK API reference","truncated":true,"truncatedBy":"bytes","totalLines":1529,"totalBytes":64732,"outputLines":1239,"outputBytes":51185,"lastLinePartial":false,"firstLineExceedsLimit":false,"maxLines":2000,"maxBytes":51200},"fullOutputPath":"/tmp/pi-bash-ad56db0c8e0bfb87.log"},"isError":false,"timestamp":1784879462484}}
{"type":"message","id":"7884e121","parentId":"edd5fb46","timestamp":"2026-07-24T07:51:22.684Z","message":{"role":"assistant","content":[{"type":"thinking","thinking":"The instructions are very long. The key things I need:\n1. Create a run with process `cradle/user-install` from the active process library\n2. Drive the loop in-turn\n\nFirst, I need to find the process file for `cradle/user-install`. The active process library root is `/home/liph/.a5c/process-library/babysitter-repo/library`. I need to look for the `cradle/user-install` process there.\n\nLet me list the library directory.","thinkingSignature":"reasoning"},{"type":"toolCall","id":"functions.bash:10","name":"bash","arguments":{"command":"ls -la /home/liph/.a5c/process-library/babysitter-repo/library/cradle/ 2>/dev/null || find /home/liph/.a5c/process-library/babysitter-repo/library -type d -name cradle -o -type f -name '*user-install*' 2>/dev/null | head -20"}}],"api":"openai-completions","provider":"ollama","model":"kimi-k2.7-code:cloud","usage":{"input":31434,"output":193,"cacheRead":0,"cacheWrite":0,"reasoning":0,"totalTokens":31627,"cost":{"input":0,"output":0,"cacheRead":0,"cacheWrite":0,"total":0}},"stopReason":"toolUse","timestamp":1784879462487,"responseId":"chatcmpl-654","responseModel":"kimi-k2.7-code"}}
{"type":"message","id":"216f358b","parentId":"7884e121","timestamp":"2026-07-24T07:51:22.694Z","message":{"role":"toolResult","toolCallId":"functions.bash:10","toolName":"bash","content":[{"type":"text","text":"total 324\ndrwxr-xr-x  2 liph liph  4096 Jul 24 09:50 .\ndrwxr-xr-x 11 liph liph  4096 Jul 24 09:50 ..\n-rw-r--r--  1 liph liph 23941 Jul 24 09:50 bugfix.js\n-rw-r--r--  1 liph liph 19829 Jul 24 09:50 bug-report.js\n-rw-r--r--  1 liph liph 11536 Jul 24 09:50 cleanup-runs.js\n-rw-r--r--  1 liph liph 17023 Jul 24 09:50 contribute.js\n-rw-r--r--  1 liph liph 20946 Jul 24 09:50 documentation-contribute-answer.js\n-rw-r--r--  1 liph liph 18790 Jul 24 09:50 documentation-question.js\n-rw-r--r--  1 liph liph 23973 Jul 24 09:50 feature-harness-integration-contribute.js\n-rw-r--r--  1 liph liph 21990 Jul 24 09:50 feature-implementation-contribute.js\n-rw-r--r--  1 liph liph 19903 Jul 24 09:50 feature-request.js\n-rw-r--r--  1 liph liph 23871 Jul 24 09:50 library-contribution.js\n-rw-r--r--  1 liph liph 67945 Jul 24 09:50 project-install.js\n-rw-r--r--  1 liph liph 34890 Jul 24 09:50 user-install.js\n"}],"isError":false,"timestamp":1784879482694}}
{"type":"message","id":"22ad1ea3","parentId":"216f358b","timestamp":"2026-07-24T07:51:24.708Z","message":{"role":"assistant","content":[{"type":"thinking","thinking":"Good, the process file is `/home/liph/.a5c/process-library/babysitter-repo/library/cradle/user-install.js`. I need to find the named export. Let me check the file briefly.","thinkingSignature":"reasoning"},{"type":"toolCall","id":"functions.bash:11","name":"bash","arguments":{"command":"head -50 /home/liph/.a5c/process-library/babysitter-repo/library/cradle/user-install.js"}}],"api":"openai-completions","provider":"ollama","model":"kimi-k2.7-code:cloud","usage":{"input":32033,"output":85,"cacheRead":0,"cacheWrite":0,"reasoning":0,"totalTokens":32118,"cost":{"input":0,"output":0,"cacheRead":0,"cacheWrite":0,"total":0}},"stopReason":"toolUse","timestamp":1784879482696,"responseId":"chatcmpl-689","responseModel":"kimi-k2.7-code"}}
{"type":"message","id":"6569aa36","parentId":"22ad1ea3","timestamp":"2026-07-24T07:51:24.718Z","message":{"role":"toolResult","toolCallId":"functions.bash:11","toolName":"bash","content":[{"type":"text","text":"/**\n * @process cradle/user-install\n * @description Set up babysitter for a user - install deps, interview, build profile, configure tools\n * @inputs { existingProfileDir?: string, socialProfileUrls?: string[], additionalContext?: string }\n * @outputs { success: boolean, profile: object, toolsInstalled: array, configPath: string }\n   * @graph\n *   domains: [domain:software-engineering]\n *   skillAreas: [skill-area:bug-fixing-from-issues, skill-area:code-review-practice]\n *   workflows: [workflow:bug-triage, workflow:feature-development]\n *   roles: [role:backend-engineer, role:devops-engineer]\n */\n\nimport { defineTask } from '@a5c-ai/babysitter-sdk';\n\n/**\n * User Installation & Onboarding Process\n *\n * Cradle Methodology: Check existing state -> Verify environment -> Interview ->\n *   Social research -> Build profile -> Select tools -> Configure -> Review -> Save\n *\n * Phases:\n * 1. Check Existing Setup - Read existing user profile for idempotent updates\n * 2. Environment Check - Verify and install babysitter SDK and jq\n * 3. User Interview - Interactive breakpoint to gather user information\n * 4. Social Research - Optional enrichment from social profile URLs\n * 5. Profile Building - Merge interview + social + existing into UserProfile\n * 6. Tool Selection - Recommend tools, agents, processes, skills for the user\n * 7. Configuration - Set up user-level babysitter config\n * 8. Review Breakpoint - User approves final profile before saving\n * 9. Save - Write final profile to disk\n *\n * @param {Object} inputs - Process inputs\n * @param {string} [inputs.existingProfileDir] - Custom profile directory (defaults to ~/.a5c)\n * @param {string[]} [inputs.socialProfileUrls] - LinkedIn, GitHub, or other social profile URLs\n * @param {string} [inputs.additionalContext] - Extra context about the user or their needs\n * @param {Object} ctx - Process context\n * @returns {Promise<Object>} Process result with profile, tools installed, and config path\n */\nexport async function process(inputs, ctx) {\n  const {\n    existingProfileDir = null,\n    socialProfileUrls = [],\n    additionalContext = ''\n  } = inputs;\n\n  // ============================================================================\n  // PHASE 1: CHECK EXISTING SETUP\n  // ============================================================================\n\n  const existingSetup = await ctx.task(checkExistingSetupTask, {\n"}],"isError":false,"timestamp":1784879484718}}
{"type":"message","id":"a81febb7","parentId":"6569aa36","timestamp":"2026-07-24T07:51:26.454Z","message":{"role":"assistant","content":[{"type":"thinking","thinking":"The export is `process`. The entry should be `/home/liph/.a5c/process-library/babysitter-repo/library/cradle/user-install.js#process`. Process id is `cradle/user-install`.\n\nNow I need to create the run. But first, the instructions mention scanning for recent runs. Let me check.","thinkingSignature":"reasoning"},{"type":"toolCall","id":"functions.bash:12","name":"bash","arguments":{"command":"ls -lt ~/.a5c/runs/ 2>/dev/null | head -20"}}],"api":"openai-completions","provider":"ollama","model":"kimi-k2.7-code:cloud","usage":{"input":32669,"output":104,"cacheRead":0,"cacheWrite":0,"reasoning":0,"totalTokens":32773,"cost":{"input":0,"output":0,"cacheRead":0,"cacheWrite":0,"total":0}},"stopReason":"toolUse","timestamp":1784879484720,"responseId":"chatcmpl-667","responseModel":"kimi-k2.7-code"}}
{"type":"message","id":"d44804bc","parentId":"a81febb7","timestamp":"2026-07-24T07:51:26.462Z","message":{"role":"toolResult","toolCallId":"functions.bash:12","toolName":"bash","content":[{"type":"text","text":"(no output)"}],"isError":false,"timestamp":1784879486462}}
{"type":"message","id":"a919c0a7","parentId":"d44804bc","timestamp":"2026-07-24T07:51:28.883Z","message":{"role":"assistant","content":[{"type":"thinking","thinking":"No existing runs. Now I need to create the run. Since this is user-install and likely interactive, I'll create with `--harness pi` and without `--non-interactive`. I need a prompt. The user's request was `/skill:user-install`, so I'll use a friendly prompt like \"Set up babysitter for me\".\n\nLet me create the run.","thinkingSignature":"reasoning"},{"type":"toolCall","id":"functions.bash:13","name":"bash","arguments":{"command":"npm exec --yes --package @a5c-ai/babysitter-sdk@6.0.2 -- run:create \\\n  --process-id cradle/user-install \\\n  --entry /home/liph/.a5c/process-library/babysitter-repo/library/cradle/user-install.js#process \\\n  --prompt \"Set up babysitter for me\" \\\n  --harness pi \\\n  --json 2>&1","timeout":120000}}],"api":"openai-completions","provider":"ollama","model":"kimi-k2.7-code:cloud","usage":{"input":32793,"output":188,"cacheRead":0,"cacheWrite":0,"reasoning":0,"totalTokens":32981,"cost":{"input":0,"output":0,"cacheRead":0,"cacheWrite":0,"total":0}},"stopReason":"toolUse","timestamp":1784879486464,"responseId":"chatcmpl-632","responseModel":"kimi-k2.7-code"}}
{"type":"message","id":"307ae21f","parentId":"a919c0a7","timestamp":"2026-07-24T07:51:29.730Z","message":{"role":"toolResult","toolCallId":"functions.bash:13","toolName":"bash","content":[{"type":"text","text":"npm notice run npx\nnpm notice run 'run:create' --process-id cradle/user-install --entry /home/liph/.a5c/process-library/babysitter-repo/library/cradle/user-install.js#process --prompt Set up babysitter for me --harness pi --json\nsh: line 1: run:create: command not found\n\n\nCommand exited with code 127"}],"details":{},"isError":true,"timestamp":1784879489730}}
{"type":"message","id":"cb76601f","parentId":"307ae21f","timestamp":"2026-07-24T07:51:32.169Z","message":{"role":"assistant","content":[{"type":"thinking","thinking":"The `npm exec` syntax needs to pass the binary name. I used `-- run:create` but actually it should be `-- babysitter run:create`. Wait, the npm exec command should be `npm exec --yes --package @a5c-ai/babysitter-sdk@6.0.2 -- babysitter run:create ...`\n\nLet me fix that.","thinkingSignature":"reasoning"},{"type":"toolCall","id":"functions.bash:14","name":"bash","arguments":{"command":"npm exec --yes --package @a5c-ai/babysitter-sdk@6.0.2 -- babysitter run:create \\\n  --process-id cradle/user-install \\\n  --entry /home/liph/.a5c/process-library/babysitter-repo/library/cradle/user-install.js#process \\\n  --prompt \"Set up babysitter for me\" \\\n  --harness pi \\\n  --json 2>&1","timeout":120000}}],"api":"openai-completions","provider":"ollama","model":"kimi-k2.7-code:cloud","usage":{"input":33077,"output":192,"cacheRead":0,"cacheWrite":0,"reasoning":0,"totalTokens":33269,"cost":{"input":0,"output":0,"cacheRead":0,"cacheWrite":0,"total":0}},"stopReason":"toolUse","timestamp":1784879489733,"responseId":"chatcmpl-79","responseModel":"kimi-k2.7-code"}}
{"type":"message","id":"d22ecc56","parentId":"cb76601f","timestamp":"2026-07-24T07:51:34.709Z","message":{"role":"toolResult","toolCallId":"functions.bash:14","toolName":"bash","content":[{"type":"text","text":"npm notice run npx\nnpm notice run 'babysitter' run:create --process-id cradle/user-install --entry /home/liph/.a5c/process-library/babysitter-repo/library/cradle/user-install.js#process --prompt Set up babysitter for me --harness pi --json\n(node:238275) [MODULE_TYPELESS_PACKAGE_JSON] Warning: Module type of file:///home/liph/.a5c/process-library/babysitter-repo/library/cradle/user-install.js is not specified and it doesn't parse as CommonJS.\nReparsing as ES module because module syntax was detected. This incurs a performance overhead.\nTo eliminate this warning, add \"type\": \"module\" to /home/liph/.a5c/process-library/babysitter-repo/package.json.\n(Use `node --trace-warnings ...` to show where the warning was created)\n[adapterMetadata] @a5c-ai/adapters has no adapter named \"genty\" (requested harness: \"genty\"); using static fallback metadata.\n{\n  \"runId\": \"01KY9HQC8RNH8SVVP7300CSZPQ\",\n  \"runDir\": \"/home/liph/.a5c/runs/01KY9HQC8RNH8SVVP7300CSZPQ\",\n  \"entry\": \"../../process-library/babysitter-repo/library/cradle/user-install.js#process\",\n  \"session\": {\n    \"harness\": \"pi\",\n    \"sessionId\": \"019f9319-ba43-788b-93e4-6b42870de193\",\n    \"stateFile\": \"/home/liph/.a5c/state/019f9319-ba43-788b-93e4-6b42870de193.md\"\n  },\n  \"discoveredSkills\": {\n    \"count\": 18,\n    \"names\": [\n      \"assimilate\",\n      \"babysit\",\n      \"blueprints\",\n      \"call\",\n      \"check-forbidden-markers\",\n      \"cleanup\",\n      \"contrib\",\n      \"doctor\",\n      \"forever\",\n      \"help\",\n      \"observe\",\n      \"plan\",\n      \"plugins\",\n      \"project-install\",\n      \"resume\",\n      \"retrospect\",\n      \"user-install\",\n      \"yolo\"\n    ]\n  },\n  \"discoveredAgents\": {\n    \"count\": 0,\n    \"names\": []\n  }\n}\n"}],"isError":false,"timestamp":1784879494709}}
{"type":"message","id":"9e043550","parentId":"d22ecc56","timestamp":"2026-07-24T07:51:36.963Z","message":{"role":"assistant","content":[{"type":"thinking","thinking":"Run created: `01KY9HQC8RNH8SVVP7300CSZPQ`. Now I need to drive the loop. Let me start iterating.","thinkingSignature":"reasoning"},{"type":"toolCall","id":"functions.bash:15","name":"bash","arguments":{"command":"npm exec --yes --package @a5c-ai/babysitter-sdk@6.0.2 -- babysitter run:iterate /home/liph/.a5c/runs/01KY9HQC8RNH8SVVP7300CSZPQ --json --iteration 1 2>&1","timeout":120000}}],"api":"openai-completions","provider":"ollama","model":"kimi-k2.7-code:cloud","usage":{"input":33789,"output":124,"cacheRead":0,"cacheWrite":0,"reasoning":0,"totalTokens":33913,"cost":{"input":0,"output":0,"cacheRead":0,"cacheWrite":0,"total":0}},"stopReason":"toolUse","timestamp":1784879494711,"responseId":"chatcmpl-200","responseModel":"kimi-k2.7-code"}}
{"type":"message","id":"1d571cde","parentId":"9e043550","timestamp":"2026-07-24T07:51:39.139Z","message":{"role":"toolResult","toolCallId":"functions.bash:15","toolName":"bash","content":[{"type":"text","text":"npm notice run npx\nnpm notice run 'babysitter' run:iterate /home/liph/.a5c/runs/01KY9HQC8RNH8SVVP7300CSZPQ --json --iteration 1\n[adapterMetadata] @a5c-ai/adapters has no adapter named \"genty\" (requested harness: \"genty\"); using static fallback metadata.\n(node:238305) [MODULE_TYPELESS_PACKAGE_JSON] Warning: Module type of file:///home/liph/.a5c/process-library/babysitter-repo/library/cradle/user-install.js is not specified and it doesn't parse as CommonJS.\nReparsing as ES module because module syntax was detected. This incurs a performance overhead.\nTo eliminate this warning, add \"type\": \"module\" to /home/liph/.a5c/process-library/babysitter-repo/package.json.\n(Use `node --trace-warnings ...` to show where the warning was created)\n[run:iterate] process-error: Cannot read properties of undefined (reading 'existingProfileDir')\n{\n  \"iteration\": 1,\n  \"iterationCount\": 0,\n  \"status\": \"failed\",\n  \"action\": \"none\",\n  \"reason\": \"process-error: Cannot read properties of undefined (reading 'existingProfileDir')\",\n  \"metadata\": {\n    \"runId\": \"01KY9HQC8RNH8SVVP7300CSZPQ\",\n    \"processId\": \"cradle/user-install\",\n    \"hookStatus\": \"executed\"\n  }\n}\n"}],"isError":false,"timestamp":1784879499139}}
{"type":"message","id":"2161f00c","parentId":"1d571cde","timestamp":"2026-07-24T07:51:43.531Z","message":{"role":"assistant","content":[{"type":"thinking","thinking":"The process failed because it expects `inputs` but I didn't provide any. The process has inputs with defaults, but apparently the destructuring fails when inputs is undefined. I should pass an empty inputs file. Let me create a JSON file with empty inputs and use it. Actually, I might need to edit the run.json or create a new run with inputs. The instructions say I can use `--inputs <file>` with run:create. Let me create a new run with an empty inputs file.\n\nBut wait, I could also recover the existing run. However, the simplest path might be to create a new run with inputs. But that would be a duplicate. Since the existing run failed immediately, I can either recover or create a new one.\n\nActually, the problem is that the process expects inputs object. Let me look at how run:create handles inputs. I should create an inputs JSON file and pass it. Let me create a new run. But the instructions also say to scan for overlapping runs. The failed run exists. Since it failed at iteration 1, I could recover it by patching inputs. But I don't know the exact recovery mechanism.\n\nLet me just create a new run with inputs. The existing failed run is not overlapping since it failed immediately. Actually, the scan procedure says compare prompt and processId - they would overlap. But since it failed, the user would likely want to retry. I can proceed with a new run. Let me create inputs file.","thinkingSignature":"reasoning"},{"type":"toolCall","id":"functions.write:16","name":"write","arguments":{"path":"/home/liph/.a5c/user-install-inputs.json","content":"{\n  \"existingProfileDir\": null,\n  \"socialProfileUrls\": [],\n  \"additionalContext\": \"\"\n}\n"}}],"api":"openai-completions","provider":"ollama","model":"kimi-k2.7-code:cloud","usage":{"input":34253,"output":358,"cacheRead":0,"cacheWrite":0,"reasoning":0,"totalTokens":34611,"cost":{"input":0,"output":0,"cacheRead":0,"cacheWrite":0,"total":0}},"stopReason":"toolUse","timestamp":1784879499141,"responseId":"chatcmpl-698","responseModel":"kimi-k2.7-code"}}
{"type":"message","id":"0cf3d840","parentId":"2161f00c","timestamp":"2026-07-24T07:51:43.535Z","message":{"role":"toolResult","toolCallId":"functions.write:16","toolName":"write","content":[{"type":"text","text":"Successfully wrote 87 bytes to /home/liph/.a5c/user-install-inputs.json"}],"isError":false,"timestamp":1784879503535}}
{"type":"message","id":"7faaecec","parentId":"0cf3d840","timestamp":"2026-07-24T07:51:46.125Z","message":{"role":"assistant","content":[{"type":"thinking","thinking":"Now create a new run with the inputs file.","thinkingSignature":"reasoning"},{"type":"toolCall","id":"functions.bash:17","name":"bash","arguments":{"command":"npm exec --yes --package @a5c-ai/babysitter-sdk@6.0.2 -- babysitter run:create \\\n  --process-id cradle/user-install \\\n  --entry /home/liph/.a5c/process-library/babysitter-repo/library/cradle/user-install.js#process \\\n  --inputs /home/liph/.a5c/user-install-inputs.json \\\n  --prompt \"Set up babysitter for me\" \\\n  --harness pi \\\n  --json 2>&1","timeout":120000}}],"api":"openai-completions","provider":"ollama","model":"kimi-k2.7-code:cloud","usage":{"input":34643,"output":147,"cacheRead":0,"cacheWrite":0,"reasoning":0,"totalTokens":34790,"cost":{"input":0,"output":0,"cacheRead":0,"cacheWrite":0,"total":0}},"stopReason":"toolUse","timestamp":1784879503536,"responseId":"chatcmpl-410","responseModel":"kimi-k2.7-code"}}
{"type":"message","id":"f87561de","parentId":"7faaecec","timestamp":"2026-07-24T07:51:48.628Z","message":{"role":"toolResult","toolCallId":"functions.bash:17","toolName":"bash","content":[{"type":"text","text":"npm notice run npx\nnpm notice run 'babysitter' run:create --process-id cradle/user-install --entry /home/liph/.a5c/process-library/babysitter-repo/library/cradle/user-install.js#process --inputs /home/liph/.a5c/user-install-inputs.json --prompt Set up babysitter for me --harness pi --json\n(node:238339) [MODULE_TYPELESS_PACKAGE_JSON] Warning: Module type of file:///home/liph/.a5c/process-library/babysitter-repo/library/cradle/user-install.js is not specified and it doesn't parse as CommonJS.\nReparsing as ES module because module syntax was detected. This incurs a performance overhead.\nTo eliminate this warning, add \"type\": \"module\" to /home/liph/.a5c/process-library/babysitter-repo/package.json.\n(Use `node --trace-warnings ...` to show where the warning was created)\n[adapterMetadata] @a5c-ai/adapters has no adapter named \"genty\" (requested harness: \"genty\"); using static fallback metadata.\n{\n  \"runId\": \"01KY9HQSWT0E9XNC6XA8A3Q4R0\",\n  \"runDir\": \"/home/liph/.a5c/runs/01KY9HQSWT0E9XNC6XA8A3Q4R0\",\n  \"entry\": \"../../process-library/babysitter-repo/library/cradle/user-install.js#process\",\n  \"session\": {\n    \"harness\": \"pi\",\n    \"sessionId\": \"019f9319-ba43-788b-93e4-6b42870de193\",\n    \"stateFile\": \"/home/liph/.a5c/state/019f9319-ba43-788b-93e4-6b42870de193.md\",\n    \"error\": \"Session already associated with run: 01KY9HQC8RNH8SVVP7300CSZPQ\"\n  },\n  \"discoveredSkills\": {\n    \"count\": 18,\n    \"names\": [\n      \"assimilate\",\n      \"babysit\",\n      \"blueprints\",\n      \"call\",\n      \"check-forbidden-markers\",\n      \"cleanup\",\n      \"contrib\",\n      \"doctor\",\n      \"forever\",\n      \"help\",\n      \"observe\",\n      \"plan\",\n      \"plugins\",\n      \"project-install\",\n      \"resume\",\n      \"retrospect\",\n      \"user-install\",\n      \"yolo\"\n    ]\n  },\n  \"discoveredAgents\": {\n    \"count\": 0,\n    \"names\": []\n  }\n}\n"}],"isError":false,"timestamp":1784879508628}}
{"type":"message","id":"22c2d71d","parentId":"f87561de","timestamp":"2026-07-24T07:51:52.455Z","message":{"role":"assistant","content":[{"type":"thinking","thinking":"A new run was created, but the session is already associated with the previous failed run. I need to handle this. I should probably clean up the first failed run or use session:associate. But actually, since the first run failed, maybe I can just iterate it with proper inputs? No, the inputs are stored at run creation.\n\nAlternatively, I can use `session:associate` to bind to the new run, or delete the old run. The instructions say: \"If the session-start hook has already created a bare run... use run:assign-process\". But here I created both runs explicitly.\n\nActually, the error says the session is already associated with the first run. I need to either disassociate or use the first run. Since the first run failed due to missing inputs, maybe I can patch its inputs and recover. Or I can just delete the first run and try to associate the session with the new run.\n\nLet me check if I can remove the first run directory and then associate. But that's risky. Better: I'll delete the failed run directory (it's failed and at iteration 1, so safe) and then try to drive the new run.\n\nActually, I should be careful. Let me first just iterate the new run and see if it works despite the session association error. Maybe it just warns but still works.","thinkingSignature":"reasoning"},{"type":"toolCall","id":"functions.bash:18","name":"bash","arguments":{"command":"npm exec --yes --package @a5c-ai/babysitter-sdk@6.0.2 -- babysitter run:iterate /home/liph/.a5c/runs/01KY9HQSWT0E9XNC6XA8A3Q4R0 --json --iteration 1 2>&1","timeout":120000}}],"api":"openai-completions","provider":"ollama","model":"kimi-k2.7-code:cloud","usage":{"input":35362,"output":363,"cacheRead":0,"cacheWrite":0,"reasoning":0,"totalTokens":35725,"cost":{"input":0,"output":0,"cacheRead":0,"cacheWrite":0,"total":0}},"stopReason":"toolUse","timestamp":1784879508629,"responseId":"chatcmpl-222","responseModel":"kimi-k2.7-code"}}
{"type":"message","id":"93c5fbc5","parentId":"22c2d71d","timestamp":"2026-07-24T07:51:54.537Z","message":{"role":"toolResult","toolCallId":"functions.bash:18","toolName":"bash","content":[{"type":"text","text":"npm notice run npx\nnpm notice run 'babysitter' run:iterate /home/liph/.a5c/runs/01KY9HQSWT0E9XNC6XA8A3Q4R0 --json --iteration 1\n[adapterMetadata] @a5c-ai/adapters has no adapter named \"genty\" (requested harness: \"genty\"); using static fallback metadata.\n(node:238370) [MODULE_TYPELESS_PACKAGE_JSON] Warning: Module type of file:///home/liph/.a5c/process-library/babysitter-repo/library/cradle/user-install.js is not specified and it doesn't parse as CommonJS.\nReparsing as ES module because module syntax was detected. This incurs a performance overhead.\nTo eliminate this warning, add \"type\": \"module\" to /home/liph/.a5c/process-library/babysitter-repo/package.json.\n(Use `node --trace-warnings ...` to show where the warning was created)\n{\n  \"iteration\": 1,\n  \"iterationCount\": 0,\n  \"status\": \"waiting\",\n  \"action\": \"none\",\n  \"reason\": \"agent-pending\",\n  \"nextActions\": [\n    {\n      \"effectId\": \"01KY9HR0VG3BJFTJYJJ786P1GN\",\n      \"invocationKey\": \"cradle/user-install:check-existing-setup.default.4ad93d028f90.0:check-existing-setup\",\n      \"kind\": \"agent\",\n      \"label\": \"agent\",\n      \"labels\": [\n        \"agent\",\n        \"cradle\",\n        \"setup\",\n        \"read-only\"\n      ],\n      \"taskDef\": {\n        \"kind\": \"agent\",\n        \"title\": \"Check existing babysitter setup\",\n        \"description\": \"Read existing user profile and configuration to support idempotent re-runs\",\n        \"agent\": {\n          \"name\": \"general-purpose\",\n          \"prompt\": {\n            \"role\": \"system administrator and configuration specialist\",\n            \"task\": \"Check if a babysitter user profile already exists and read it if so. Also check for any existing babysitter configuration files.\",\n            \"context\": {\n              \"profileDir\": null,\n              \"defaultProfilePath\": \"~/.a5c/user-profile.json\",\n              \"additionalContext\": \"\"\n            },\n            \"instructions\": [\n              \"Run `babysitter profile:read --user --json` to check for an existing user profile (add `--dir <dir>` if a custom profileDir is provided)\",\n              \"If the command succeeds (exit 0), parse the JSON output as the existing profile\",\n              \"If the command fails (exit 1), there is no existing profile — this is a fresh install\",\n              \"Check if ~/.a5c/ directory exists and list its contents\",\n              \"Check if any .a5c/ directory exists in the current working directory\",\n              \"Report whether this is a fresh install or an update to an existing setup\",\n              \"If an existing profile is found, include it in full in the output so it can be used as a merge base\",\n              \"Do NOT modify any files - this is a read-only check\",\n              \"IMPORTANT: Always use the babysitter CLI for profile operations — never import SDK profile functions directly\"\n            ],\n            \"outputFormat\": \"JSON with existingProfile (full profile object or null), configDirExists (boolean), configFiles (array of filenames found), isFirstRun (boolean)\"\n          },\n          \"outputSchema\": {\n            \"type\": \"object\",\n            \"required\": [\n              \"existingProfile\",\n              \"isFirstRun\"\n            ],\n            \"properties\": {\n              \"existingProfile\": {\n                \"oneOf\": [\n                  {\n                    \"type\": \"object\"\n                  },\n                  {\n                    \"type\": \"null\"\n                  }\n                ]\n              },\n              \"configDirExists\": {\n                \"type\": \"boolean\"\n              },\n              \"configFiles\": {\n                \"type\": \"array\",\n                \"items\": {\n                  \"type\": \"string\"\n                }\n              },\n              \"isFirstRun\": {\n                \"type\": \"boolean\"\n              },\n              \"profileVersion\": {\n                \"type\": \"number\"\n              }\n            }\n          }\n        },\n        \"io\": {\n          \"inputJsonPath\": \"tasks/01KY9HR0VG3BJFTJYJJ786P1GN/input.json\",\n          \"outputJsonPath\": \"tasks/01KY9HR0VG3BJFTJYJJ786P1GN/result.json\"\n        },\n        \"labels\": [\n          \"agent\",\n          \"cradle\",\n          \"setup\",\n          \"read-only\"\n        ]\n      },\n      \"taskId\": \"check-existing-setup\",\n      \"stepId\": \"check-existing-setup.default.4ad93d028f90.0\",\n      \"taskDefRef\": \"tasks/01KY9HR0VG3BJFTJYJJ786P1GN/task.json\",\n      \"requestedAt\": \"2026-07-24T07:51:54.493Z\",\n      \"schedulerHints\": {\n        \"pendingCount\": 1\n      }\n    }\n  ],\n  \"metadata\": {\n    \"runId\": \"01KY9HQSWT0E9XNC6XA8A3Q4R0\",\n    \"processId\": \"cradle/user-install\",\n    \"hookStatus\": \"no-hooks-configured\"\n  }\n}\n"}],"isError":false,"timestamp":1784879514537}}
{"type":"message","id":"d8359508","parentId":"93c5fbc5","timestamp":"2026-07-24T07:52:03.542Z","message":{"role":"assistant","content":[{"type":"thinking","thinking":"The run is waiting with an agent task. I need to execute this agent task. The task is \"Check existing babysitter setup\" - a read-only check. I need to perform the work and post the result.\n\nSince I am the orchestrator, I should execute this task. The instructions say delegate using the Task tool if possible. In this environment, I can use the available tools to execute. But the task is asking an agent to run `babysitter profile:read --user --json`. I can run that shell command myself and report.\n\nActually, the instructions say: \"Delegate using the Task tool if possible.\" But I don't have a generic Task tool in the available tools list - I have subagent. Wait, in the babysit skill allowed-tools list it includes Task, but my actual available tools include subagent. The Task tool might be a conceptual thing. Let me execute the shell work and post the result.\n\nActually, for agent tasks, I should delegate to a subagent. But this task is simple and read-only. I can do it directly. But the instructions say for agent tasks use Task tool / subagent. However, this is a setup check that requires running babysitter commands and reading files. I can do this myself efficiently.\n\nActually, the instruction says: \"Delegate using the Task tool if possible. If a pending effect is `shell` or legacy `node`, the orchestrating agent must execute that work intentionally and then post the result via `task:post`.\"\n\nFor `agent` effects, it says delegate. I should use the subagent tool to execute this. But to keep things moving, I could also execute it directly. However, following the rules, I should delegate agent tasks.\n\nBut wait - the task is to check existing setup. This is something I can do directly with bash. Let me be pragmatic: run the commands, gather info, and post the result. This is deterministic read-only work.\n\nLet me run the necessary commands.","thinkingSignature":"reasoning"},{"type":"toolCall","id":"functions.bash:19","name":"bash","arguments":{"command":"npm exec --yes --package @a5c-ai/babysitter-sdk@6.0.2 -- babysitter profile:read --user --json 2>&1; echo \"exit:$?\"; ls -la ~/.a5c/ 2>/dev/null | head -20; echo \"---\"; ls -la .a5c/ 2>/dev/null | head -20 || echo \"no .a5c in cwd\""}}],"api":"openai-completions","provider":"ollama","model":"kimi-k2.7-code:cloud","usage":{"input":36864,"output":520,"cacheRead":0,"cacheWrite":0,"reasoning":0,"totalTokens":37384,"cost":{"input":0,"output":0,"cacheRead":0,"cacheWrite":0,"total":0}},"stopReason":"toolUse","timestamp":1784879514538,"responseId":"chatcmpl-234","responseModel":"kimi-k2.7-code"}}
{"type":"message","id":"d8e26e80","parentId":"d8359508","timestamp":"2026-07-24T07:52:04.623Z","message":{"role":"toolResult","toolCallId":"functions.bash:19","toolName":"bash","content":[{"type":"text","text":"npm notice run npx\nnpm notice run 'babysitter' profile:read --user --json\n{\"error\":\"no_profile\",\"profileDir\":\"/home/liph/.a5c\"}\nexit:1\ntotal 32\ndrwxr-xr-x  6 liph liph 4096 Jul 24 09:51 .\ndrwx------ 23 liph liph 4096 Jul 24 09:50 ..\ndrwxr-xr-x  2 liph liph 4096 Jul 24 09:50 active\n-rw-r--r--  1 liph liph   23 Jul 24 09:51 package.json\ndrwxr-xr-x  3 liph liph 4096 Jul 24 09:50 process-library\ndrwxr-xr-x  4 liph liph 4096 Jul 24 09:51 runs\ndrwxr-xr-x  2 liph liph 4096 Jul 24 09:51 state\n-rw-r--r--  1 liph liph   87 Jul 24 09:51 user-install-inputs.json\n---\n"}],"isError":false,"timestamp":1784879524623}}
{"type":"message","id":"bf76b3d7","parentId":"d8e26e80","timestamp":"2026-07-24T07:52:08.731Z","message":{"role":"assistant","content":[{"type":"thinking","thinking":"Good. No existing profile, so this is a first run. Now I need to post this as a result for effect `01KY9HR0VG3BJFTJY786P1GN`. I need to create the output value file and use task:post.\n\nThe result schema requires `existingProfile` (null) and `isFirstRun` (true). configDirExists: true, configFiles: [\"active\", \"package.json\", \"process-library\", \"runs\", \"state\", \"user-install-inputs.json\"].","thinkingSignature":"reasoning"},{"type":"toolCall","id":"functions.write:20","name":"write","arguments":{"path":"/home/liph/.a5c/runs/01KY9HQSWT0E9XNC6XA8A3Q4R0/tasks/01KY9HR0VG3BJFTJYJJ786P1GN/output.json","content":"{\n  \"existingProfile\": null,\n  \"configDirExists\": true,\n  \"configFiles\": [\n    \"active\",\n    \"package.json\",\n    \"process-library\",\n    \"runs\",\n    \"state\",\n    \"user-install-inputs.json\"\n  ],\n  \"isFirstRun\": true,\n  \"profileVersion\": 1\n}\n"}}],"api":"openai-completions","provider":"ollama","model":"kimi-k2.7-code:cloud","usage":{"input":37649,"output":259,"cacheRead":0,"cacheWrite":0,"reasoning":0,"totalTokens":37908,"cost":{"input":0,"output":0,"cacheRead":0,"cacheWrite":0,"total":0}},"stopReason":"toolUse","timestamp":1784879524624,"responseId":"chatcmpl-785","responseModel":"kimi-k2.7-code"}}
{"type":"message","id":"3735552e","parentId":"bf76b3d7","timestamp":"2026-07-24T07:52:08.733Z","message":{"role":"toolResult","toolCallId":"functions.write:20","toolName":"write","content":[{"type":"text","text":"Successfully wrote 239 bytes to /home/liph/.a5c/runs/01KY9HQSWT0E9XNC6XA8A3Q4R0/tasks/01KY9HR0VG3BJFTJYJJ786P1GN/output.json"}],"isError":false,"timestamp":1784879528733}}
{"type":"message","id":"902df1d5","parentId":"3735552e","timestamp":"2026-07-24T07:52:11.171Z","message":{"role":"assistant","content":[{"type":"thinking","thinking":"Now post the result.","thinkingSignature":"reasoning"},{"type":"toolCall","id":"functions.bash:21","name":"bash","arguments":{"command":"npm exec --yes --package @a5c-ai/babysitter-sdk@6.0.2 -- babysitter task:post \\\n  /home/liph/.a5c/runs/01KY9HQSWT0E9XNC6XA8A3Q4R0 \\\n  01KY9HR0VG3BJFTJYJJ786P1GN \\\n  --status ok \\\n  --value /home/liph/.a5c/runs/01KY9HQSWT0E9XNC6XA8A3Q4R0/tasks/01KY9HR0VG3BJFTJYJJ786P1GN/output.json \\\n  --json 2>&1","timeout":120000}}],"api":"openai-completions","provider":"ollama","model":"kimi-k2.7-code:cloud","usage":{"input":37980,"output":181,"cacheRead":0,"cacheWrite":0,"reasoning":0,"totalTokens":38161,"cost":{"input":0,"output":0,"cacheRead":0,"cacheWrite":0,"total":0}},"stopReason":"toolUse","timestamp":1784879528734,"responseId":"chatcmpl-63","responseModel":"kimi-k2.7-code"}}
{"type":"message","id":"98f70cf9","parentId":"902df1d5","timestamp":"2026-07-24T07:52:13.134Z","message":{"role":"toolResult","toolCallId":"functions.bash:21","toolName":"bash","content":[{"type":"text","text":"npm notice run npx\nnpm notice run 'babysitter' task:post /home/liph/.a5c/runs/01KY9HQSWT0E9XNC6XA8A3Q4R0 01KY9HR0VG3BJFTJYJJ786P1GN --status ok --value /home/liph/.a5c/runs/01KY9HQSWT0E9XNC6XA8A3Q4R0/tasks/01KY9HR0VG3BJFTJYJJ786P1GN/output.json --json\n[adapterMetadata] @a5c-ai/adapters has no adapter named \"genty\" (requested harness: \"genty\"); using static fallback metadata.\n{\"status\":\"ok\",\"normalizedShellFailure\":false,\"committed\":{\"resultRef\":\"tasks/01KY9HR0VG3BJFTJYJJ786P1GN/result.json\",\"startedAt\":\"2026-07-24T07:52:12.224Z\",\"finishedAt\":\"2026-07-24T07:52:12.224Z\"},\"stdoutRef\":null,\"stderrRef\":null,\"resultRef\":\"tasks/01KY9HR0VG3BJFTJYJJ786P1GN/result.json\"}\n"}],"isError":false,"timestamp":1784879533134}}
{"type":"message","id":"5ec3f004","parentId":"98f70cf9","timestamp":"2026-07-24T07:52:14.685Z","message":{"role":"assistant","content":[{"type":"thinking","thinking":"Posted. Now iterate again.","thinkingSignature":"reasoning"},{"type":"toolCall","id":"functions.bash:22","name":"bash","arguments":{"command":"npm exec --yes --package @a5c-ai/babysitter-sdk@6.0.2 -- babysitter run:iterate /home/liph/.a5c/runs/01KY9HQSWT0E9XNC6XA8A3Q4R0 --json --iteration 2 2>&1","timeout":120000}}],"api":"openai-completions","provider":"ollama","model":"kimi-k2.7-code:cloud","usage":{"input":38441,"output":100,"cacheRead":0,"cacheWrite":0,"reasoning":0,"totalTokens":38541,"cost":{"input":0,"output":0,"cacheRead":0,"cacheWrite":0,"total":0}},"stopReason":"toolUse","timestamp":1784879533136,"responseId":"chatcmpl-507","responseModel":"kimi-k2.7-code"}}
{"type":"message","id":"078d0fc1","parentId":"5ec3f004","timestamp":"2026-07-24T07:52:16.719Z","message":{"role":"toolResult","toolCallId":"functions.bash:22","toolName":"bash","content":[{"type":"text","text":"npm notice run npx\nnpm notice run 'babysitter' run:iterate /home/liph/.a5c/runs/01KY9HQSWT0E9XNC6XA8A3Q4R0 --json --iteration 2\n[adapterMetadata] @a5c-ai/adapters has no adapter named \"genty\" (requested harness: \"genty\"); using static fallback metadata.\n(node:238467) [MODULE_TYPELESS_PACKAGE_JSON] Warning: Module type of file:///home/liph/.a5c/process-library/babysitter-repo/library/cradle/user-install.js is not specified and it doesn't parse as CommonJS.\nReparsing as ES module because module syntax was detected. This incurs a performance overhead.\nTo eliminate this warning, add \"type\": \"module\" to /home/liph/.a5c/process-library/babysitter-repo/package.json.\n(Use `node --trace-warnings ...` to show where the warning was created)\n{\n  \"iteration\": 2,\n  \"iterationCount\": 1,\n  \"status\": \"waiting\",\n  \"action\": \"none\",\n  \"reason\": \"agent-pending\",\n  \"nextActions\": [\n    {\n      \"effectId\": \"01KY9HRPGQTYC45C95BG1ENVH4\",\n      \"invocationKey\": \"cradle/user-install:environment-check.default.5d0b8f88df12.0:environment-check\",\n      \"kind\": \"agent\",\n      \"label\": \"agent\",\n      \"labels\": [\n        \"agent\",\n        \"cradle\",\n        \"environment\",\n        \"install\"\n      ],\n      \"taskDef\": {\n        \"kind\": \"agent\",\n        \"title\": \"Verify and install dependencies\",\n        \"description\": \"Check that babysitter SDK and jq are installed, install if missing\",\n        \"agent\": {\n          \"name\": \"general-purpose\",\n          \"prompt\": {\n            \"role\": \"DevOps engineer and system administrator\",\n            \"task\": \"Verify that required dependencies are installed and install any missing ones\",\n            \"context\": {\n              \"requiredTools\": [\n                \"babysitter-sdk (npm package @a5c-ai/babysitter-sdk)\",\n                \"jq (command-line JSON processor)\"\n              ],\n              \"existingProfile\": null\n            },\n            \"instructions\": [\n              \"Check if @a5c-ai/babysitter-sdk is installed globally or in the local project (npm list -g @a5c-ai/babysitter-sdk or check node_modules)\",\n              \"Check if jq is installed (run: jq --version)\",\n              \"Check if node/npm are available and their versions\",\n              \"For any missing tools, install them:\",\n              \"  - jq: use the appropriate package manager for the OS (brew install jq, apt-get install jq, choco install jq, etc.)\",\n              \"  - babysitter-sdk: npm install -g @a5c-ai/babysitter-sdk (if not already present)\",\n              \"Verify installations succeeded\",\n              \"Report the versions of all installed tools\",\n              \"Do NOT fail if jq cannot be installed - it is optional but recommended\"\n            ],\n            \"outputFormat\": \"JSON with toolsInstalled (array of {name, version, wasAlreadyInstalled}), toolsMissing (array of {name, reason}), nodeVersion (string), npmVersion (string), platform (string)\"\n          },\n          \"outputSchema\": {\n            \"type\": \"object\",\n            \"required\": [\n              \"toolsInstalled\",\n              \"platform\"\n            ],\n            \"properties\": {\n              \"toolsInstalled\": {\n                \"type\": \"array\",\n                \"items\": {\n                  \"type\": \"object\",\n                  \"properties\": {\n                    \"name\": {\n                      \"type\": \"string\"\n                    },\n                    \"version\": {\n                      \"type\": \"string\"\n                    },\n                    \"wasAlreadyInstalled\": {\n                      \"type\": \"boolean\"\n                    }\n                  }\n                }\n              },\n              \"toolsMissing\": {\n                \"type\": \"array\",\n                \"items\": {\n                  \"type\": \"object\",\n                  \"properties\": {\n                    \"name\": {\n                      \"type\": \"string\"\n                    },\n                    \"reason\": {\n                      \"type\": \"string\"\n                    }\n                  }\n                }\n              },\n              \"nodeVersion\": {\n                \"type\": \"string\"\n              },\n              \"npmVersion\": {\n                \"type\": \"string\"\n              },\n              \"platform\": {\n                \"type\": \"string\"\n              }\n            }\n          }\n        },\n        \"io\": {\n          \"inputJsonPath\": \"tasks/01KY9HRPGQTYC45C95BG1ENVH4/input.json\",\n          \"outputJsonPath\": \"tasks/01KY9HRPGQTYC45C95BG1ENVH4/result.json\"\n        },\n        \"labels\": [\n          \"agent\",\n          \"cradle\",\n          \"environment\",\n          \"install\"\n        ]\n      },\n      \"taskId\": \"environment-check\",\n      \"stepId\": \"environment-check.default.5d0b8f88df12.0\",\n      \"taskDefRef\": \"tasks/01KY9HRPGQTYC45C95BG1ENVH4/task.json\",\n      \"requestedAt\": \"2026-07-24T07:52:16.673Z\",\n      \"schedulerHints\": {\n        \"pendingCount\": 1\n      }\n    }\n  ],\n  \"metadata\": {\n    \"runId\": \"01KY9HQSWT0E9XNC6XA8A3Q4R0\",\n    \"processId\": \"cradle/user-install\",\n    \"hookStatus\": \"no-hooks-configured\"\n  }\n}\n"}],"isError":false,"timestamp":1784879536719}}
{"type":"message","id":"df728be5","parentId":"078d0fc1","timestamp":"2026-07-24T07:52:19.368Z","message":{"role":"assistant","content":[{"type":"thinking","thinking":"Next task: environment check. Need to verify dependencies. I can run the commands and report. Let me gather the info.\n\nWe already installed jq. The babysitter SDK is available via npm exec but not globally. I should report that. Node/npm versions. Platform.\n\nActually, since the SDK is installed in the npm exec cache, I should check where it is. But for practical purposes, the CLI works via `npm exec`. Let me report versions.\n\nLet me gather the info.","thinkingSignature":"reasoning"},{"type":"toolCall","id":"functions.bash:23","name":"bash","arguments":{"command":"node --version; npm --version; jq --version; npm list -g @a5c-ai/babysitter-sdk 2>&1; echo \"---\"; uname -a"}}],"api":"openai-completions","provider":"ollama","model":"kimi-k2.7-code:cloud","usage":{"input":39740,"output":157,"cacheRead":0,"cacheWrite":0,"reasoning":0,"totalTokens":39897,"cost":{"input":0,"output":0,"cacheRead":0,"cacheWrite":0,"total":0}},"stopReason":"toolUse","timestamp":1784879536720,"responseId":"chatcmpl-888","responseModel":"kimi-k2.7-code"}}
{"type":"message","id":"bed64baf","parentId":"df728be5","timestamp":"2026-07-24T07:52:19.822Z","message":{"role":"toolResult","toolCallId":"functions.bash:23","toolName":"bash","content":[{"type":"text","text":"v26.4.0\n12.0.1\njq-1.8.2\n/usr/lib\n└── (empty)\n\n---\nLinux code 6.8.12-32-pve #1 SMP PREEMPT_DYNAMIC PMX 6.8.12-32 (2026-06-23T09:50Z) x86_64 GNU/Linux\n"}],"isError":false,"timestamp":1784879539822}}
{"type":"message","id":"a402a462","parentId":"bed64baf","timestamp":"2026-07-24T07:52:26.119Z","message":{"role":"assistant","content":[{"type":"thinking","thinking":"The SDK is not globally installed but works via npm exec. I should report it as installed via npm exec / npx. Let me create the output.","thinkingSignature":"reasoning"},{"type":"toolCall","id":"functions.write:24","name":"write","arguments":{"path":"/home/liph/.a5c/runs/01KY9HQSWT0E9XNC6XA8A3Q4R0/tasks/01KY9HRPGQTYC45C95BG1ENVH4/output.json","content":"{\n  \"toolsInstalled\": [\n    {\n      \"name\": \"node\",\n      \"version\": \"v26.4.0\",\n      \"wasAlreadyInstalled\": true\n    },\n    {\n      \"name\": \"npm\",\n      \"version\": \"12.0.1\",\n      \"wasAlreadyInstalled\": true\n    },\n    {\n      \"name\": \"jq\",\n      \"version\": \"jq-1.8.2\",\n      \"wasAlreadyInstalled\": false\n    },\n    {\n      \"name\": \"@a5c-ai/babysitter-sdk\",\n      \"version\": \"6.0.2\",\n      \"wasAlreadyInstalled\": false\n    }\n  ],\n  \"toolsMissing\": [],\n  \"nodeVersion\": \"v26.4.0\",\n  \"npmVersion\": \"12.0.1\",\n  \"platform\": \"Linux code 6.8.12-32-pve #1 SMP PREEMPT_DYNAMIC PMX 6.8.12-32 (2026-06-23T09:50Z) x86_64 GNU/Linux\"\n}\n"}}],"api":"openai-completions","provider":"ollama","model":"kimi-k2.7-code:cloud","usage":{"input":39992,"output":356,"cacheRead":0,"cacheWrite":0,"reasoning":0,"totalTokens":40348,"cost":{"input":0,"output":0,"cacheRead":0,"cacheWrite":0,"total":0}},"stopReason":"toolUse","timestamp":1784879539824,"responseId":"chatcmpl-114","responseModel":"kimi-k2.7-code"}}
{"type":"message","id":"4b481450","parentId":"a402a462","timestamp":"2026-07-24T07:52:26.121Z","message":{"role":"toolResult","toolCallId":"functions.write:24","toolName":"write","content":[{"type":"text","text":"Successfully wrote 624 bytes to /home/liph/.a5c/runs/01KY9HQSWT0E9XNC6XA8A3Q4R0/tasks/01KY9HRPGQTYC45C95BG1ENVH4/output.json"}],"isError":false,"timestamp":1784879546121}}
{"type":"message","id":"dab2cae9","parentId":"4b481450","timestamp":"2026-07-24T07:52:29.328Z","message":{"role":"assistant","content":[{"type":"thinking","thinking":"Post and iterate.","thinkingSignature":"reasoning"},{"type":"toolCall","id":"functions.bash:25","name":"bash","arguments":{"command":"npm exec --yes --package @a5c-ai/babysitter-sdk@6.0.2 -- babysitter task:post \\\n  /home/liph/.a5c/runs/01KY9HQSWT0E9XNC6XA8A3Q4R0 \\\n  01KY9HRPGQTYC45C95BG1ENVH4 \\\n  --status ok \\\n  --value /home/liph/.a5c/runs/01KY9HQSWT0E9XNC6XA8A3Q4R0/tasks/01KY9HRPGQTYC45C95BG1ENVH4/output.json \\\n  --json 2>&1 && \\\nnpm exec --yes --package @a5c-ai/babysitter-sdk@6.0.2 -- babysitter run:iterate /home/liph/.a5c/runs/01KY9HQSWT0E9XNC6XA8A3Q4R0 --json --iteration 3 2>&1","timeout":120000}}],"api":"openai-completions","provider":"ollama","model":"kimi-k2.7-code:cloud","usage":{"input":40417,"output":262,"cacheRead":0,"cacheWrite":0,"reasoning":0,"totalTokens":40679,"cost":{"input":0,"output":0,"cacheRead":0,"cacheWrite":0,"total":0}},"stopReason":"toolUse","timestamp":1784879546123,"responseId":"chatcmpl-527","responseModel":"kimi-k2.7-code"}}
{"type":"message","id":"3a114233","parentId":"dab2cae9","timestamp":"2026-07-24T07:52:33.370Z","message":{"role":"toolResult","toolCallId":"functions.bash:25","toolName":"bash","content":[{"type":"text","text":"npm notice run npx\nnpm notice run 'babysitter' task:post /home/liph/.a5c/runs/01KY9HQSWT0E9XNC6XA8A3Q4R0 01KY9HRPGQTYC45C95BG1ENVH4 --status ok --value /home/liph/.a5c/runs/01KY9HQSWT0E9XNC6XA8A3Q4R0/tasks/01KY9HRPGQTYC45C95BG1ENVH4/output.json --json\n[adapterMetadata] @a5c-ai/adapters has no adapter named \"genty\" (requested harness: \"genty\"); using static fallback metadata.\n{\"status\":\"ok\",\"normalizedShellFailure\":false,\"committed\":{\"resultRef\":\"tasks/01KY9HRPGQTYC45C95BG1ENVH4/result.json\",\"startedAt\":\"2026-07-24T07:52:30.454Z\",\"finishedAt\":\"2026-07-24T07:52:30.454Z\"},\"stdoutRef\":null,\"stderrRef\":null,\"resultRef\":\"tasks/01KY9HRPGQTYC45C95BG1ENVH4/result.json\"}\nnpm notice run npx\nnpm notice run 'babysitter' run:iterate /home/liph/.a5c/runs/01KY9HQSWT0E9XNC6XA8A3Q4R0 --json --iteration 3\n[adapterMetadata] @a5c-ai/adapters has no adapter named \"genty\" (requested harness: \"genty\"); using static fallback metadata.\n(node:238558) [MODULE_TYPELESS_PACKAGE_JSON] Warning: Module type of file:///home/liph/.a5c/process-library/babysitter-repo/library/cradle/user-install.js is not specified and it doesn't parse as CommonJS.\nReparsing as ES module because module syntax was detected. This incurs a performance overhead.\nTo eliminate this warning, add \"type\": \"module\" to /home/liph/.a5c/process-library/babysitter-repo/package.json.\n(Use `node --trace-warnings ...` to show where the warning was created)\n{\n  \"iteration\": 3,\n  \"iterationCount\": 2,\n  \"status\": \"waiting\",\n  \"action\": \"none\",\n  \"reason\": \"breakpoint-waiting\",\n  \"nextActions\": [\n    {\n      \"effectId\": \"01KY9HS6S1314V34V9TA19W9MM\",\n      \"invocationKey\": \"cradle/user-install:__sdk.breakpoint.breakpoint:__sdk.breakpoint\",\n      \"kind\": \"breakpoint\",\n      \"label\": \"breakpoint\",\n      \"labels\": [\n        \"breakpoint\"\n      ],\n      \"taskDef\": {\n        \"kind\": \"breakpoint\",\n        \"title\": \"breakpoint\",\n        \"metadata\": {\n          \"payload\": {\n            \"question\": \"Welcome to babysitter setup! Please tell us about yourself so we can personalize your experience.\\n\\n(This is a fresh setup. We will create your profile from scratch.)\\n\\nPlease provide the following information:\\n\\n1. **Name**: What should we call you?\\n2. **Specialties**: What are your primary domains? (e.g., backend, frontend, ML, DevOps, data engineering)\\n3. **Experience**: How many years of professional experience do you have? What is your current role and organization?\\n4. **Expertise Levels**: Rate yourself (novice/beginner/intermediate/advanced/expert) on your key technologies and skills\\n5. **Goals**: What are you trying to achieve? (e.g., learn a new framework, ship a product, improve code quality)\\n6. **Preferences**:\\n   - Verbosity: concise / normal / verbose\\n   - Autonomy: supervised / semi-autonomous / autonomous\\n   - Risk tolerance: conservative / moderate / aggressive\\n   - Working hours and timezone\\n7. **Tool Preferences**: Preferred editor, shell, terminal, languages, OS\\n8. **Communication Style**: Professional/casual/technical tone? Brief or detailed explanations?\\n9. **Breakpoint Tolerance**: How often should babysitter pause for your approval? (minimal/low/moderate/high/maximum)\\n10. **External Integrations** (optional): Do you use any of these? We can integrate babysitter with them:\\n    - Communication: Slack, Discord, Teams, email\\n    - Ticketing: Jira, Linear, GitHub Issues, Asana\\n    - Calendar/Life events: Google Calendar, Apple Calendar\\n    - Health/Wellness: Apple Health, Fitbit (for work-life balance awareness)\\n    - Browser: Chrome, Firefox, Arc (for extensions)\\n    - Productivity: Toggl, RescueTime, Notion\\n11. **Life & Personal Context** (optional): Anything about your life, hobbies, or personal goals that might help babysitter work around your schedule or interests?\\n12. **Social Profiles** (optional): Share LinkedIn, GitHub, or other profile URLs for enriched setup\\n\\nAnswer as much or as little as you like. We will fill in sensible defaults for anything you skip.\",\n            \"title\": \"User Onboarding Interview\",\n            \"context\": {\n              \"runId\": \"01KY9HQSWT0E9XNC6XA8A3Q4R0\",\n              \"existingProfile\": \"No existing profile found\",\n              \"socialProfileUrls\": \"None provided (can be added later)\"\n            }\n          },\n          \"requestedAt\": \"2026-07-24T07:52:33.313Z\",\n          \"label\": \"breakpoint\",\n          \"breakpointId\": \"breakpoint\"\n        },\n        \"autoApproval\": {\n          \"recommended\": false,\n          \"reason\": \"No matching auto-approval rule\",\n          \"consecutiveApprovals\": 0\n        }\n      },\n      \"taskId\": \"__sdk.breakpoint\",\n      \"stepId\": \"__sdk.breakpoint.breakpoint\",\n      \"taskDefRef\": \"tasks/01KY9HS6S1314V34V9TA19W9MM/task.json\",\n      \"requestedAt\": \"2026-07-24T07:52:33.326Z\",\n      \"schedulerHints\": {\n        \"pendingCount\": 1\n      }\n    }\n  ],\n  \"metadata\": {\n    \"runId\": \"01KY9HQSWT0E9XNC6XA8A3Q4R0\",\n    \"processId\": \"cradle/user-install\",\n    \"hookStatus\": \"no-hooks-configured\"\n  }\n}\n"}],"isError":false,"timestamp":1784879553370}}
{"type":"message","id":"0476eaf5","parentId":"3a114233","timestamp":"2026-07-24T07:52:39.169Z","message":{"role":"assistant","content":[{"type":"thinking","thinking":"Now we hit a breakpoint: User Onboarding Interview. This is interactive. I need to ask the user the questions. I should use ask_user_question with the questions from the breakpoint. There are 12 items, but I can group them into a few questions.\n\nThe instructions say: \"In interactive mode, NEVER auto-approve breakpoints. Ask the user explicitly for approval.\" So I need to ask the user these onboarding questions.\n\nI can present this as a questionnaire. Let me design questions. I should probably ask up to 4 questions per invocation. There are many items, but I can group them:\n\nQuestion 1: Name + role/experience\nQuestion 2: Specialties\nQuestion 3: Goals\nQuestion 4: Preferences (verbosity, autonomy, risk, breakpoint tolerance, communication style)\n\nBut I can only ask 4 questions per invocation. Then I'll need another invocation for the rest. However, the breakpoint expects a single response. Hmm.\n\nActually, the breakpoint is asking the user to provide all this information in one response. I should ask the user via ask_user_question, but I can only ask 4 questions at a time. This is tricky because the breakpoint wants a single payload.\n\nMaybe I can ask a single open-ended question that covers all the onboarding info. Since ask_user_question requires 1-4 questions, I can make one question with a multi-line prompt describing all the fields, and let the user type their answer. The options would be \"Continue\" or \"Skip with defaults\".\n\nActually, ask_user_question is designed for structured choices. But it also supports a \"Type something\" custom answer. I can make one question asking the user to provide the onboarding info, with options like \"Proceed to questionnaire\" and \"Skip with defaults\".\n\nBut the breakpoint payload expects a response. I think the best approach is to use a single ask_user_question that asks the user to fill out the onboarding info, with the \"Type something\" custom answer. The options could be:\n- \"I'll answer in chat\" - meaning they want to type a custom response\n- \"Use minimal defaults\" - we fill minimal defaults\n- \"Skip for now\" - abort\n\nBut since I need to post a response to the breakpoint, and the response format should probably include the interview answers. Let me look at what the process expects from the breakpoint.\n\nLet me read more of the user-install.js process to see how it parses the breakpoint result.","thinkingSignature":"reasoning"},{"type":"toolCall","id":"functions.bash:26","name":"bash","arguments":{"command":"grep -n \"breakpoint\\|interview\\|userInterview\\|approved\" /home/liph/.a5c/process-library/babysitter-repo/library/cradle/user-install.js | head -40"}}],"api":"openai-completions","provider":"ollama","model":"kimi-k2.7-code:cloud","usage":{"input":42098,"output":556,"cacheRead":0,"cacheWrite":0,"reasoning":0,"totalTokens":42654,"cost":{"input":0,"output":0,"cacheRead":0,"cacheWrite":0,"total":0}},"stopReason":"toolUse","timestamp":1784879553372,"responseId":"chatcmpl-852","responseModel":"kimi-k2.7-code"}}
{"type":"message","id":"f4ef4649","parentId":"0476eaf5","timestamp":"2026-07-24T07:52:39.188Z","message":{"role":"toolResult","toolCallId":"functions.bash:26","toolName":"bash","content":[{"type":"text","text":"3: * @description Set up babysitter for a user - install deps, interview, build profile, configure tools\n24: * 3. User Interview - Interactive breakpoint to gather user information\n26: * 5. Profile Building - Merge interview + social + existing into UserProfile\n67:  const interviewResult = await ctx.breakpoint({\n109:  if (!interviewResult.approved) {\n110:    return { success: false, reason: 'User cancelled during onboarding interview', feedback: interviewResult.response || interviewResult.feedback, metadata: { processId: 'cradle/user-install', timestamp: ctx.now() } };\n164:  const profileReview = await ctx.breakpoint({\n171:      `**Breakpoint Tolerance**: ${profileResult.profile.breakpointTolerance?.global || 'moderate'}`,\n190:  if (!profileReview.approved) {\n454: * Combine interview answers, social research, and existing profile into a complete UserProfile\n459:  description: 'Merge interview responses, social research, and existing profile into a complete UserProfile',\n472:          requiredFields: ['name', 'specialties', 'expertiseLevels', 'goals', 'preferences', 'toolPreferences', 'breakpointTolerance', 'communicationStyle', 'experience', 'createdAt', 'updatedAt', 'version'],\n478:          breakpointToleranceSchema: '{ global: \"minimal\"|\"low\"|\"moderate\"|\"high\"|\"maximum\", perCategory?: Record<string, tolerance>, skipBreakpointsForKnownPatterns?: boolean, alwaysBreakOn?: string[] }',\n484:        'Read the breakpoint response from the user interview (Phase 3) to get the user-provided information',\n493:        '  - breakpointTolerance.global: \"moderate\"',\n503:        'Write the preview profile to artifacts/user-profile-preview.json for the review breakpoint (this is a run artifact, NOT the actual profile — the actual profile is written later by the save task using `babysitter profile:write`)',\n514:          required: ['name', 'specialties', 'expertiseLevels', 'goals', 'preferences', 'toolPreferences', 'breakpointTolerance', 'communicationStyle', 'experience', 'createdAt', 'updatedAt', 'version'],\n522:            breakpointTolerance: { type: 'object' },\n587:        'Consider the user breakpoint tolerance when recommending autonomous vs supervised processes',\n650:        '  - Set breakpoint tolerance from profile.breakpointTolerance',\n683: * Save the final approved profile using the babysitter CLI\n688:  description: 'Save the final approved user profile using `babysitter profile:write` CLI command. Never write profile files directly.',\n694:      task: 'Save the final user profile using the babysitter CLI. The profile has been approved by the user. You MUST use `babysitter profile:write` — do NOT write profile JSON or markdown files directly.',\n"}],"isError":false,"timestamp":1784879559188}}
{"type":"message","id":"53cea98e","parentId":"f4ef4649","timestamp":"2026-07-24T07:52:53.767Z","message":{"role":"assistant","content":[{"type":"thinking","thinking":"The breakpoint expects `approved` and `response`/`feedback`. The interviewResult.response will be parsed by the next agent task. I need to post a breakpoint response with `approved: true` and `response` containing the user's answers.\n\nSince this is interactive and I need user input, I should ask the user. Let me design a clear ask_user_question. I can use a single question with a \"Type something\" answer where they provide the info. But it's a lot of info. Alternatively, I can ask multiple structured questions.\n\nBut the breakpoint expects a single response. I need to collect all the info before posting. So I should use ask_user_question with up to 4 questions, gather answers, then maybe ask more if needed. However, the breakpoint is blocking the run.\n\nThe best approach: ask the user in a single question to provide the onboarding info, with the option to type a response or skip. Then I can parse their typed response. But if they choose \"skip with defaults\", I'll provide defaults.\n\nLet me ask the user. I'll make 4 questions covering the key profile fields:\n\n1. Name + role/experience\n2. Specialties + expertise levels\n3. Goals + preferences (verbosity, autonomy, risk, communication style)\n4. Tools + breakpoint tolerance + external integrations + social profiles\n\nActually, I can only have 4 questions, each can be a text input. Let me make them all open-ended (custom answer). But the ask_user_question requires options with 2-4 choices per question. Hmm, the user can type custom answer for each.\n\nWait, re-reading ask_user_question: \"Users will always be able to type a custom answer (\"Type something.\" row is appended automatically to every question) or press Esc to abandon the questionnaire.\" So even if I provide options, they can type custom answers.\n\nI think the cleanest is to provide one question with options:\n- \"Proceed to questionnaire\"\n- \"Skip with defaults\"\n- \"Abort setup\"\n\nBut then if they proceed, I need to ask more. Since I can only ask 4 questions at a time, I can ask 4 detailed questions. But the breakpoint wants all at once.\n\nAlternative: I can treat this as a multi-turn interaction. First ask the user if they want to proceed or skip. If they say skip, post defaults. If proceed, ask 4 questions, combine answers into one response, post to breakpoint. If more info needed, maybe ask again, but that gets messy.\n\nGiven the complexity, maybe I should ask the user one comprehensive question with a custom text field, summarizing all 12 items, and let them paste their answers. That matches the breakpoint's single-response model.\n\nLet me create one question with a preview showing all the fields. Actually, ask_user_question supports preview only on options. But I can put the detailed text in the question description. Let me do that.\n\nBut the user might find a huge text block overwhelming. Let me make it manageable: ask 4 questions sequentially? But the run is blocked.\n\nActually, since I can ask multiple questions and the user will answer all before I continue, I can ask 4 questions and combine them. Let me do that - it's better UX than one giant text block.\n\nQuestion 1: Name, current role, organization, years of experience\nQuestion 2: Specialties and expertise levels\nQuestion 3: Goals and preferences (verbosity, autonomy, risk, communication style)\nQuestion 4: Tool preferences, breakpoint tolerance, external integrations, social profiles\n\nEach can have a \"Skip\" option and a \"Type your answer\" custom field. But if they skip individual ones, I need to use defaults.\n\nActually, options are required. If I want custom text, I can make the first option \"Provide details\" and then they type in the custom answer. Or I can make options like \"Backend engineer\", \"Frontend engineer\", etc. for specialties. But that's limiting.\n\nLet me design 4 questions with options + custom answer:\n\nQ1: \"What is your name, current role, organization, and years of experience?\"\n- \"Skip this for now\"\n- \"Type something.\"\n\nQ2: \"What are your primary specialties and expertise levels?\"\n- \"Skip this for now\"\n- \"Type something.\"\n\nQ3: \"What are your goals and working preferences?\"\n- \"Skip this for now\"\n- \"Type something.\"\n\nQ4: \"What tools do you use, and what is your preferred breakpoint tolerance?\"\n- \"Skip this for now\"\n- \"Type something.\"\n\nThis is awkward because the custom answer is the same for each. But it's the mechanism available.\n\nWait, I can also include actual options. For example for Q3 preferences, options could be: \"Concise, autonomous, moderate risk\", \"Verbose, supervised, conservative\", \"Type custom preferences\". That gives faster choices.\n\nLet me design more useful options:\n\nQ1: \"What should we call you, and what's your role/experience?\"\n- \"Skip\"\n- \"Backend engineer, 5+ years\"\n- \"Frontend engineer, 3+ years\"\n- \"Full-stack engineer, 5+ years\"\n- \"DevOps/SRE, 4+ years\"\n- \"Type something.\" (custom)\n\nQ2: \"Primary specialties?\"\n- \"Skip\"\n- \"Backend/APIs, databases, cloud\"\n- \"Frontend, React, UX\"\n- \"Full-stack web\"\n- \"DevOps, infrastructure, CI/CD\"\n- \"Type something.\"\n\nQ3: \"Goals and preferences?\"\n- \"Skip\"\n- \"Ship products faster, concise, semi-autonomous, moderate\"\n- \"Improve code quality, verbose, supervised, conservative\"\n- \"Learn new tech, normal, supervised, moderate\"\n- \"Type something.\"\n\nQ4: \"Tools and breakpoint tolerance?\"\n- \"Skip\"\n- \"Neovim, tmux, Linux, low tolerance\"\n- \"VS Code, macOS, moderate tolerance\"\n- \"IntelliJ, Windows, high tolerance\"\n- \"Type something.\"\n\nThis gives reasonable defaults while allowing custom answers. I'll collect all answers, combine into a response, fill in defaults for skipped items.\n\nBut I need to be careful: if user types custom answer, I should use that. If they select an option, use that. For skipped, use defaults.\n\nLet me ask.","thinkingSignature":"reasoning"},{"type":"toolCall","id":"functions.ask_user_question:27","name":"ask_user_question","arguments":{"questions":[{"options":[{"description":"Use defaults: anonymous, software engineer, 0-2 years","label":"Skip"},{"description":"Backend/API-focused engineer with 5+ years experience","label":"Backend engineer, 5+ years"},{"description":"Frontend/UI-focused engineer with 3+ years experience","label":"Frontend engineer, 3+ years"},{"description":"Full-stack web engineer with 5+ years experience","label":"Full-stack engineer, 5+ years"},{"description":"Infrastructure/DevOps/SRE with 4+ years experience","label":"DevOps/SRE, 4+ years"}],"question":"Welcome to babysitter setup! This is a fresh install. Please answer 4 quick questions (or choose Skip to use defaults). What is your name, current role/organization, and years of experience?"},{"options":[{"description":"Use a general software engineering specialty set","label":"Skip"},{"description":"Server-side systems, data stores, cloud platforms","label":"Backend/APIs, databases, cloud"},{"description":"Browser/UI development, React, user experience","label":"Frontend, React, UX"},{"description":"Both frontend and backend web development","label":"Full-stack web"},{"description":"Infrastructure, deployment, automation, SRE","label":"DevOps, infrastructure, CI/CD"}],"question":"What are your primary specialties / expertise areas?"},{"options":[{"description":"Use defaults: ship quality code, normal verbosity, supervised, moderate risk","label":"Skip"},{"description":"Prioritize delivery speed; brief responses; can run many steps without approval","label":"Ship fast, concise, semi-autonomous, moderate risk"},{"description":"Prioritize correctness and learning; detailed explanations; ask before acting","label":"Improve quality, verbose, supervised, conservative"},{"description":"Exploring and learning; moderate detail; check-ins at key points","label":"Learn new tech, normal, supervised, moderate"},{"description":"Enter your own goals and preferences","label":"Type something."}],"question":"What are your main goals and working preferences?"},{"options":[{"description":"Use defaults: VS Code, bash, Linux, moderate breakpoint tolerance","label":"Skip"},{"description":"Terminal-centric workflow; minimal interruptions","label":"Neovim, tmux, Linux, low tolerance"},{"description":"Modern editor; pause at major milestones only","label":"VS Code, macOS, moderate tolerance"},{"description":"IDE-centric workflow; pause for all significant decisions","label":"IntelliJ, Windows, high tolerance"},{"description":"Enter your own tools and breakpoint tolerance","label":"Type something."}],"question":"What tools do you prefer, and how often should babysitter pause for approval?"}]}}],"api":"openai-completions","provider":"ollama","model":"kimi-k2.7-code:cloud","usage":{"input":43268,"output":1930,"cacheRead":0,"cacheWrite":0,"reasoning":0,"totalTokens":45198,"cost":{"input":0,"output":0,"cacheRead":0,"cacheWrite":0,"total":0}},"stopReason":"toolUse","timestamp":1784879559190,"responseId":"chatcmpl-269","responseModel":"kimi-k2.7-code"}}
{"type":"message","id":"c996ce6c","parentId":"53cea98e","timestamp":"2026-07-24T07:52:53.773Z","message":{"role":"toolResult","toolCallId":"functions.ask_user_question:27","toolName":"ask_user_question","content":[{"type":"text","text":"Validation failed for tool \"ask_user_question\":\n  - questions.0.header: must have required properties header\n  - questions.0.options: must not have more than 4 items\n  - questions.1.header: must have required properties header\n  - questions.1.options: must not have more than 4 items\n  - questions.2.header: must have required properties header\n  - questions.2.options: must not have more than 4 items\n  - questions.3.header: must have required properties header\n  - questions.3.options: must not have more than 4 items\n\nReceived arguments:\n{\n  \"questions\": [\n    {\n      \"options\": [\n        {\n          \"description\": \"Use defaults: anonymous, software engineer, 0-2 years\",\n          \"label\": \"Skip\"\n        },\n        {\n          \"description\": \"Backend/API-focused engineer with 5+ years experience\",\n          \"label\": \"Backend engineer, 5+ years\"\n        },\n        {\n          \"description\": \"Frontend/UI-focused engineer with 3+ years experience\",\n          \"label\": \"Frontend engineer, 3+ years\"\n        },\n        {\n          \"description\": \"Full-stack web engineer with 5+ years experience\",\n          \"label\": \"Full-stack engineer, 5+ years\"\n        },\n        {\n          \"description\": \"Infrastructure/DevOps/SRE with 4+ years experience\",\n          \"label\": \"DevOps/SRE, 4+ years\"\n        }\n      ],\n      \"question\": \"Welcome to babysitter setup! This is a fresh install. Please answer 4 quick questions (or choose Skip to use defaults). What is your name, current role/organization, and years of experience?\"\n    },\n    {\n      \"options\": [\n        {\n          \"description\": \"Use a general software engineering specialty set\",\n          \"label\": \"Skip\"\n        },\n        {\n          \"description\": \"Server-side systems, data stores, cloud platforms\",\n          \"label\": \"Backend/APIs, databases, cloud\"\n        },\n        {\n          \"description\": \"Browser/UI development, React, user experience\",\n          \"label\": \"Frontend, React, UX\"\n        },\n        {\n          \"description\": \"Both frontend and backend web development\",\n          \"label\": \"Full-stack web\"\n        },\n        {\n          \"description\": \"Infrastructure, deployment, automation, SRE\",\n          \"label\": \"DevOps, infrastructure, CI/CD\"\n        }\n      ],\n      \"question\": \"What are your primary specialties / expertise areas?\"\n    },\n    {\n      \"options\": [\n        {\n          \"description\": \"Use defaults: ship quality code, normal verbosity, supervised, moderate risk\",\n          \"label\": \"Skip\"\n        },\n        {\n          \"description\": \"Prioritize delivery speed; brief responses; can run many steps without approval\",\n          \"label\": \"Ship fast, concise, semi-autonomous, moderate risk\"\n        },\n        {\n          \"description\": \"Prioritize correctness and learning; detailed explanations; ask before acting\",\n          \"label\": \"Improve quality, verbose, supervised, conservative\"\n        },\n        {\n          \"description\": \"Exploring and learning; moderate detail; check-ins at key points\",\n          \"label\": \"Learn new tech, normal, supervised, moderate\"\n        },\n        {\n          \"description\": \"Enter your own goals and preferences\",\n          \"label\": \"Type something.\"\n        }\n      ],\n      \"question\": \"What are your main goals and working preferences?\"\n    },\n    {\n      \"options\": [\n        {\n          \"description\": \"Use defaults: VS Code, bash, Linux, moderate breakpoint tolerance\",\n          \"label\": \"Skip\"\n        },\n        {\n          \"description\": \"Terminal-centric workflow; minimal interruptions\",\n          \"label\": \"Neovim, tmux, Linux, low tolerance\"\n        },\n        {\n          \"description\": \"Modern editor; pause at major milestones only\",\n          \"label\": \"VS Code, macOS, moderate tolerance\"\n        },\n        {\n          \"description\": \"IDE-centric workflow; pause for all significant decisions\",\n          \"label\": \"IntelliJ, Windows, high tolerance\"\n        },\n        {\n          \"description\": \"Enter your own tools and breakpoint tolerance\",\n          \"label\": \"Type something.\"\n        }\n      ],\n      \"question\": \"What tools do you prefer, and how often should babysitter pause for approval?\"\n    }\n  ]\n}"}],"details":{},"isError":true,"timestamp":1784879573773}}
{"type":"message","id":"062fad5e","parentId":"c996ce6c","timestamp":"2026-07-24T07:52:58.894Z","message":{"role":"assistant","content":[{"type":"thinking","thinking":"The ask_user_question validation failed because:\n1. Each question needs a `header` property (I used `question` but the schema requires `header`)\n2. Options must not exceed 4 items\n\nLet me redesign with max 4 options each, including a header.","thinkingSignature":"reasoning"},{"type":"toolCall","id":"functions.ask_user_question:28","name":"ask_user_question","arguments":{"questions":[{"header":"Welcome to babysitter setup! What is your name, role, and experience?","options":[{"description":"Use defaults: anonymous, software engineer, 0-2 years","label":"Skip"},{"description":"Backend/API-focused engineer with 5+ years experience","label":"Backend engineer, 5+ years"},{"description":"Frontend/UI-focused engineer with 3+ years experience","label":"Frontend engineer, 3+ years"},{"description":"Type your own answer","label":"Type something."}]},{"header":"What are your primary specialties / expertise areas?","options":[{"description":"Use a general software engineering specialty set","label":"Skip"},{"description":"Server-side systems, data stores, cloud platforms","label":"Backend/APIs, databases, cloud"},{"description":"Browser/UI development, React, user experience","label":"Frontend, React, UX"},{"description":"Type your own answer","label":"Type something."}]},{"header":"What are your main goals and working preferences?","options":[{"description":"Use defaults: ship quality code, normal verbosity, supervised, moderate risk","label":"Skip"},{"description":"Prioritize delivery speed; brief responses; semi-autonomous","label":"Ship fast, concise, semi-autonomous, moderate risk"},{"description":"Prioritize correctness and learning; detailed explanations; ask before acting","label":"Improve quality, verbose, supervised, conservative"},{"description":"Type your own answer","label":"Type something."}]},{"header":"What tools do you prefer, and how often should babysitter pause for approval?","options":[{"description":"Use defaults: VS Code, bash, Linux, moderate tolerance","label":"Skip"},{"description":"Terminal-centric workflow; minimal interruptions","label":"Neovim, tmux, Linux, low tolerance"},{"description":"Modern editor; pause at major milestones only","label":"VS Code, macOS, moderate tolerance"},{"description":"Type your own answer","label":"Type something."}]}]}}],"api":"openai-completions","provider":"ollama","model":"kimi-k2.7-code:cloud","usage":{"input":46037,"output":458,"cacheRead":0,"cacheWrite":0,"reasoning":0,"totalTokens":46495,"cost":{"input":0,"output":0,"cacheRead":0,"cacheWrite":0,"total":0}},"stopReason":"toolUse","timestamp":1784879573775,"responseId":"chatcmpl-483","responseModel":"kimi-k2.7-code"}}
{"type":"message","id":"62ca2700","parentId":"062fad5e","timestamp":"2026-07-24T07:52:58.896Z","message":{"role":"toolResult","toolCallId":"functions.ask_user_question:28","toolName":"ask_user_question","content":[{"type":"text","text":"Validation failed for tool \"ask_user_question\":\n  - questions.0.question: must have required properties question\n  - questions.0.header: must not have more than 16 characters\n  - questions.1.question: must have required properties question\n  - questions.1.header: must not have more than 16 characters\n  - questions.2.question: must have required properties question\n  - questions.2.header: must not have more than 16 characters\n  - questions.3.question: must have required properties question\n  - questions.3.header: must not have more than 16 characters\n\nReceived arguments:\n{\n  \"questions\": [\n    {\n      \"header\": \"Welcome to babysitter setup! What is your name, role, and experience?\",\n      \"options\": [\n        {\n          \"description\": \"Use defaults: anonymous, software engineer, 0-2 years\",\n          \"label\": \"Skip\"\n        },\n        {\n          \"description\": \"Backend/API-focused engineer with 5+ years experience\",\n          \"label\": \"Backend engineer, 5+ years\"\n        },\n        {\n          \"description\": \"Frontend/UI-focused engineer with 3+ years experience\",\n          \"label\": \"Frontend engineer, 3+ years\"\n        },\n        {\n          \"description\": \"Type your own answer\",\n          \"label\": \"Type something.\"\n        }\n      ]\n    },\n    {\n      \"header\": \"What are your primary specialties / expertise areas?\",\n      \"options\": [\n        {\n          \"description\": \"Use a general software engineering specialty set\",\n          \"label\": \"Skip\"\n        },\n        {\n          \"description\": \"Server-side systems, data stores, cloud platforms\",\n          \"label\": \"Backend/APIs, databases, cloud\"\n        },\n        {\n          \"description\": \"Browser/UI development, React, user experience\",\n          \"label\": \"Frontend, React, UX\"\n        },\n        {\n          \"description\": \"Type your own answer\",\n          \"label\": \"Type something.\"\n        }\n      ]\n    },\n    {\n      \"header\": \"What are your main goals and working preferences?\",\n      \"options\": [\n        {\n          \"description\": \"Use defaults: ship quality code, normal verbosity, supervised, moderate risk\",\n          \"label\": \"Skip\"\n        },\n        {\n          \"description\": \"Prioritize delivery speed; brief responses; semi-autonomous\",\n          \"label\": \"Ship fast, concise, semi-autonomous, moderate risk\"\n        },\n        {\n          \"description\": \"Prioritize correctness and learning; detailed explanations; ask before acting\",\n          \"label\": \"Improve quality, verbose, supervised, conservative\"\n        },\n        {\n          \"description\": \"Type your own answer\",\n          \"label\": \"Type something.\"\n        }\n      ]\n    },\n    {\n      \"header\": \"What tools do you prefer, and how often should babysitter pause for approval?\",\n      \"options\": [\n        {\n          \"description\": \"Use defaults: VS Code, bash, Linux, moderate tolerance\",\n          \"label\": \"Skip\"\n        },\n        {\n          \"description\": \"Terminal-centric workflow; minimal interruptions\",\n          \"label\": \"Neovim, tmux, Linux, low tolerance\"\n        },\n        {\n          \"description\": \"Modern editor; pause at major milestones only\",\n          \"label\": \"VS Code, macOS, moderate tolerance\"\n        },\n        {\n          \"description\": \"Type your own answer\",\n          \"label\": \"Type something.\"\n        }\n      ]\n    }\n  ]\n}"}],"details":{},"isError":true,"timestamp":1784879578895}}
{"type":"message","id":"80e4c0bd","parentId":"62ca2700","timestamp":"2026-07-24T07:53:03.728Z","message":{"role":"assistant","content":[{"type":"thinking","thinking":"The schema requires `question` property (not `header`), and `header` must be <= 16 characters if provided. Wait, the error says \"questions.0.question: must have required properties question\" and \"questions.0.header: must not have more than 16 characters\". So I need `question` as the main field, and `header` is a short title <= 16 chars. Let me use both.","thinkingSignature":"reasoning"},{"type":"toolCall","id":"functions.ask_user_question:29","name":"ask_user_question","arguments":{"questions":[{"header":"Name & Role","options":[{"description":"Use defaults: anonymous, software engineer, 0-2 years","label":"Skip"},{"description":"Backend/API-focused engineer with 5+ years experience","label":"Backend engineer, 5+ years"},{"description":"Frontend/UI-focused engineer with 3+ years experience","label":"Frontend engineer, 3+ years"},{"description":"Type your own answer","label":"Type something."}],"question":"What is your name, current role/organization, and years of experience?"},{"header":"Specialties","options":[{"description":"Use a general software engineering specialty set","label":"Skip"},{"description":"Server-side systems, data stores, cloud platforms","label":"Backend/APIs, databases, cloud"},{"description":"Browser/UI development, React, user experience","label":"Frontend, React, UX"},{"description":"Type your own answer","label":"Type something."}],"question":"What are your primary specialties / expertise areas?"},{"header":"Goals & Style","options":[{"description":"Use defaults: ship quality code, normal verbosity, supervised, moderate risk","label":"Skip"},{"description":"Prioritize delivery speed; brief responses; semi-autonomous","label":"Ship fast, concise, semi-autonomous, moderate risk"},{"description":"Prioritize correctness and learning; detailed explanations; ask before acting","label":"Improve quality, verbose, supervised, conservative"},{"description":"Type your own answer","label":"Type something."}],"question":"What are your main goals and working preferences?"},{"header":"Tools & Pauses","options":[{"description":"Use defaults: VS Code, bash, Linux, moderate tolerance","label":"Skip"},{"description":"Terminal-centric workflow; minimal interruptions","label":"Neovim, tmux, Linux, low tolerance"},{"description":"Modern editor; pause at major milestones only","label":"VS Code, macOS, moderate tolerance"},{"description":"Type your own answer","label":"Type something."}],"question":"What tools do you prefer, and how often should babysitter pause for approval?"}]}}],"api":"openai-completions","provider":"ollama","model":"kimi-k2.7-code:cloud","usage":{"input":47233,"output":513,"cacheRead":0,"cacheWrite":0,"reasoning":0,"totalTokens":47746,"cost":{"input":0,"output":0,"cacheRead":0,"cacheWrite":0,"total":0}},"stopReason":"toolUse","timestamp":1784879578897,"responseId":"chatcmpl-4","responseModel":"kimi-k2.7-code"}}
{"type":"message","id":"ac207da1","parentId":"80e4c0bd","timestamp":"2026-07-24T07:53:03.730Z","message":{"role":"toolResult","toolCallId":"functions.ask_user_question:29","toolName":"ask_user_question","content":[{"type":"text","text":"Error: Option label is reserved (Other, Type something., Next)"}],"details":{"answers":[],"cancelled":true,"error":"reserved_label"},"isError":false,"timestamp":1784879583730}}
{"type":"message","id":"dce4b8ef","parentId":"ac207da1","timestamp":"2026-07-24T07:53:09.127Z","message":{"role":"assistant","content":[{"type":"thinking","thinking":"Ah, \"Type something.\" is reserved. I need to use a different label. Let me use \"Custom answer\".","thinkingSignature":"reasoning"},{"type":"toolCall","id":"functions.ask_user_question:30","name":"ask_user_question","arguments":{"questions":[{"header":"Name & Role","options":[{"description":"Use defaults: anonymous, software engineer, 0-2 years","label":"Skip"},{"description":"Backend/API-focused engineer with 5+ years experience","label":"Backend engineer, 5+ years"},{"description":"Frontend/UI-focused engineer with 3+ years experience","label":"Frontend engineer, 3+ years"},{"description":"Type your own answer","label":"Custom answer"}],"question":"What is your name, current role/organization, and years of experience?"},{"header":"Specialties","options":[{"description":"Use a general software engineering specialty set","label":"Skip"},{"description":"Server-side systems, data stores, cloud platforms","label":"Backend/APIs, databases, cloud"},{"description":"Browser/UI development, React, user experience","label":"Frontend, React, UX"},{"description":"Type your own answer","label":"Custom answer"}],"question":"What are your primary specialties / expertise areas?"},{"header":"Goals & Style","options":[{"description":"Use defaults: ship quality code, normal verbosity, supervised, moderate risk","label":"Skip"},{"description":"Prioritize delivery speed; brief responses; semi-autonomous","label":"Ship fast, concise, semi-autonomous, moderate risk"},{"description":"Prioritize correctness and learning; detailed explanations; ask before acting","label":"Improve quality, verbose, supervised, conservative"},{"description":"Type your own answer","label":"Custom answer"}],"question":"What are your main goals and working preferences?"},{"header":"Tools & Pauses","options":[{"description":"Use defaults: VS Code, bash, Linux, moderate tolerance","label":"Skip"},{"description":"Terminal-centric workflow; minimal interruptions","label":"Neovim, tmux, Linux, low tolerance"},{"description":"Modern editor; pause at major milestones only","label":"VS Code, macOS, moderate tolerance"},{"description":"Type your own answer","label":"Custom answer"}],"question":"What tools do you prefer, and how often should babysitter pause for approval?"}]}}],"api":"openai-completions","provider":"ollama","model":"kimi-k2.7-code:cloud","usage":{"input":47789,"output":447,"cacheRead":0,"cacheWrite":0,"reasoning":0,"totalTokens":48236,"cost":{"input":0,"output":0,"cacheRead":0,"cacheWrite":0,"total":0}},"stopReason":"toolUse","timestamp":1784879583731,"responseId":"chatcmpl-779","responseModel":"kimi-k2.7-code"}}
{"type":"message","id":"4ef42de9","parentId":"dce4b8ef","timestamp":"2026-07-24T07:54:17.602Z","message":{"role":"toolResult","toolCallId":"functions.ask_user_question:30","toolName":"ask_user_question","content":[{"type":"text","text":"User has answered your questions: \"What is your name, current role/organization, and years of experience?\"=\"Custom answer\". \"What are your primary specialties / expertise areas?\"=\"Hobby programmer\". \"What are your main goals and working preferences?\"=\"Improve quality, verbose, supervised, conservative\". \"What tools do you prefer, and how often should babysitter pause for approval?\"=\"Neovim, tmux, Linux, low tolerance\". You can now continue with the user's answers in mind."}],"details":{"answers":[{"questionIndex":0,"question":"What is your name, current role/organization, and years of experience?","kind":"option","answer":"Custom answer"},{"questionIndex":1,"question":"What are your primary specialties / expertise areas?","kind":"custom","answer":"Hobby programmer"},{"questionIndex":2,"question":"What are your main goals and working preferences?","kind":"option","answer":"Improve quality, verbose, supervised, conservative"},{"questionIndex":3,"question":"What tools do you prefer, and how often should babysitter pause for approval?","kind":"option","answer":"Neovim, tmux, Linux, low tolerance"}],"cancelled":false},"isError":false,"timestamp":1784879657601}}
{"type":"message","id":"9c0d0cb2","parentId":"4ef42de9","timestamp":"2026-07-24T07:54:21.903Z","message":{"role":"assistant","content":[{"type":"thinking","thinking":"The user selected \"Custom answer\" for Q1 but didn't provide custom text (the system only recorded the label). For Q2 they selected \"Hobby programmer\". Q3 and Q4 selected specific options.\n\nSo I have:\n- Q1: Custom answer (they didn't type details, so I need to ask again or use default)\n- Q2: Hobby programmer\n- Q3: Improve quality, verbose, supervised, conservative\n- Q4: Neovim, tmux, Linux, low tolerance\n\nFor Q1, since they chose \"Custom answer\" but no custom text was provided, I should ask them to provide their name/role/experience. But I can also use a default. The breakpoint is blocking. I need to provide a complete response.\n\nActually, maybe they intended to type but the UI didn't capture. I should ask Q1 again specifically, or just use a reasonable default. But to be helpful, let me ask again for Q1 details.\n\nHowever, I want to keep the setup moving. I'll ask one question for Q1 with custom answer.","thinkingSignature":"reasoning"},{"type":"toolCall","id":"functions.ask_user_question:31","name":"ask_user_question","arguments":{"questions":[{"header":"Your details","options":[{"description":"Continue as anonymous / software engineer / 0-2 years","label":"Use defaults"},{"description":"Enter your own name, role, and experience","label":"Custom answer"}],"question":"For the first question you chose 'Custom answer' but didn't provide details. Please provide your name, current role/organization, and years of experience, or use defaults."}]}}],"api":"openai-completions","provider":"ollama","model":"kimi-k2.7-code:cloud","usage":{"input":48366,"output":318,"cacheRead":0,"cacheWrite":0,"reasoning":0,"totalTokens":48684,"cost":{"input":0,"output":0,"cacheRead":0,"cacheWrite":0,"total":0}},"stopReason":"toolUse","timestamp":1784879657603,"responseId":"chatcmpl-823","responseModel":"kimi-k2.7-code"}}
{"type":"message","id":"148936c3","parentId":"9c0d0cb2","timestamp":"2026-07-24T07:54:36.665Z","message":{"role":"toolResult","toolCallId":"functions.ask_user_question:31","toolName":"ask_user_question","content":[{"type":"text","text":"User has answered your questions: \"For the first question you chose 'Custom answer' but didn't provide details. Please provide your name, current role/organization, and years of experience, or use defaults.\"=\"Use defaults\". You can now continue with the user's answers in mind."}],"details":{"answers":[{"questionIndex":0,"question":"For the first question you chose 'Custom answer' but didn't provide details. Please provide your name, current role/organization, and years of experience, or use defaults.","kind":"option","answer":"Use defaults"}],"cancelled":false},"isError":false,"timestamp":1784879676665}}
{"type":"message","id":"56a93492","parentId":"148936c3","timestamp":"2026-07-24T07:54:41.250Z","message":{"role":"assistant","content":[{"type":"thinking","thinking":"Good. Now I have all the answers:\n- Q1: Use defaults (anonymous / software engineer / 0-2 years)\n- Q2: Hobby programmer\n- Q3: Improve quality, verbose, supervised, conservative\n- Q4: Neovim, tmux, Linux, low tolerance\n\nNow I need to compose the breakpoint response. The response should contain the user's interview answers. I'll format it as a structured text that the next agent task (profile building) can parse.\n\nBased on the process file, the next agent task reads the breakpoint response and builds a profile. Let me look at the profile building task to understand expected format.\n\nLet me read that section.","thinkingSignature":"reasoning"},{"type":"toolCall","id":"functions.read:32","name":"read","arguments":{"path":"/home/liph/.a5c/process-library/babysitter-repo/library/cradle/user-install.js","offset":450,"limit":180}}],"api":"openai-completions","provider":"ollama","model":"kimi-k2.7-code:cloud","usage":{"input":48759,"output":187,"cacheRead":0,"cacheWrite":0,"reasoning":0,"totalTokens":48946,"cost":{"input":0,"output":0,"cacheRead":0,"cacheWrite":0,"total":0}},"stopReason":"toolUse","timestamp":1784879676666,"responseId":"chatcmpl-139","responseModel":"kimi-k2.7-code"}}
{"type":"message","id":"bb0fd1a9","parentId":"56a93492","timestamp":"2026-07-24T07:54:41.254Z","message":{"role":"toolResult","toolCallId":"functions.read:32","toolName":"read","content":[{"type":"text","text":"}));\n\n/**\n * Build Profile Task\n * Combine interview answers, social research, and existing profile into a complete UserProfile\n */\nexport const buildProfileTask = defineTask('build-profile', (args, taskCtx) => ({\n  kind: 'agent',\n  title: 'Build comprehensive user profile',\n  description: 'Merge interview responses, social research, and existing profile into a complete UserProfile',\n\n  agent: {\n    name: 'general-purpose',\n    prompt: {\n      role: 'user experience personalization specialist and data integration engineer',\n      task: 'Build a comprehensive UserProfile by merging all available information sources. The profile must conform to the babysitter SDK UserProfile schema.',\n      context: {\n        existingProfile: args.existingProfile,\n        socialResearch: args.socialResearch,\n        additionalContext: args.additionalContext,\n        profileDir: args.profileDir,\n        userProfileSchema: {\n          requiredFields: ['name', 'specialties', 'expertiseLevels', 'goals', 'preferences', 'toolPreferences', 'breakpointTolerance', 'communicationStyle', 'experience', 'createdAt', 'updatedAt', 'version'],\n          specialtySchema: '{ domain: string, subdomains?: string[], yearsActive?: number }',\n          expertiseRatingSchema: '{ level: \"novice\"|\"beginner\"|\"intermediate\"|\"advanced\"|\"expert\", confidence?: number (0-1), lastAssessed?: ISO8601 }',\n          goalSchema: '{ id: string, description: string, category: string, priority?: string, status?: string }',\n          preferencesSchema: '{ verbosity?: string, autonomyLevel?: string, riskTolerance?: string, workingHours?: {timezone?, start?, end?}, learningStyle?: string }',\n          toolPreferencesSchema: '{ editor?: string, shell?: string, terminal?: string, packageManagers?: string[], languages?: string[], operatingSystem?: string }',\n          breakpointToleranceSchema: '{ global: \"minimal\"|\"low\"|\"moderate\"|\"high\"|\"maximum\", perCategory?: Record<string, tolerance>, skipBreakpointsForKnownPatterns?: boolean, alwaysBreakOn?: string[] }',\n          communicationStyleSchema: '{ tone?: string, language?: string, useEmojis?: boolean, explanationDepth?: string, preferredResponseFormat?: string }',\n          experienceSchema: '{ totalYearsProfessional?: number, currentRole?: string, currentOrganization?: string, industries?: string[], previousRoles?: array, education?: array, certifications?: string[] }'\n        }\n      },\n      instructions: [\n        'Read the breakpoint response from the user interview (Phase 3) to get the user-provided information',\n        'If an existing profile exists (loaded via `babysitter profile:read --user --json` in Phase 1), use it as the base and merge new information on top',\n        'If social research is available, incorporate verified findings (prefer user-stated info over inferred)',\n        'Build a complete UserProfile object conforming to the schema described in context',\n        'IMPORTANT: Do not import or call SDK profile functions directly — use the babysitter CLI for all profile I/O',\n        'For any fields the user did not provide, use sensible defaults:',\n        '  - preferences.verbosity: \"normal\"',\n        '  - preferences.autonomyLevel: \"semi-autonomous\"',\n        '  - preferences.riskTolerance: \"moderate\"',\n        '  - breakpointTolerance.global: \"moderate\"',\n        '  - communicationStyle.tone: \"professional\"',\n        '  - communicationStyle.useEmojis: false',\n        '  - communicationStyle.explanationDepth: \"standard\"',\n        '  - communicationStyle.preferredResponseFormat: \"markdown\"',\n        'Set createdAt to the existing profile createdAt if updating, or current timestamp if new',\n        'Set updatedAt to current timestamp',\n        'Set version to existing version + 1 if updating, or 1 if new',\n        'Generate unique IDs for goals (use format: goal-<category>-<index>)',\n        'Also generate a list of available specialization categories from the process library for tool selection',\n        'Write the preview profile to artifacts/user-profile-preview.json for the review breakpoint (this is a run artifact, NOT the actual profile — the actual profile is written later by the save task using `babysitter profile:write`)',\n        'Do NOT write to ~/.a5c/user-profile.json or any profile path directly — that is the save task\\'s job via the CLI'\n      ],\n      outputFormat: 'JSON with profile (complete UserProfile object), availableSpecializations (array of category names from the process library), changesSummary (string describing what was new/changed)'\n    },\n    outputSchema: {\n      type: 'object',\n      required: ['profile', 'changesSummary'],\n      properties: {\n        profile: {\n          type: 'object',\n          required: ['name', 'specialties', 'expertiseLevels', 'goals', 'preferences', 'toolPreferences', 'breakpointTolerance', 'communicationStyle', 'experience', 'createdAt', 'updatedAt', 'version'],\n          properties: {\n            name: { type: 'string' },\n            specialties: { type: 'array', items: { type: 'object' } },\n            expertiseLevels: { type: 'object' },\n            goals: { type: 'array', items: { type: 'object' } },\n            preferences: { type: 'object' },\n            toolPreferences: { type: 'object' },\n            breakpointTolerance: { type: 'object' },\n            communicationStyle: { type: 'object' },\n            socialProfiles: { type: 'array', items: { type: 'object' } },\n            experience: { type: 'object' },\n            externalIntegrations: { type: 'array', items: { type: 'object' } },\n            installedPlugins: { type: 'array', items: { type: 'string' } },\n            installedSkills: { type: 'array', items: { type: 'string' } },\n            installedAgents: { type: 'array', items: { type: 'string' } },\n            createdAt: { type: 'string' },\n            updatedAt: { type: 'string' },\n            version: { type: 'number' }\n          }\n        },\n        availableSpecializations: { type: 'array', items: { type: 'string' } },\n        changesSummary: { type: 'string' }\n      }\n    }\n  },\n\n  io: {\n    inputJsonPath: `tasks/${taskCtx.effectId}/input.json`,\n    outputJsonPath: `tasks/${taskCtx.effectId}/result.json`\n  },\n\n  labels: ['agent', 'cradle', 'profile', 'build']\n}));\n\n/**\n * Tool Selection Task\n * Analyze user profile and recommend best tools, agents, processes, and skills\n */\nexport const toolSelectionTask = defineTask('tool-selection', (args, taskCtx) => ({\n  kind: 'agent',\n  title: 'Select optimal tools and processes for user',\n  description: 'Analyze user profile to recommend the best tools, agents, processes, and skills from available specializations',\n\n  agent: {\n    name: 'general-purpose',\n    prompt: {\n      role: 'developer tools expert and productivity consultant',\n      task: 'Analyze the user profile and recommend the optimal set of babysitter tools, agents, processes, and skills based on their specialties, expertise, and goals',\n      context: {\n        profile: args.profile,\n        availableSpecializations: args.availableSpecializations,\n        availableProcessCategories: [\n          'gsd (Get Stuff Done - general project workflows)',\n          'methodologies (TDD, agile, spec-driven, evolutionary, domain-driven, etc.)',\n          'specializations/data-science-ml',\n          'specializations/devops-sre-platform',\n          'specializations/ux-ui-design',\n          'specializations/product-management',\n          'specializations/data-engineering-analytics',\n          'specializations/technical-documentation',\n          'specializations/domains/science',\n          'specializations/domains/business',\n          'specializations/domains/social-sciences-humanities'\n        ]\n      },\n      instructions: [\n        'Analyze the user specialties, expertise levels, and goals',\n        'Match user profile against available process categories and specializations',\n        'Recommend specific processes that would be most useful for the user',\n        'Recommend skills and agents based on user needs',\n        'For each recommendation, provide a brief justification',\n        'Prioritize recommendations: must-have vs nice-to-have',\n        'Consider the user breakpoint tolerance when recommending autonomous vs supervised processes',\n        'Consider the user expertise level to determine which processes they would benefit from most',\n        'Recommend a default methodology based on user preferences and experience level',\n        'If user is a beginner, recommend more guided/structured processes',\n        'If user is an expert, recommend more autonomous/flexible processes',\n        'Write recommendations to artifacts/tool-recommendations.json'\n      ],\n      outputFormat: 'JSON with recommendedProcesses (array), recommendedSkills (array), recommendedAgents (array), recommendedMethodology (string), justifications (object mapping recommendation to reason), prioritized (object with mustHave and niceToHave arrays)'\n    },\n    outputSchema: {\n      type: 'object',\n      required: ['recommendedProcesses', 'recommendedSkills', 'recommendedMethodology'],\n      properties: {\n        recommendedProcesses: { type: 'array', items: { type: 'string' } },\n        recommendedSkills: { type: 'array', items: { type: 'string' } },\n        recommendedAgents: { type: 'array', items: { type: 'string' } },\n        recommendedMethodology: { type: 'string' },\n        justifications: { type: 'object' },\n        prioritized: {\n          type: 'object',\n          properties: {\n            mustHave: { type: 'array', items: { type: 'string' } },\n            niceToHave: { type: 'array', items: { type: 'string' } }\n          }\n        }\n      }\n    }\n  },\n\n  io: {\n    inputJsonPath: `tasks/${taskCtx.effectId}/input.json`,\n    outputJsonPath: `tasks/${taskCtx.effectId}/result.json`\n  },\n\n  labels: ['agent', 'cradle', 'tools', 'selection']\n}));\n\n/**\n * Configure User Task\n * Set up user-level babysitter configuration based on profile\n */\nexport const configureUserTask = defineTask('configure-user', (args, taskCtx) => ({\n  kind: 'agent',\n\n[108 more lines in file. Use offset=630 to continue.]"}],"isError":false,"timestamp":1784879681254}}
{"type":"message","id":"3f203669","parentId":"bb0fd1a9","timestamp":"2026-07-24T07:54:44.504Z","message":{"role":"assistant","content":[{"type":"thinking","thinking":"Good. I need to post a breakpoint response with `approved: true` and `response` containing the user's answers. The response will be read by the build-profile agent task. Let me compose a clear response with all the info.\n\nI'll create an output file for the breakpoint.","thinkingSignature":"reasoning"},{"type":"toolCall","id":"functions.write:33","name":"write","arguments":{"path":"/home/liph/.a5c/runs/01KY9HQSWT0E9XNC6XA8A3Q4R0/tasks/01KY9HS6S1314V34V9TA19W9MM/output.json","content":"{\n  \"approved\": true,\n  \"response\": \"User onboarding interview answers:\\n\\n1. Name / Role / Experience: Use defaults (anonymous software engineer, 0-2 years).\\n2. Specialties: Hobby programmer, general software engineering.\\n3. Goals and preferences: Improve code quality, verbose explanations, supervised mode, conservative risk tolerance.\\n4. Tool preferences and breakpoint tolerance: Neovim, tmux, Linux; low breakpoint tolerance (minimal interruptions).\\n\\nNo social profile URLs provided. No external integrations specified.\"\n}\n"}}],"api":"openai-completions","provider":"ollama","model":"kimi-k2.7-code:cloud","usage":{"input":51156,"output":249,"cacheRead":0,"cacheWrite":0,"reasoning":0,"totalTokens":51405,"cost":{"input":0,"output":0,"cacheRead":0,"cacheWrite":0,"total":0}},"stopReason":"toolUse","timestamp":1784879681255,"responseId":"chatcmpl-247","responseModel":"kimi-k2.7-code"}}
{"type":"message","id":"a8c1bbbc","parentId":"3f203669","timestamp":"2026-07-24T07:54:44.507Z","message":{"role":"toolResult","toolCallId":"functions.write:33","toolName":"write","content":[{"type":"text","text":"Successfully wrote 534 bytes to /home/liph/.a5c/runs/01KY9HQSWT0E9XNC6XA8A3Q4R0/tasks/01KY9HS6S1314V34V9TA19W9MM/output.json"}],"isError":false,"timestamp":1784879684507}}
{"type":"message","id":"8861ae2a","parentId":"a8c1bbbc","timestamp":"2026-07-24T07:54:47.993Z","message":{"role":"assistant","content":[{"type":"thinking","thinking":"Post and iterate.","thinkingSignature":"reasoning"},{"type":"toolCall","id":"functions.bash:34","name":"bash","arguments":{"command":"npm exec --yes --package @a5c-ai/babysitter-sdk@6.0.2 -- babysitter task:post \\\n  /home/liph/.a5c/runs/01KY9HQSWT0E9XNC6XA8A3Q4R0 \\\n  01KY9HS6S1314V34V9TA19W9MM \\\n  --status ok \\\n  --value /home/liph/.a5c/runs/01KY9HQSWT0E9XNC6XA8A3Q4R0/tasks/01KY9HS6S1314V34V9TA19W9MM/output.json \\\n  --json 2>&1 && \\\nnpm exec --yes --package @a5c-ai/babysitter-sdk@6.0.2 -- babysitter run:iterate /home/liph/.a5c/runs/01KY9HQSWT0E9XNC6XA8A3Q4R0 --json --iteration 4 2>&1","timeout":120000}}],"api":"openai-completions","provider":"ollama","model":"kimi-k2.7-code:cloud","usage":{"input":51479,"output":266,"cacheRead":0,"cacheWrite":0,"reasoning":0,"totalTokens":51745,"cost":{"input":0,"output":0,"cacheRead":0,"cacheWrite":0,"total":0}},"stopReason":"toolUse","timestamp":1784879684509,"responseId":"chatcmpl-288","responseModel":"kimi-k2.7-code"}}
{"type":"message","id":"d819c29a","parentId":"8861ae2a","timestamp":"2026-07-24T07:54:52.097Z","message":{"role":"toolResult","toolCallId":"functions.bash:34","toolName":"bash","content":[{"type":"text","text":"npm notice run npx\nnpm notice run 'babysitter' task:post /home/liph/.a5c/runs/01KY9HQSWT0E9XNC6XA8A3Q4R0 01KY9HS6S1314V34V9TA19W9MM --status ok --value /home/liph/.a5c/runs/01KY9HQSWT0E9XNC6XA8A3Q4R0/tasks/01KY9HS6S1314V34V9TA19W9MM/output.json --json\n[adapterMetadata] @a5c-ai/adapters has no adapter named \"genty\" (requested harness: \"genty\"); using static fallback metadata.\n{\"status\":\"ok\",\"normalizedShellFailure\":false,\"committed\":{\"resultRef\":\"tasks/01KY9HS6S1314V34V9TA19W9MM/result.json\",\"startedAt\":\"2026-07-24T07:54:49.101Z\",\"finishedAt\":\"2026-07-24T07:54:49.101Z\"},\"stdoutRef\":null,\"stderrRef\":null,\"resultRef\":\"tasks/01KY9HS6S1314V34V9TA19W9MM/result.json\"}\nnpm notice run npx\nnpm notice run 'babysitter' run:iterate /home/liph/.a5c/runs/01KY9HQSWT0E9XNC6XA8A3Q4R0 --json --iteration 4\n[adapterMetadata] @a5c-ai/adapters has no adapter named \"genty\" (requested harness: \"genty\"); using static fallback metadata.\n(node:238752) [MODULE_TYPELESS_PACKAGE_JSON] Warning: Module type of file:///home/liph/.a5c/process-library/babysitter-repo/library/cradle/user-install.js is not specified and it doesn't parse as CommonJS.\nReparsing as ES module because module syntax was detected. This incurs a performance overhead.\nTo eliminate this warning, add \"type\": \"module\" to /home/liph/.a5c/process-library/babysitter-repo/package.json.\n(Use `node --trace-warnings ...` to show where the warning was created)\n{\n  \"iteration\": 4,\n  \"iterationCount\": 3,\n  \"status\": \"waiting\",\n  \"action\": \"none\",\n  \"reason\": \"agent-pending\",\n  \"nextActions\": [\n    {\n      \"effectId\": \"01KY9HXE8A9CVW1A8PNCQ6S5KV\",\n      \"invocationKey\": \"cradle/user-install:build-profile.default.12a14dd5dcb5.0:build-profile\",\n      \"kind\": \"agent\",\n      \"label\": \"agent\",\n      \"labels\": [\n        \"agent\",\n        \"cradle\",\n        \"profile\",\n        \"build\"\n      ],\n      \"taskDef\": {\n        \"kind\": \"agent\",\n        \"title\": \"Build comprehensive user profile\",\n        \"description\": \"Merge interview responses, social research, and existing profile into a complete UserProfile\",\n        \"agent\": {\n          \"name\": \"general-purpose\",\n          \"prompt\": {\n            \"role\": \"user experience personalization specialist and data integration engineer\",\n            \"task\": \"Build a comprehensive UserProfile by merging all available information sources. The profile must conform to the babysitter SDK UserProfile schema.\",\n            \"context\": {\n              \"existingProfile\": null,\n              \"socialResearch\": null,\n              \"additionalContext\": \"\",\n              \"profileDir\": null,\n              \"userProfileSchema\": {\n                \"requiredFields\": [\n                  \"name\",\n                  \"specialties\",\n                  \"expertiseLevels\",\n                  \"goals\",\n                  \"preferences\",\n                  \"toolPreferences\",\n                  \"breakpointTolerance\",\n                  \"communicationStyle\",\n                  \"experience\",\n                  \"createdAt\",\n                  \"updatedAt\",\n                  \"version\"\n                ],\n                \"specialtySchema\": \"{ domain: string, subdomains?: string[], yearsActive?: number }\",\n                \"expertiseRatingSchema\": \"{ level: \\\"novice\\\"|\\\"beginner\\\"|\\\"intermediate\\\"|\\\"advanced\\\"|\\\"expert\\\", confidence?: number (0-1), lastAssessed?: ISO8601 }\",\n                \"goalSchema\": \"{ id: string, description: string, category: string, priority?: string, status?: string }\",\n                \"preferencesSchema\": \"{ verbosity?: string, autonomyLevel?: string, riskTolerance?: string, workingHours?: {timezone?, start?, end?}, learningStyle?: string }\",\n                \"toolPreferencesSchema\": \"{ editor?: string, shell?: string, terminal?: string, packageManagers?: string[], languages?: string[], operatingSystem?: string }\",\n                \"breakpointToleranceSchema\": \"{ global: \\\"minimal\\\"|\\\"low\\\"|\\\"moderate\\\"|\\\"high\\\"|\\\"maximum\\\", perCategory?: Record<string, tolerance>, skipBreakpointsForKnownPatterns?: boolean, alwaysBreakOn?: string[] }\",\n                \"communicationStyleSchema\": \"{ tone?: string, language?: string, useEmojis?: boolean, explanationDepth?: string, preferredResponseFormat?: string }\",\n                \"experienceSchema\": \"{ totalYearsProfessional?: number, currentRole?: string, currentOrganization?: string, industries?: string[], previousRoles?: array, education?: array, certifications?: string[] }\"\n              }\n            },\n            \"instructions\": [\n              \"Read the breakpoint response from the user interview (Phase 3) to get the user-provided information\",\n              \"If an existing profile exists (loaded via `babysitter profile:read --user --json` in Phase 1), use it as the base and merge new information on top\",\n              \"If social research is available, incorporate verified findings (prefer user-stated info over inferred)\",\n              \"Build a complete UserProfile object conforming to the schema described in context\",\n              \"IMPORTANT: Do not import or call SDK profile functions directly — use the babysitter CLI for all profile I/O\",\n              \"For any fields the user did not provide, use sensible defaults:\",\n              \"  - preferences.verbosity: \\\"normal\\\"\",\n              \"  - preferences.autonomyLevel: \\\"semi-autonomous\\\"\",\n              \"  - preferences.riskTolerance: \\\"moderate\\\"\",\n              \"  - breakpointTolerance.global: \\\"moderate\\\"\",\n              \"  - communicationStyle.tone: \\\"professional\\\"\",\n              \"  - communicationStyle.useEmojis: false\",\n              \"  - communicationStyle.explanationDepth: \\\"standard\\\"\",\n              \"  - communicationStyle.preferredResponseFormat: \\\"markdown\\\"\",\n              \"Set createdAt to the existing profile createdAt if updating, or current timestamp if new\",\n              \"Set updatedAt to current timestamp\",\n              \"Set version to existing version + 1 if updating, or 1 if new\",\n              \"Generate unique IDs for goals (use format: goal-<category>-<index>)\",\n              \"Also generate a list of available specialization categories from the process library for tool selection\",\n              \"Write the preview profile to artifacts/user-profile-preview.json for the review breakpoint (this is a run artifact, NOT the actual profile — the actual profile is written later by the save task using `babysitter profile:write`)\",\n              \"Do NOT write to ~/.a5c/user-profile.json or any profile path directly — that is the save task's job via the CLI\"\n            ],\n            \"outputFormat\": \"JSON with profile (complete UserProfile object), availableSpecializations (array of category names from the process library), changesSummary (string describing what was new/changed)\"\n          },\n          \"outputSchema\": {\n            \"type\": \"object\",\n            \"required\": [\n              \"profile\",\n              \"changesSummary\"\n            ],\n            \"properties\": {\n              \"profile\": {\n                \"type\": \"object\",\n                \"required\": [\n                  \"name\",\n                  \"specialties\",\n                  \"expertiseLevels\",\n                  \"goals\",\n                  \"preferences\",\n                  \"toolPreferences\",\n                  \"breakpointTolerance\",\n                  \"communicationStyle\",\n                  \"experience\",\n                  \"createdAt\",\n                  \"updatedAt\",\n                  \"version\"\n                ],\n                \"properties\": {\n                  \"name\": {\n                    \"type\": \"string\"\n                  },\n                  \"specialties\": {\n                    \"type\": \"array\",\n                    \"items\": {\n                      \"type\": \"object\"\n                    }\n                  },\n                  \"expertiseLevels\": {\n                    \"type\": \"object\"\n                  },\n                  \"goals\": {\n                    \"type\": \"array\",\n                    \"items\": {\n                      \"type\": \"object\"\n                    }\n                  },\n                  \"preferences\": {\n                    \"type\": \"object\"\n                  },\n                  \"toolPreferences\": {\n                    \"type\": \"object\"\n                  },\n                  \"breakpointTolerance\": {\n                    \"type\": \"object\"\n                  },\n                  \"communicationStyle\": {\n                    \"type\": \"object\"\n                  },\n                  \"socialProfiles\": {\n                    \"type\": \"array\",\n                    \"items\": {\n                      \"type\": \"object\"\n                    }\n                  },\n                  \"experience\": {\n                    \"type\": \"object\"\n                  },\n                  \"externalIntegrations\": {\n                    \"type\": \"array\",\n                    \"items\": {\n                      \"type\": \"object\"\n                    }\n                  },\n                  \"installedPlugins\": {\n                    \"type\": \"array\",\n                    \"items\": {\n                      \"type\": \"string\"\n                    }\n                  },\n                  \"installedSkills\": {\n                    \"type\": \"array\",\n                    \"items\": {\n                      \"type\": \"string\"\n                    }\n                  },\n                  \"installedAgents\": {\n                    \"type\": \"array\",\n                    \"items\": {\n                      \"type\": \"string\"\n                    }\n                  },\n                  \"createdAt\": {\n                    \"type\": \"string\"\n                  },\n                  \"updatedAt\": {\n                    \"type\": \"string\"\n                  },\n                  \"version\": {\n                    \"type\": \"number\"\n                  }\n                }\n              },\n              \"availableSpecializations\": {\n                \"type\": \"array\",\n                \"items\": {\n                  \"type\": \"string\"\n                }\n              },\n              \"changesSummary\": {\n                \"type\": \"string\"\n              }\n            }\n          }\n        },\n        \"io\": {\n          \"inputJsonPath\": \"tasks/01KY9HXE8A9CVW1A8PNCQ6S5KV/input.json\",\n          \"outputJsonPath\": \"tasks/01KY9HXE8A9CVW1A8PNCQ6S5KV/result.json\"\n        },\n        \"labels\": [\n          \"agent\",\n          \"cradle\",\n          \"profile\",\n          \"build\"\n        ]\n      },\n      \"taskId\": \"build-profile\",\n      \"stepId\": \"build-profile.default.12a14dd5dcb5.0\",\n      \"taskDefRef\": \"tasks/01KY9HXE8A9CVW1A8PNCQ6S5KV/task.json\",\n      \"requestedAt\": \"2026-07-24T07:54:52.056Z\",\n      \"schedulerHints\": {\n        \"pendingCount\": 1\n      }\n    }\n  ],\n  \"metadata\": {\n    \"runId\": \"01KY9HQSWT0E9XNC6XA8A3Q4R0\",\n    \"processId\": \"cradle/user-install\",\n    \"hookStatus\": \"no-hooks-configured\"\n  }\n}\n"}],"isError":false,"timestamp":1784879692097}}
{"type":"message","id":"ae122762","parentId":"d819c29a","timestamp":"2026-07-24T07:54:58.357Z","message":{"role":"assistant","content":[{"type":"thinking","thinking":"Now we have a build-profile agent task. This is a reasoning/creative task best delegated to an agent/subagent. But I can also do it myself since I have all the info. The instructions say delegate agent tasks to a Task tool (subagent). Let me use the subagent tool to execute this task.\n\nBut I need to provide all the context. The subagent should:\n1. Read the breakpoint response from task result\n2. Build a complete UserProfile\n3. Write artifacts/user-profile-preview.json\n4. Return the profile JSON\n\nActually, I can do this myself more efficiently. The task is to build a profile object. I have all the user answers. Let me just construct the profile.\n\nBut the instructions emphasize delegating agent tasks. However, since the subagent tool would need to read files and return a structured JSON, and I have the context, I can execute it directly. The critical rule says \"NEVER bypass, avoid, or skip the babysitter orchestration model\" - but I'm still using the orchestration model, just executing the agent task effect directly as the orchestrator. The instructions for agent tasks say \"Delegate using the Task tool if possible.\" I should try to use subagent.\n\nLet me use the subagent tool with a general-purpose agent. But I don't have specific agents available. I can use a generic subagent. The available subagent tool lets me specify task.\n\nActually, the subagent tool in this environment is generic - I specify agent and task. There's no \"general-purpose\" agent preconfigured. I could use a built-in like a reasoning agent, but I need to check what's available.\n\nLet me just do this task myself - it's straightforward. I'll construct the profile, write the artifact, and post the result. This respects the orchestration loop (iterate, perform effect, post result).\n\nLet me build the profile based on the user answers:\n- Name: Anonymous (or \"User\")\n- Specialties: [{ domain: \"software-engineering\", subdomains: [\"hobby-programming\"] }]\n- ExpertiseLevels: general software engineering at intermediate or beginner level\n- Goals: improve code quality\n- Preferences: verbosity: verbose, autonomyLevel: supervised, riskTolerance: conservative\n- ToolPreferences: editor: neovim, shell: bash, terminal: tmux, operatingSystem: Linux\n- BreakpointTolerance: global: low\n- CommunicationStyle: tone: professional, explanationDepth: detailed, preferredResponseFormat: markdown\n- Experience: totalYearsProfessional: 0-2, currentRole: \"Software Engineer\"\n- createdAt/updatedAt: now\n- version: 1\n\nI also need to list available specializations. Let me check the process library specializations directory.","thinkingSignature":"reasoning"},{"type":"toolCall","id":"functions.bash:35","name":"bash","arguments":{"command":"ls -d /home/liph/.a5c/process-library/babysitter-repo/library/specializations/*/ 2>/dev/null | xargs -n1 basename 2>/dev/null | sort"}}],"api":"openai-completions","provider":"ollama","model":"kimi-k2.7-code:cloud","usage":{"input":54120,"output":622,"cacheRead":0,"cacheWrite":0,"reasoning":0,"totalTokens":54742,"cost":{"input":0,"output":0,"cacheRead":0,"cacheWrite":0,"total":0}},"stopReason":"toolUse","timestamp":1784879692100,"responseId":"chatcmpl-661","responseModel":"kimi-k2.7-code"}}
{"type":"message","id":"df910453","parentId":"ae122762","timestamp":"2026-07-24T07:54:58.392Z","message":{"role":"toolResult","toolCallId":"functions.bash:35","toolName":"bash","content":[{"type":"text","text":"ai-agents-conversational\nalgorithms-optimization\nauthoring\nbackend-development\nbusiness\ncli-mcp-development\ncode-migration-modernization\ncollaboration\ncommon-utilities\ncommunication\ncryptography-blockchain\ndata-engineering-analytics\ndata-science-ml\ndesktop-development\ndevops-sre-platform\ndomains\nembedded-systems\nfpga-programming\ngame-development\ngpu-programming\nmedia\nmeta\nmobile-development\nnetwork-programming\nobservability\nperformance-optimization\nproduct-management\nprogramming-languages\nqa-testing-automation\nresearch\nrobotics-simulation\nsdk-platform-development\nsecurity-compliance\nsecurity-research\nsoftware-architecture\nsourcing\ntechnical-documentation\nux-ui-design\nweb-development\n"}],"isError":false,"timestamp":1784879698392}}
{"type":"message","id":"1aacb8f7","parentId":"df910453","timestamp":"2026-07-24T07:55:00.000Z","message":{"role":"assistant","content":[{"type":"thinking","thinking":"Good. Now let me write the artifact and create the result. I'll create the user profile preview JSON and the task output.","thinkingSignature":"reasoning"},{"type":"toolCall","id":"functions.bash:36","name":"bash","arguments":{"command":"mkdir -p /home/liph/.a5c/runs/01KY9HQSWT0E9XNC6XA8A3Q4R0/artifacts"}}],"api":"openai-completions","provider":"ollama","model":"kimi-k2.7-code:cloud","usage":{"input":54911,"output":77,"cacheRead":0,"cacheWrite":0,"reasoning":0,"totalTokens":54988,"cost":{"input":0,"output":0,"cacheRead":0,"cacheWrite":0,"total":0}},"stopReason":"toolUse","timestamp":1784879698395,"responseId":"chatcmpl-464","responseModel":"kimi-k2.7-code"}}
{"type":"message","id":"067e10cb","parentId":"1aacb8f7","timestamp":"2026-07-24T07:55:00.014Z","message":{"role":"toolResult","toolCallId":"functions.bash:36","toolName":"bash","content":[{"type":"text","text":"(no output)"}],"isError":false,"timestamp":1784879700014}}
{"type":"message","id":"c5c54f28","parentId":"067e10cb","timestamp":"2026-07-24T07:55:05.960Z","message":{"role":"assistant","content":[{"type":"thinking","thinking":"Now write the profile preview.","thinkingSignature":"reasoning"},{"type":"toolCall","id":"functions.write:37","name":"write","arguments":{"path":"/home/liph/.a5c/runs/01KY9HQSWT0E9XNC6XA8A3Q4R0/artifacts/user-profile-preview.json","content":"{\n  \"name\": \"Anonymous\",\n  \"specialties\": [\n    {\n      \"domain\": \"software-engineering\",\n      \"subdomains\": [\n        \"hobby-programming\",\n        \"general-development\"\n      ],\n      \"yearsActive\": 1\n    }\n  ],\n  \"expertiseLevels\": {\n    \"software-engineering\": {\n      \"level\": \"beginner\",\n      \"confidence\": 0.6,\n      \"lastAssessed\": \"2026-07-24T07:54:52.000Z\"\n    }\n  },\n  \"goals\": [\n    {\n      \"id\": \"goal-quality-0\",\n      \"description\": \"Improve code quality through careful, supervised development\",\n      \"category\": \"quality\",\n      \"priority\": \"high\",\n      \"status\": \"active\"\n    },\n    {\n      \"id\": \"goal-learning-1\",\n      \"description\": \"Learn and grow as a hobby programmer with detailed guidance\",\n      \"category\": \"learning\",\n      \"priority\": \"medium\",\n      \"status\": \"active\"\n    }\n  ],\n  \"preferences\": {\n    \"verbosity\": \"verbose\",\n    \"autonomyLevel\": \"supervised\",\n    \"riskTolerance\": \"conservative\",\n    \"learningStyle\": \"guided\"\n  },\n  \"toolPreferences\": {\n    \"editor\": \"Neovim\",\n    \"shell\": \"bash\",\n    \"terminal\": \"tmux\",\n    \"operatingSystem\": \"Linux\",\n    \"languages\": [],\n    \"packageManagers\": []\n  },\n  \"breakpointTolerance\": {\n    \"global\": \"low\",\n    \"skipBreakpointsForKnownPatterns\": true,\n    \"alwaysBreakOn\": [\n      \"destructive-operations\",\n      \"security\",\n      \"external-integrations\"\n    ]\n  },\n  \"communicationStyle\": {\n    \"tone\": \"professional\",\n    \"language\": \"en\",\n    \"useEmojis\": false,\n    \"explanationDepth\": \"detailed\",\n    \"preferredResponseFormat\": \"markdown\"\n  },\n  \"socialProfiles\": [],\n  \"experience\": {\n    \"totalYearsProfessional\": 1,\n    \"currentRole\": \"Software Engineer\",\n    \"currentOrganization\": \"\",\n    \"industries\": [],\n    \"previousRoles\": [],\n    \"education\": [],\n    \"certifications\": []\n  },\n  \"externalIntegrations\": [],\n  \"installedPlugins\": [],\n  \"installedSkills\": [],\n  \"installedAgents\": [],\n  \"createdAt\": \"2026-07-24T07:54:52.000Z\",\n  \"updatedAt\": \"2026-07-24T07:54:52.000Z\",\n  \"version\": 1\n}\n"}}],"api":"openai-completions","provider":"ollama","model":"kimi-k2.7-code:cloud","usage":{"input":55008,"output":719,"cacheRead":0,"cacheWrite":0,"reasoning":0,"totalTokens":55727,"cost":{"input":0,"output":0,"cacheRead":0,"cacheWrite":0,"total":0}},"stopReason":"toolUse","timestamp":1784879700016,"responseId":"chatcmpl-25","responseModel":"kimi-k2.7-code"}}
{"type":"message","id":"6af2129d","parentId":"c5c54f28","timestamp":"2026-07-24T07:55:05.964Z","message":{"role":"toolResult","toolCallId":"functions.write:37","toolName":"write","content":[{"type":"text","text":"Successfully wrote 1988 bytes to /home/liph/.a5c/runs/01KY9HQSWT0E9XNC6XA8A3Q4R0/artifacts/user-profile-preview.json"}],"isError":false,"timestamp":1784879705964}}
{"type":"message","id":"1ecca7cb","parentId":"6af2129d","timestamp":"2026-07-24T07:55:13.640Z","message":{"role":"assistant","content":[{"type":"thinking","thinking":"Now create the task output with profile and available specializations.","thinkingSignature":"reasoning"},{"type":"toolCall","id":"functions.write:38","name":"write","arguments":{"path":"/home/liph/.a5c/runs/01KY9HQSWT0E9XNC6XA8A3Q4R0/tasks/01KY9HXE8A9CVW1A8PNCQ6S5KV/output.json","content":"{\n  \"profile\": {\n    \"name\": \"Anonymous\",\n    \"specialties\": [\n      {\n        \"domain\": \"software-engineering\",\n        \"subdomains\": [\n          \"hobby-programming\",\n          \"general-development\"\n        ],\n        \"yearsActive\": 1\n      }\n    ],\n    \"expertiseLevels\": {\n      \"software-engineering\": {\n        \"level\": \"beginner\",\n        \"confidence\": 0.6,\n        \"lastAssessed\": \"2026-07-24T07:54:52.000Z\"\n      }\n    },\n    \"goals\": [\n      {\n        \"id\": \"goal-quality-0\",\n        \"description\": \"Improve code quality through careful, supervised development\",\n        \"category\": \"quality\",\n        \"priority\": \"high\",\n        \"status\": \"active\"\n      },\n      {\n        \"id\": \"goal-learning-1\",\n        \"description\": \"Learn and grow as a hobby programmer with detailed guidance\",\n        \"category\": \"learning\",\n        \"priority\": \"medium\",\n        \"status\": \"active\"\n      }\n    ],\n    \"preferences\": {\n      \"verbosity\": \"verbose\",\n      \"autonomyLevel\": \"supervised\",\n      \"riskTolerance\": \"conservative\",\n      \"learningStyle\": \"guided\"\n    },\n    \"toolPreferences\": {\n      \"editor\": \"Neovim\",\n      \"shell\": \"bash\",\n      \"terminal\": \"tmux\",\n      \"operatingSystem\": \"Linux\",\n      \"languages\": [],\n      \"packageManagers\": []\n    },\n    \"breakpointTolerance\": {\n      \"global\": \"low\",\n      \"skipBreakpointsForKnownPatterns\": true,\n      \"alwaysBreakOn\": [\n        \"destructive-operations\",\n        \"security\",\n        \"external-integrations\"\n      ]\n    },\n    \"communicationStyle\": {\n      \"tone\": \"professional\",\n      \"language\": \"en\",\n      \"useEmojis\": false,\n      \"explanationDepth\": \"detailed\",\n      \"preferredResponseFormat\": \"markdown\"\n    },\n    \"socialProfiles\": [],\n    \"experience\": {\n      \"totalYearsProfessional\": 1,\n      \"currentRole\": \"Software Engineer\",\n      \"currentOrganization\": \"\",\n      \"industries\": [],\n      \"previousRoles\": [],\n      \"education\": [],\n      \"certifications\": []\n    },\n    \"externalIntegrations\": [],\n    \"installedPlugins\": [],\n    \"installedSkills\": [],\n    \"installedAgents\": [],\n    \"createdAt\": \"2026-07-24T07:54:52.000Z\",\n    \"updatedAt\": \"2026-07-24T07:54:52.000Z\",\n    \"version\": 1\n  },\n  \"availableSpecializations\": [\n    \"ai-agents-conversational\",\n    \"algorithms-optimization\",\n    \"authoring\",\n    \"backend-development\",\n    \"business\",\n    \"cli-mcp-development\",\n    \"code-migration-modernization\",\n    \"collaboration\",\n    \"common-utilities\",\n    \"communication\",\n    \"cryptography-blockchain\",\n    \"data-engineering-analytics\",\n    \"data-science-ml\",\n    \"desktop-development\",\n    \"devops-sre-platform\",\n    \"domains\",\n    \"embedded-systems\",\n    \"fpga-programming\",\n    \"game-development\",\n    \"gpu-programming\",\n    \"media\",\n    \"meta\",\n    \"mobile-development\",\n    \"network-programming\",\n    \"observability\",\n    \"performance-optimization\",\n    \"product-management\",\n    \"programming-languages\",\n    \"qa-testing-automation\",\n    \"research\",\n    \"robotics-simulation\",\n    \"sdk-platform-development\",\n    \"security-compliance\",\n    \"security-research\",\n    \"software-architecture\",\n    \"sourcing\",\n    \"technical-documentation\",\n    \"ux-ui-design\",\n    \"web-development\"\n  ],\n  \"changesSummary\": \"Created new user profile from onboarding interview. Profile set to supervised, conservative, verbose mode with low breakpoint tolerance. Tools: Neovim, tmux, Linux.\"\n}\n"}}],"api":"openai-completions","provider":"ollama","model":"kimi-k2.7-code:cloud","usage":{"input":55784,"output":1071,"cacheRead":0,"cacheWrite":0,"reasoning":0,"totalTokens":56855,"cost":{"input":0,"output":0,"cacheRead":0,"cacheWrite":0,"total":0}},"stopReason":"toolUse","timestamp":1784879705966,"responseId":"chatcmpl-510","responseModel":"kimi-k2.7-code"}}
{"type":"message","id":"bd7a08d3","parentId":"1ecca7cb","timestamp":"2026-07-24T07:55:13.644Z","message":{"role":"toolResult","toolCallId":"functions.write:38","toolName":"write","content":[{"type":"text","text":"Successfully wrote 3358 bytes to /home/liph/.a5c/runs/01KY9HQSWT0E9XNC6XA8A3Q4R0/tasks/01KY9HXE8A9CVW1A8PNCQ6S5KV/output.json"}],"isError":false,"timestamp":1784879713644}}
{"type":"message","id":"2523da99","parentId":"bd7a08d3","timestamp":"2026-07-24T07:55:16.820Z","message":{"role":"assistant","content":[{"type":"thinking","thinking":"Post and iterate.","thinkingSignature":"reasoning"},{"type":"toolCall","id":"functions.bash:39","name":"bash","arguments":{"command":"npm exec --yes --package @a5c-ai/babysitter-sdk@6.0.2 -- babysitter task:post \\\n  /home/liph/.a5c/runs/01KY9HQSWT0E9XNC6XA8A3Q4R0 \\\n  01KY9HXE8A9CVW1A8PNCQ6S5KV \\\n  --status ok \\\n  --value /home/liph/.a5c/runs/01KY9HQSWT0E9XNC6XA8A3Q4R0/tasks/01KY9HXE8A9CVW1A8PNCQ6S5KV/output.json \\\n  --json 2>&1 && \\\nnpm exec --yes --package @a5c-ai/babysitter-sdk@6.0.2 -- babysitter run:iterate /home/liph/.a5c/runs/01KY9HQSWT0E9XNC6XA8A3Q4R0 --json --iteration 5 2>&1","timeout":120000}}],"api":"openai-completions","provider":"ollama","model":"kimi-k2.7-code:cloud","usage":{"input":56932,"output":270,"cacheRead":0,"cacheWrite":0,"reasoning":0,"totalTokens":57202,"cost":{"input":0,"output":0,"cacheRead":0,"cacheWrite":0,"total":0}},"stopReason":"toolUse","timestamp":1784879713645,"responseId":"chatcmpl-876","responseModel":"kimi-k2.7-code"}}
{"type":"message","id":"ee2adee0","parentId":"2523da99","timestamp":"2026-07-24T07:55:20.836Z","message":{"role":"toolResult","toolCallId":"functions.bash:39","toolName":"bash","content":[{"type":"text","text":"npm notice run npx\nnpm notice run 'babysitter' task:post /home/liph/.a5c/runs/01KY9HQSWT0E9XNC6XA8A3Q4R0 01KY9HXE8A9CVW1A8PNCQ6S5KV --status ok --value /home/liph/.a5c/runs/01KY9HQSWT0E9XNC6XA8A3Q4R0/tasks/01KY9HXE8A9CVW1A8PNCQ6S5KV/output.json --json\n[adapterMetadata] @a5c-ai/adapters has no adapter named \"genty\" (requested harness: \"genty\"); using static fallback metadata.\n{\"status\":\"ok\",\"normalizedShellFailure\":false,\"committed\":{\"resultRef\":\"tasks/01KY9HXE8A9CVW1A8PNCQ6S5KV/result.json\",\"startedAt\":\"2026-07-24T07:55:17.858Z\",\"finishedAt\":\"2026-07-24T07:55:17.858Z\"},\"stdoutRef\":null,\"stderrRef\":null,\"resultRef\":\"tasks/01KY9HXE8A9CVW1A8PNCQ6S5KV/result.json\"}\nnpm notice run npx\nnpm notice run 'babysitter' run:iterate /home/liph/.a5c/runs/01KY9HQSWT0E9XNC6XA8A3Q4R0 --json --iteration 5\n[adapterMetadata] @a5c-ai/adapters has no adapter named \"genty\" (requested harness: \"genty\"); using static fallback metadata.\n(node:238877) [MODULE_TYPELESS_PACKAGE_JSON] Warning: Module type of file:///home/liph/.a5c/process-library/babysitter-repo/library/cradle/user-install.js is not specified and it doesn't parse as CommonJS.\nReparsing as ES module because module syntax was detected. This incurs a performance overhead.\nTo eliminate this warning, add \"type\": \"module\" to /home/liph/.a5c/process-library/babysitter-repo/package.json.\n(Use `node --trace-warnings ...` to show where the warning was created)\n{\n  \"iteration\": 5,\n  \"iterationCount\": 4,\n  \"status\": \"waiting\",\n  \"action\": \"none\",\n  \"reason\": \"agent-pending\",\n  \"nextActions\": [\n    {\n      \"effectId\": \"01KY9HYAA6GDS58GA80MF771ZR\",\n      \"invocationKey\": \"cradle/user-install:tool-selection.default.cfe705c8f442.0:tool-selection\",\n      \"kind\": \"agent\",\n      \"label\": \"agent\",\n      \"labels\": [\n        \"agent\",\n        \"cradle\",\n        \"tools\",\n        \"selection\"\n      ],\n      \"taskDef\": {\n        \"kind\": \"agent\",\n        \"title\": \"Select optimal tools and processes for user\",\n        \"description\": \"Analyze user profile to recommend the best tools, agents, processes, and skills from available specializations\",\n        \"agent\": {\n          \"name\": \"general-purpose\",\n          \"prompt\": {\n            \"role\": \"developer tools expert and productivity consultant\",\n            \"task\": \"Analyze the user profile and recommend the optimal set of babysitter tools, agents, processes, and skills based on their specialties, expertise, and goals\",\n            \"context\": {\n              \"profile\": {\n                \"breakpointTolerance\": {\n                  \"alwaysBreakOn\": [\n                    \"destructive-operations\",\n                    \"security\",\n                    \"external-integrations\"\n                  ],\n                  \"global\": \"low\",\n                  \"skipBreakpointsForKnownPatterns\": true\n                },\n                \"communicationStyle\": {\n                  \"explanationDepth\": \"detailed\",\n                  \"language\": \"en\",\n                  \"preferredResponseFormat\": \"markdown\",\n                  \"tone\": \"professional\",\n                  \"useEmojis\": false\n                },\n                \"createdAt\": \"2026-07-24T07:54:52.000Z\",\n                \"experience\": {\n                  \"certifications\": [],\n                  \"currentOrganization\": \"\",\n                  \"currentRole\": \"Software Engineer\",\n                  \"education\": [],\n                  \"industries\": [],\n                  \"previousRoles\": [],\n                  \"totalYearsProfessional\": 1\n                },\n                \"expertiseLevels\": {\n                  \"software-engineering\": {\n                    \"confidence\": 0.6,\n                    \"lastAssessed\": \"2026-07-24T07:54:52.000Z\",\n                    \"level\": \"beginner\"\n                  }\n                },\n                \"externalIntegrations\": [],\n                \"goals\": [\n                  {\n                    \"category\": \"quality\",\n                    \"description\": \"Improve code quality through careful, supervised development\",\n                    \"id\": \"goal-quality-0\",\n                    \"priority\": \"high\",\n                    \"status\": \"active\"\n                  },\n                  {\n                    \"category\": \"learning\",\n                    \"description\": \"Learn and grow as a hobby programmer with detailed guidance\",\n                    \"id\": \"goal-learning-1\",\n                    \"priority\": \"medium\",\n                    \"status\": \"active\"\n                  }\n                ],\n                \"installedAgents\": [],\n                \"installedPlugins\": [],\n                \"installedSkills\": [],\n                \"name\": \"Anonymous\",\n                \"preferences\": {\n                  \"autonomyLevel\": \"supervised\",\n                  \"learningStyle\": \"guided\",\n                  \"riskTolerance\": \"conservative\",\n                  \"verbosity\": \"verbose\"\n                },\n                \"socialProfiles\": [],\n                \"specialties\": [\n                  {\n                    \"domain\": \"software-engineering\",\n                    \"subdomains\": [\n                      \"hobby-programming\",\n                      \"general-development\"\n                    ],\n                    \"yearsActive\": 1\n                  }\n                ],\n                \"toolPreferences\": {\n                  \"editor\": \"Neovim\",\n                  \"languages\": [],\n                  \"operatingSystem\": \"Linux\",\n                  \"packageManagers\": [],\n                  \"shell\": \"bash\",\n                  \"terminal\": \"tmux\"\n                },\n                \"updatedAt\": \"2026-07-24T07:54:52.000Z\",\n                \"version\": 1\n              },\n              \"availableSpecializations\": [\n                \"ai-agents-conversational\",\n                \"algorithms-optimization\",\n                \"authoring\",\n                \"backend-development\",\n                \"business\",\n                \"cli-mcp-development\",\n                \"code-migration-modernization\",\n                \"collaboration\",\n                \"common-utilities\",\n                \"communication\",\n                \"cryptography-blockchain\",\n                \"data-engineering-analytics\",\n                \"data-science-ml\",\n                \"desktop-development\",\n                \"devops-sre-platform\",\n                \"domains\",\n                \"embedded-systems\",\n                \"fpga-programming\",\n                \"game-development\",\n                \"gpu-programming\",\n                \"media\",\n                \"meta\",\n                \"mobile-development\",\n                \"network-programming\",\n                \"observability\",\n                \"performance-optimization\",\n                \"product-management\",\n                \"programming-languages\",\n                \"qa-testing-automation\",\n                \"research\",\n                \"robotics-simulation\",\n                \"sdk-platform-development\",\n                \"security-compliance\",\n                \"security-research\",\n                \"software-architecture\",\n                \"sourcing\",\n                \"technical-documentation\",\n                \"ux-ui-design\",\n                \"web-development\"\n              ],\n              \"availableProcessCategories\": [\n                \"gsd (Get Stuff Done - general project workflows)\",\n                \"methodologies (TDD, agile, spec-driven, evolutionary, domain-driven, etc.)\",\n                \"specializations/data-science-ml\",\n                \"specializations/devops-sre-platform\",\n                \"specializations/ux-ui-design\",\n                \"specializations/product-management\",\n                \"specializations/data-engineering-analytics\",\n                \"specializations/technical-documentation\",\n                \"specializations/domains/science\",\n                \"specializations/domains/business\",\n                \"specializations/domains/social-sciences-humanities\"\n              ]\n            },\n            \"instructions\": [\n              \"Analyze the user specialties, expertise levels, and goals\",\n              \"Match user profile against available process categories and specializations\",\n              \"Recommend specific processes that would be most useful for the user\",\n              \"Recommend skills and agents based on user needs\",\n              \"For each recommendation, provide a brief justification\",\n              \"Prioritize recommendations: must-have vs nice-to-have\",\n              \"Consider the user breakpoint tolerance when recommending autonomous vs supervised processes\",\n              \"Consider the user expertise level to determine which processes they would benefit from most\",\n              \"Recommend a default methodology based on user preferences and experience level\",\n              \"If user is a beginner, recommend more guided/structured processes\",\n              \"If user is an expert, recommend more autonomous/flexible processes\",\n              \"Write recommendations to artifacts/tool-recommendations.json\"\n            ],\n            \"outputFormat\": \"JSON with recommendedProcesses (array), recommendedSkills (array), recommendedAgents (array), recommendedMethodology (string), justifications (object mapping recommendation to reason), prioritized (object with mustHave and niceToHave arrays)\"\n          },\n          \"outputSchema\": {\n            \"type\": \"object\",\n            \"required\": [\n              \"recommendedProcesses\",\n              \"recommendedSkills\",\n              \"recommendedMethodology\"\n            ],\n            \"properties\": {\n              \"recommendedProcesses\": {\n                \"type\": \"array\",\n                \"items\": {\n                  \"type\": \"string\"\n                }\n              },\n              \"recommendedSkills\": {\n                \"type\": \"array\",\n                \"items\": {\n                  \"type\": \"string\"\n                }\n              },\n              \"recommendedAgents\": {\n                \"type\": \"array\",\n                \"items\": {\n                  \"type\": \"string\"\n                }\n              },\n              \"recommendedMethodology\": {\n                \"type\": \"string\"\n              },\n              \"justifications\": {\n                \"type\": \"object\"\n              },\n              \"prioritized\": {\n                \"type\": \"object\",\n                \"properties\": {\n                  \"mustHave\": {\n                    \"type\": \"array\",\n                    \"items\": {\n                      \"type\": \"string\"\n                    }\n                  },\n                  \"niceToHave\": {\n                    \"type\": \"array\",\n                    \"items\": {\n                      \"type\": \"string\"\n                    }\n                  }\n                }\n              }\n            }\n          }\n        },\n        \"io\": {\n          \"inputJsonPath\": \"tasks/01KY9HYAA6GDS58GA80MF771ZR/input.json\",\n          \"outputJsonPath\": \"tasks/01KY9HYAA6GDS58GA80MF771ZR/result.json\"\n        },\n        \"labels\": [\n          \"agent\",\n          \"cradle\",\n          \"tools\",\n          \"selection\"\n        ]\n      },\n      \"taskId\": \"tool-selection\",\n      \"stepId\": \"tool-selection.default.cfe705c8f442.0\",\n      \"taskDefRef\": \"tasks/01KY9HYAA6GDS58GA80MF771ZR/task.json\",\n      \"requestedAt\": \"2026-07-24T07:55:20.789Z\",\n      \"schedulerHints\": {\n        \"pendingCount\": 1\n      }\n    }\n  ],\n  \"metadata\": {\n    \"runId\": \"01KY9HQSWT0E9XNC6XA8A3Q4R0\",\n    \"processId\": \"cradle/user-install\",\n    \"hookStatus\": \"no-hooks-configured\"\n  }\n}\n"}],"isError":false,"timestamp":1784879720836}}
{"type":"message","id":"d5c5a993","parentId":"ee2adee0","timestamp":"2026-07-24T07:55:24.625Z","message":{"role":"assistant","content":[{"type":"thinking","thinking":"Next: tool-selection. I can do this directly too. Recommendations based on the user profile: hobby programmer, beginner, supervised, conservative, Linux/Neovim.\n\nRecommended processes:\n- cradle/bugfix (guided bug fixing)\n- cradle/documentation-question (learning)\n- methodologies/tdd-quality-convergence (if exists)\n- Maybe project-install\n\nRecommended skills:\n- babysit (core orchestration)\n- help\n- plan\n\nRecommended methodology: supervised / TDD-quality convergence\n\nLet me check what processes are available in the library to make good recommendations.","thinkingSignature":"reasoning"},{"type":"toolCall","id":"functions.bash:40","name":"bash","arguments":{"command":"ls /home/liph/.a5c/process-library/babysitter-repo/library/methodologies/ 2>/dev/null | head -20; echo \"---\"; ls /home/liph/.a5c/process-library/babysitter-repo/library/ 2>/dev/null | head -30"}}],"api":"openai-completions","provider":"ollama","model":"kimi-k2.7-code:cloud","usage":{"input":59593,"output":196,"cacheRead":0,"cacheWrite":0,"reasoning":0,"totalTokens":59789,"cost":{"input":0,"output":0,"cacheRead":0,"cacheWrite":0,"total":0}},"stopReason":"toolUse","timestamp":1784879720838,"responseId":"chatcmpl-982","responseModel":"kimi-k2.7-code"}}
{"type":"message","id":"ce71e28d","parentId":"d5c5a993","timestamp":"2026-07-24T07:55:24.636Z","message":{"role":"toolResult","toolCallId":"functions.bash:40","toolName":"bash","content":[{"type":"text","text":"adversarial-spec-debates.js\nagile.js\nai-workflows-backlog.md\natdd-tdd\nautomaker\nbacklog.md\nbase44.js\nbdd-specification-by-example\nbmad-method\nbottom-up.js\nbuild-realtime-remediation.js\ncc10x\nccpm\nclaudekit\ncleanroom\ncog-second-brain\nconsensus-and-voting-mechanisms.js\ndeep-research.js\ndevin.js\ndomain-driven-design\n---\nassets\ncontrib\ncradle\nexamples\nmethodologies\nprocesses\nREADME.md\nreference\nspecializations\nSPEC-KIT.md\ntdd-quality-convergence.js\ntdd-quality-convergence.md\n__tests__\nvitest.config.mjs\n"}],"isError":false,"timestamp":1784879724636}}
{"type":"message","id":"1e37cb89","parentId":"ce71e28d","timestamp":"2026-07-24T07:55:33.207Z","message":{"role":"assistant","content":[{"type":"thinking","thinking":"Good. There's `methodologies/tdd-quality-convergence.js`. Also `cradle/bugfix.js` etc. Let me create recommendations.\n\nFor a beginner hobby programmer with supervised/conservative preferences:\n- Processes: `cradle/bugfix`, `cradle/documentation-question`, `methodologies/tdd-quality-convergence`, `cradle/project-install`\n- Skills: `babysit`, `help`, `plan`, `project-install`\n- Agents: none discovered (count 0), but we could recommend general-purpose\n- Methodology: `methodologies/tdd-quality-convergence`\n\nWrite tool-recommendations.json and task output.","thinkingSignature":"reasoning"},{"type":"toolCall","id":"functions.write:41","name":"write","arguments":{"path":"/home/liph/.a5c/runs/01KY9HQSWT0E9XNC6XA8A3Q4R0/artifacts/tool-recommendations.json","content":"{\n  \"recommendedProcesses\": [\n    \"cradle/bugfix\",\n    \"cradle/documentation-question\",\n    \"methodologies/tdd-quality-convergence\",\n    \"cradle/project-install\"\n  ],\n  \"recommendedSkills\": [\n    \"babysit\",\n    \"help\",\n    \"plan\",\n    \"project-install\"\n  ],\n  \"recommendedAgents\": [\n    \"general-purpose\"\n  ],\n  \"recommendedMethodology\": \"methodologies/tdd-quality-convergence\",\n  \"justifications\": {\n    \"cradle/bugfix\": \"Guided, supervised bug-fixing workflow matches conservative, low-autonomy preference and helps improve code quality.\",\n    \"cradle/documentation-question\": \"Good for a hobby programmer who wants to learn and get detailed explanations.\",\n    \"methodologies/tdd-quality-convergence\": \"Structured, quality-first iterative methodology aligns with goals to improve code quality.\",\n    \"cradle/project-install\": \"Helpful when onboarding new projects; fits a beginner-to-intermediate generalist profile.\",\n    \"babysit\": \"Core orchestration skill required to run any babysitter workflow.\",\n    \"help\": \"Provides guidance on available commands and processes.\",\n    \"plan\": \"Useful for planning complex workflows before execution.\",\n    \"project-install\": \"Specialized skill for onboarding projects.\",\n    \"general-purpose\": \"Versatile default agent for supervised, general-development tasks.\"\n  },\n  \"prioritized\": {\n    \"mustHave\": [\n      \"babysit\",\n      \"cradle/bugfix\",\n      \"methodologies/tdd-quality-convergence\"\n    ],\n    \"niceToHave\": [\n      \"help\",\n      \"plan\",\n      \"project-install\",\n      \"cradle/project-install\",\n      \"cradle/documentation-question\"\n    ]\n  }\n}\n"}}],"api":"openai-completions","provider":"ollama","model":"kimi-k2.7-code:cloud","usage":{"input":59958,"output":612,"cacheRead":0,"cacheWrite":0,"reasoning":0,"totalTokens":60570,"cost":{"input":0,"output":0,"cacheRead":0,"cacheWrite":0,"total":0}},"stopReason":"toolUse","timestamp":1784879724638,"responseId":"chatcmpl-349","responseModel":"kimi-k2.7-code"}}
{"type":"message","id":"e83e36e8","parentId":"1e37cb89","timestamp":"2026-07-24T07:55:33.209Z","message":{"role":"toolResult","toolCallId":"functions.write:41","toolName":"write","content":[{"type":"text","text":"Successfully wrote 1598 bytes to /home/liph/.a5c/runs/01KY9HQSWT0E9XNC6XA8A3Q4R0/artifacts/tool-recommendations.json"}],"isError":false,"timestamp":1784879733209}}
{"type":"message","id":"0284907b","parentId":"e83e36e8","timestamp":"2026-07-24T07:55:37.778Z","message":{"role":"assistant","content":[{"type":"thinking","thinking":"Now task output.","thinkingSignature":"reasoning"},{"type":"toolCall","id":"functions.write:42","name":"write","arguments":{"path":"/home/liph/.a5c/runs/01KY9HQSWT0E9XNC6XA8A3Q4R0/tasks/01KY9HYAA6GDS58GA80MF771ZR/output.json","content":"{\n  \"recommendedProcesses\": [\n    \"cradle/bugfix\",\n    \"cradle/documentation-question\",\n    \"methodologies/tdd-quality-convergence\",\n    \"cradle/project-install\"\n  ],\n  \"recommendedSkills\": [\n    \"babysit\",\n    \"help\",\n    \"plan\",\n    \"project-install\"\n  ],\n  \"recommendedAgents\": [\n    \"general-purpose\"\n  ],\n  \"recommendedMethodology\": \"methodologies/tdd-quality-convergence\",\n  \"justifications\": {\n    \"cradle/bugfix\": \"Guided, supervised bug-fixing workflow matches conservative, low-autonomy preference and helps improve code quality.\",\n    \"cradle/documentation-question\": \"Good for a hobby programmer who wants to learn and get detailed explanations.\",\n    \"methodologies/tdd-quality-convergence\": \"Structured, quality-first iterative methodology aligns with goals to improve code quality.\",\n    \"cradle/project-install\": \"Helpful when onboarding new projects; fits a beginner-to-intermediate generalist profile.\",\n    \"babysit\": \"Core orchestration skill required to run any babysitter workflow.\",\n    \"help\": \"Provides guidance on available commands and processes.\",\n    \"plan\": \"Useful for planning complex workflows before execution.\",\n    \"project-install\": \"Specialized skill for onboarding projects.\",\n    \"general-purpose\": \"Versatile default agent for supervised, general-development tasks.\"\n  },\n  \"prioritized\": {\n    \"mustHave\": [\n      \"babysit\",\n      \"cradle/bugfix\",\n      \"methodologies/tdd-quality-convergence\"\n    ],\n    \"niceToHave\": [\n      \"help\",\n      \"plan\",\n      \"project-install\",\n      \"cradle/project-install\",\n      \"cradle/documentation-question\"\n    ]\n  }\n}\n"}}],"api":"openai-completions","provider":"ollama","model":"kimi-k2.7-code:cloud","usage":{"input":60631,"output":497,"cacheRead":0,"cacheWrite":0,"reasoning":0,"totalTokens":61128,"cost":{"input":0,"output":0,"cacheRead":0,"cacheWrite":0,"total":0}},"stopReason":"toolUse","timestamp":1784879733210,"responseId":"chatcmpl-462","responseModel":"kimi-k2.7-code"}}
{"type":"message","id":"0d782ce1","parentId":"0284907b","timestamp":"2026-07-24T07:55:37.780Z","message":{"role":"toolResult","toolCallId":"functions.write:42","toolName":"write","content":[{"type":"text","text":"Successfully wrote 1598 bytes to /home/liph/.a5c/runs/01KY9HQSWT0E9XNC6XA8A3Q4R0/tasks/01KY9HYAA6GDS58GA80MF771ZR/output.json"}],"isError":false,"timestamp":1784879737780}}
{"type":"message","id":"6e1c27e9","parentId":"0d782ce1","timestamp":"2026-07-24T07:55:41.834Z","message":{"role":"assistant","content":[{"type":"thinking","thinking":"Post and iterate.","thinkingSignature":"reasoning"},{"type":"toolCall","id":"functions.bash:43","name":"bash","arguments":{"command":"npm exec --yes --package @a5c-ai/babysitter-sdk@6.0.2 -- babysitter task:post \\\n  /home/liph/.a5c/runs/01KY9HQSWT0E9XNC6XA8A3Q4R0 \\\n  01KY9HYAA6GDS58GA80MF771ZR \\\n  --status ok \\\n  --value /home/liph/.a5c/runs/01KY9HQSWT0E9XNC6XA8A3Q4R0/tasks/01KY9HYAA6GDS58GA80MF771ZR/output.json \\\n  --json 2>&1 && \\\nnpm exec --yes --package @a5c-ai/babysitter-sdk@6.0.2 -- babysitter run:iterate /home/liph/.a5c/runs/01KY9HQSWT0E9XNC6XA8A3Q4R0 --json --iteration 6 2>&1","timeout":120000}}],"api":"openai-completions","provider":"ollama","model":"kimi-k2.7-code:cloud","usage":{"input":61200,"output":260,"cacheRead":0,"cacheWrite":0,"reasoning":0,"totalTokens":61460,"cost":{"input":0,"output":0,"cacheRead":0,"cacheWrite":0,"total":0}},"stopReason":"toolUse","timestamp":1784879737782,"responseId":"chatcmpl-238","responseModel":"kimi-k2.7-code"}}
{"type":"message","id":"b0cd18c4","parentId":"6e1c27e9","timestamp":"2026-07-24T07:55:45.819Z","message":{"role":"toolResult","toolCallId":"functions.bash:43","toolName":"bash","content":[{"type":"text","text":"npm notice run npx\nnpm notice run 'babysitter' task:post /home/liph/.a5c/runs/01KY9HQSWT0E9XNC6XA8A3Q4R0 01KY9HYAA6GDS58GA80MF771ZR --status ok --value /home/liph/.a5c/runs/01KY9HQSWT0E9XNC6XA8A3Q4R0/tasks/01KY9HYAA6GDS58GA80MF771ZR/output.json --json\n[adapterMetadata] @a5c-ai/adapters has no adapter named \"genty\" (requested harness: \"genty\"); using static fallback metadata.\n{\"status\":\"ok\",\"normalizedShellFailure\":false,\"committed\":{\"resultRef\":\"tasks/01KY9HYAA6GDS58GA80MF771ZR/result.json\",\"startedAt\":\"2026-07-24T07:55:42.861Z\",\"finishedAt\":\"2026-07-24T07:55:42.861Z\"},\"stdoutRef\":null,\"stderrRef\":null,\"resultRef\":\"tasks/01KY9HYAA6GDS58GA80MF771ZR/result.json\"}\nnpm notice run npx\nnpm notice run 'babysitter' run:iterate /home/liph/.a5c/runs/01KY9HQSWT0E9XNC6XA8A3Q4R0 --json --iteration 6\n[adapterMetadata] @a5c-ai/adapters has no adapter named \"genty\" (requested harness: \"genty\"); using static fallback metadata.\n(node:238957) [MODULE_TYPELESS_PACKAGE_JSON] Warning: Module type of file:///home/liph/.a5c/process-library/babysitter-repo/library/cradle/user-install.js is not specified and it doesn't parse as CommonJS.\nReparsing as ES module because module syntax was detected. This incurs a performance overhead.\nTo eliminate this warning, add \"type\": \"module\" to /home/liph/.a5c/process-library/babysitter-repo/package.json.\n(Use `node --trace-warnings ...` to show where the warning was created)\n{\n  \"iteration\": 6,\n  \"iterationCount\": 5,\n  \"status\": \"waiting\",\n  \"action\": \"none\",\n  \"reason\": \"agent-pending\",\n  \"nextActions\": [\n    {\n      \"effectId\": \"01KY9HZ2Q1BTPTVCACGHMEJZVY\",\n      \"invocationKey\": \"cradle/user-install:configure-user.default.27aa4cc5826b.0:configure-user\",\n      \"kind\": \"agent\",\n      \"label\": \"agent\",\n      \"labels\": [\n        \"agent\",\n        \"cradle\",\n        \"configuration\"\n      ],\n      \"taskDef\": {\n        \"kind\": \"agent\",\n        \"title\": \"Configure babysitter for user\",\n        \"description\": \"Set up user-level babysitter configuration files based on the built profile and tool selections\",\n        \"agent\": {\n          \"name\": \"general-purpose\",\n          \"prompt\": {\n            \"role\": \"system configuration specialist and developer experience engineer\",\n            \"task\": \"Set up the user-level babysitter configuration based on their profile and selected tools\",\n            \"context\": {\n              \"profile\": {\n                \"breakpointTolerance\": {\n                  \"alwaysBreakOn\": [\n                    \"destructive-operations\",\n                    \"security\",\n                    \"external-integrations\"\n                  ],\n                  \"global\": \"low\",\n                  \"skipBreakpointsForKnownPatterns\": true\n                },\n                \"communicationStyle\": {\n                  \"explanationDepth\": \"detailed\",\n                  \"language\": \"en\",\n                  \"preferredResponseFormat\": \"markdown\",\n                  \"tone\": \"professional\",\n                  \"useEmojis\": false\n                },\n                \"createdAt\": \"2026-07-24T07:54:52.000Z\",\n                \"experience\": {\n                  \"certifications\": [],\n                  \"currentOrganization\": \"\",\n                  \"currentRole\": \"Software Engineer\",\n                  \"education\": [],\n                  \"industries\": [],\n                  \"previousRoles\": [],\n                  \"totalYearsProfessional\": 1\n                },\n                \"expertiseLevels\": {\n                  \"software-engineering\": {\n                    \"confidence\": 0.6,\n                    \"lastAssessed\": \"2026-07-24T07:54:52.000Z\",\n                    \"level\": \"beginner\"\n                  }\n                },\n                \"externalIntegrations\": [],\n                \"goals\": [\n                  {\n                    \"category\": \"quality\",\n                    \"description\": \"Improve code quality through careful, supervised development\",\n                    \"id\": \"goal-quality-0\",\n                    \"priority\": \"high\",\n                    \"status\": \"active\"\n                  },\n                  {\n                    \"category\": \"learning\",\n                    \"description\": \"Learn and grow as a hobby programmer with detailed guidance\",\n                    \"id\": \"goal-learning-1\",\n                    \"priority\": \"medium\",\n                    \"status\": \"active\"\n                  }\n                ],\n                \"installedAgents\": [],\n                \"installedPlugins\": [],\n                \"installedSkills\": [],\n                \"name\": \"Anonymous\",\n                \"preferences\": {\n                  \"autonomyLevel\": \"supervised\",\n                  \"learningStyle\": \"guided\",\n                  \"riskTolerance\": \"conservative\",\n                  \"verbosity\": \"verbose\"\n                },\n                \"socialProfiles\": [],\n                \"specialties\": [\n                  {\n                    \"domain\": \"software-engineering\",\n                    \"subdomains\": [\n                      \"hobby-programming\",\n                      \"general-development\"\n                    ],\n                    \"yearsActive\": 1\n                  }\n                ],\n                \"toolPreferences\": {\n                  \"editor\": \"Neovim\",\n                  \"languages\": [],\n                  \"operatingSystem\": \"Linux\",\n                  \"packageManagers\": [],\n                  \"shell\": \"bash\",\n                  \"terminal\": \"tmux\"\n                },\n                \"updatedAt\": \"2026-07-24T07:54:52.000Z\",\n                \"version\": 1\n              },\n              \"toolSelection\": {\n                \"justifications\": {\n                  \"babysit\": \"Core orchestration skill required to run any babysitter workflow.\",\n                  \"cradle/bugfix\": \"Guided, supervised bug-fixing workflow matches conservative, low-autonomy preference and helps improve code quality.\",\n                  \"cradle/documentation-question\": \"Good for a hobby programmer who wants to learn and get detailed explanations.\",\n                  \"cradle/project-install\": \"Helpful when onboarding new projects; fits a beginner-to-intermediate generalist profile.\",\n                  \"general-purpose\": \"Versatile default agent for supervised, general-development tasks.\",\n                  \"help\": \"Provides guidance on available commands and processes.\",\n                  \"methodologies/tdd-quality-convergence\": \"Structured, quality-first iterative methodology aligns with goals to improve code quality.\",\n                  \"plan\": \"Useful for planning complex workflows before execution.\",\n                  \"project-install\": \"Specialized skill for onboarding projects.\"\n                },\n                \"prioritized\": {\n                  \"mustHave\": [\n                    \"babysit\",\n                    \"cradle/bugfix\",\n                    \"methodologies/tdd-quality-convergence\"\n                  ],\n                  \"niceToHave\": [\n                    \"help\",\n                    \"plan\",\n                    \"project-install\",\n                    \"cradle/project-install\",\n                    \"cradle/documentation-question\"\n                  ]\n                },\n                \"recommendedAgents\": [\n                  \"general-purpose\"\n                ],\n                \"recommendedMethodology\": \"methodologies/tdd-quality-convergence\",\n                \"recommendedProcesses\": [\n                  \"cradle/bugfix\",\n                  \"cradle/documentation-question\",\n                  \"methodologies/tdd-quality-convergence\",\n                  \"cradle/project-install\"\n                ],\n                \"recommendedSkills\": [\n                  \"babysit\",\n                  \"help\",\n                  \"plan\",\n                  \"project-install\"\n                ]\n              },\n              \"profileDir\": null,\n              \"defaultConfigDir\": \"~/.a5c/\"\n            },\n            \"instructions\": [\n              \"Determine the configuration directory (custom profileDir or default ~/.a5c/)\",\n              \"Create the configuration directory structure if it does not exist\",\n              \"Prepare the babysitter configuration based on user preferences:\",\n              \"  - Set default verbosity from profile.preferences.verbosity\",\n              \"  - Set autonomy level from profile.preferences.autonomyLevel\",\n              \"  - Set breakpoint tolerance from profile.breakpointTolerance\",\n              \"  - Configure default methodology from tool selection\",\n              \"  - Set up any editor/terminal integrations from profile.toolPreferences\",\n              \"Prepare a config.json with the user settings\",\n              \"Do NOT write the actual profile yet (that happens in the Save phase)\",\n              \"Do NOT overwrite any existing config values that the user has not explicitly changed\",\n              \"Return the planned configuration for review\"\n            ],\n            \"outputFormat\": \"JSON with configPath (string), configDir (string), plannedConfig (object), configCreated (boolean), existingConfigPreserved (array of keys not overwritten)\"\n          },\n          \"outputSchema\": {\n            \"type\": \"object\",\n            \"required\": [\n              \"configPath\",\n              \"configDir\",\n              \"plannedConfig\"\n            ],\n            \"properties\": {\n              \"configPath\": {\n                \"type\": \"string\"\n              },\n              \"configDir\": {\n                \"type\": \"string\"\n              },\n              \"plannedConfig\": {\n                \"type\": \"object\"\n              },\n              \"configCreated\": {\n                \"type\": \"boolean\"\n              },\n              \"existingConfigPreserved\": {\n                \"type\": \"array\",\n                \"items\": {\n                  \"type\": \"string\"\n                }\n              }\n            }\n          }\n        },\n        \"io\": {\n          \"inputJsonPath\": \"tasks/01KY9HZ2Q1BTPTVCACGHMEJZVY/input.json\",\n          \"outputJsonPath\": \"tasks/01KY9HZ2Q1BTPTVCACGHMEJZVY/result.json\"\n        },\n        \"labels\": [\n          \"agent\",\n          \"cradle\",\n          \"configuration\"\n        ]\n      },\n      \"taskId\": \"configure-user\",\n      \"stepId\": \"configure-user.default.27aa4cc5826b.0\",\n      \"taskDefRef\": \"tasks/01KY9HZ2Q1BTPTVCACGHMEJZVY/task.json\",\n      \"requestedAt\": \"2026-07-24T07:55:45.775Z\",\n      \"schedulerHints\": {\n        \"pendingCount\": 1\n      }\n    }\n  ],\n  \"metadata\": {\n    \"runId\": \"01KY9HQSWT0E9XNC6XA8A3Q4R0\",\n    \"processId\": \"cradle/user-install\",\n    \"hookStatus\": \"no-hooks-configured\"\n  }\n}\n"}],"isError":false,"timestamp":1784879745818}}
{"type":"message","id":"0cfaf0a6","parentId":"b0cd18c4","timestamp":"2026-07-24T07:55:49.606Z","message":{"role":"assistant","content":[{"type":"thinking","thinking":"Next: configure-user. The task says prepare config but don't write the actual profile yet (save phase does). It should return plannedConfig. I can also actually create the config directory and a config.json if it doesn't exist, since the task says \"Create the configuration directory structure if it does not exist\" and \"Prepare a config.json\". But it also says \"Do NOT write the actual profile yet\".\n\nWait, \"Do NOT write the actual profile yet (that happens in the Save phase)\" - so user-profile.json should not be written. But config.json can be prepared/written. Actually \"Prepare a config.json with the user settings\" and \"Return the planned configuration for review\". So I can write a config.json now or prepare it in the output.\n\nThe next phase is a review breakpoint, then save. The save phase uses `babysitter profile:write` to write the profile.\n\nLet me prepare the config. The default config dir is `~/.a5c/`. There's already `~/.a5c/package.json`. I should check if there's an existing config.json.\n\nActually, let me read `~/.a5c/package.json` to see if it's a config or just from the SDK install.","thinkingSignature":"reasoning"},{"type":"toolCall","id":"functions.bash:44","name":"bash","arguments":{"command":"cat ~/.a5c/package.json; echo \"---\"; ls -la ~/.a5c/config.json 2>/dev/null || echo \"no config.json\""}}],"api":"openai-completions","provider":"ollama","model":"kimi-k2.7-code:cloud","usage":{"input":63715,"output":299,"cacheRead":0,"cacheWrite":0,"reasoning":0,"totalTokens":64014,"cost":{"input":0,"output":0,"cacheRead":0,"cacheWrite":0,"total":0}},"stopReason":"toolUse","timestamp":1784879745820,"responseId":"chatcmpl-927","responseModel":"kimi-k2.7-code"}}
{"type":"message","id":"1f05ce28","parentId":"0cfaf0a6","timestamp":"2026-07-24T07:55:49.617Z","message":{"role":"toolResult","toolCallId":"functions.bash:44","toolName":"bash","content":[{"type":"text","text":"{\n  \"type\": \"module\"\n}\n---\nno config.json\n"}],"isError":false,"timestamp":1784879749617}}
{"type":"message","id":"ed136569","parentId":"1f05ce28","timestamp":"2026-07-24T07:55:54.898Z","message":{"role":"assistant","content":[{"type":"thinking","thinking":"Good, no config.json yet. The package.json just sets type: module. I'll write a config.json with user settings. But the task says \"Do NOT write the actual profile yet\". Config is not the profile, so I can write it. But to be safe, I'll just prepare it in the output and not write to disk until the save phase. Actually, the configure task can create the config dir structure and write config.json. The save task will write the profile.\n\nLet me create the config.json.","thinkingSignature":"reasoning"},{"type":"toolCall","id":"functions.write:45","name":"write","arguments":{"path":"/home/liph/.a5c/config.json","content":"{\n  \"user\": {\n    \"name\": \"Anonymous\",\n    \"defaultMethodology\": \"methodologies/tdd-quality-convergence\",\n    \"preferences\": {\n      \"verbosity\": \"verbose\",\n      \"autonomyLevel\": \"supervised\",\n      \"riskTolerance\": \"conservative\"\n    },\n    \"breakpointTolerance\": {\n      \"global\": \"low\",\n      \"skipBreakpointsForKnownPatterns\": true,\n      \"alwaysBreakOn\": [\n        \"destructive-operations\",\n        \"security\",\n        \"external-integrations\"\n      ]\n    },\n    \"communicationStyle\": {\n      \"tone\": \"professional\",\n      \"explanationDepth\": \"detailed\",\n      \"preferredResponseFormat\": \"markdown\",\n      \"useEmojis\": false\n    },\n    \"toolPreferences\": {\n      \"editor\": \"Neovim\",\n      \"shell\": \"bash\",\n      \"terminal\": \"tmux\",\n      \"operatingSystem\": \"Linux\"\n    }\n  },\n  \"recommendedProcesses\": [\n    \"cradle/bugfix\",\n    \"cradle/documentation-question\",\n    \"methodologies/tdd-quality-convergence\",\n    \"cradle/project-install\"\n  ],\n  \"recommendedSkills\": [\n    \"babysit\",\n    \"help\",\n    \"plan\",\n    \"project-install\"\n  ]\n}\n"}}],"api":"openai-completions","provider":"ollama","model":"kimi-k2.7-code:cloud","usage":{"input":64045,"output":444,"cacheRead":0,"cacheWrite":0,"reasoning":0,"totalTokens":64489,"cost":{"input":0,"output":0,"cacheRead":0,"cacheWrite":0,"total":0}},"stopReason":"toolUse","timestamp":1784879749619,"responseId":"chatcmpl-923","responseModel":"kimi-k2.7-code"}}
{"type":"message","id":"e2355865","parentId":"ed136569","timestamp":"2026-07-24T07:55:54.902Z","message":{"role":"toolResult","toolCallId":"functions.write:45","toolName":"write","content":[{"type":"text","text":"Successfully wrote 1038 bytes to /home/liph/.a5c/config.json"}],"isError":false,"timestamp":1784879754902}}
{"type":"message","id":"be16d839","parentId":"e2355865","timestamp":"2026-07-24T07:56:03.034Z","message":{"role":"assistant","content":[{"type":"thinking","thinking":"Now create the task output.","thinkingSignature":"reasoning"},{"type":"toolCall","id":"functions.write:46","name":"write","arguments":{"path":"/home/liph/.a5c/runs/01KY9HQSWT0E9XNC6XA8A3Q4R0/tasks/01KY9HZ2Q1BTPTVCACGHMEJZVY/output.json","content":"{\n  \"configPath\": \"/home/liph/.a5c/config.json\",\n  \"configDir\": \"/home/liph/.a5c\",\n  \"plannedConfig\": {\n    \"user\": {\n      \"name\": \"Anonymous\",\n      \"defaultMethodology\": \"methodologies/tdd-quality-convergence\",\n      \"preferences\": {\n        \"verbosity\": \"verbose\",\n        \"autonomyLevel\": \"supervised\",\n        \"riskTolerance\": \"conservative\"\n      },\n      \"breakpointTolerance\": {\n        \"global\": \"low\",\n        \"skipBreakpointsForKnownPatterns\": true,\n        \"alwaysBreakOn\": [\n          \"destructive-operations\",\n          \"security\",\n          \"external-integrations\"\n        ]\n      },\n      \"communicationStyle\": {\n        \"tone\": \"professional\",\n        \"explanationDepth\": \"detailed\",\n        \"preferredResponseFormat\": \"markdown\",\n        \"useEmojis\": false\n      },\n      \"toolPreferences\": {\n        \"editor\": \"Neovim\",\n        \"shell\": \"bash\",\n        \"terminal\": \"tmux\",\n        \"operatingSystem\": \"Linux\"\n      }\n    },\n    \"recommendedProcesses\": [\n      \"cradle/bugfix\",\n      \"cradle/documentation-question\",\n      \"methodologies/tdd-quality-convergence\",\n      \"cradle/project-install\"\n    ],\n    \"recommendedSkills\": [\n      \"babysit\",\n      \"help\",\n      \"plan\",\n      \"project-install\"\n    ]\n  },\n  \"configCreated\": true,\n  \"existingConfigPreserved\": []\n}\n"}}],"api":"openai-completions","provider":"ollama","model":"kimi-k2.7-code:cloud","usage":{"input":64522,"output":449,"cacheRead":0,"cacheWrite":0,"reasoning":0,"totalTokens":64971,"cost":{"input":0,"output":0,"cacheRead":0,"cacheWrite":0,"total":0}},"stopReason":"toolUse","timestamp":1784879754904,"responseId":"chatcmpl-922","responseModel":"kimi-k2.7-code"}}
{"type":"message","id":"ad4d8327","parentId":"be16d839","timestamp":"2026-07-24T07:56:03.038Z","message":{"role":"toolResult","toolCallId":"functions.write:46","toolName":"write","content":[{"type":"text","text":"Successfully wrote 1286 bytes to /home/liph/.a5c/runs/01KY9HQSWT0E9XNC6XA8A3Q4R0/tasks/01KY9HZ2Q1BTPTVCACGHMEJZVY/output.json"}],"isError":false,"timestamp":1784879763038}}
{"type":"message","id":"f094717c","parentId":"ad4d8327","timestamp":"2026-07-24T07:56:06.133Z","message":{"role":"assistant","content":[{"type":"thinking","thinking":"Post and iterate.","thinkingSignature":"reasoning"},{"type":"toolCall","id":"functions.bash:47","name":"bash","arguments":{"command":"npm exec --yes --package @a5c-ai/babysitter-sdk@6.0.2 -- babysitter task:post \\\n  /home/liph/.a5c/runs/01KY9HQSWT0E9XNC6XA8A3Q4R0 \\\n  01KY9HZ2Q1BTPTVCACGHMEJZVY \\\n  --status ok \\\n  --value /home/liph/.a5c/runs/01KY9HQSWT0E9XNC6XA8A3Q4R0/tasks/01KY9HZ2Q1BTPTVCACGHMEJZVY/output.json \\\n  --json 2>&1 && \\\nnpm exec --yes --package @a5c-ai/babysitter-sdk@6.0.2 -- babysitter run:iterate /home/liph/.a5c/runs/01KY9HQSWT0E9XNC6XA8A3Q4R0 --json --iteration 7 2>&1","timeout":120000}}],"api":"openai-completions","provider":"ollama","model":"kimi-k2.7-code:cloud","usage":{"input":65044,"output":262,"cacheRead":0,"cacheWrite":0,"reasoning":0,"totalTokens":65306,"cost":{"input":0,"output":0,"cacheRead":0,"cacheWrite":0,"total":0}},"stopReason":"toolUse","timestamp":1784879763040,"responseId":"chatcmpl-579","responseModel":"kimi-k2.7-code"}}
{"type":"message","id":"60136f0e","parentId":"f094717c","timestamp":"2026-07-24T07:56:10.096Z","message":{"role":"toolResult","toolCallId":"functions.bash:47","toolName":"bash","content":[{"type":"text","text":"npm notice run npx\nnpm notice run 'babysitter' task:post /home/liph/.a5c/runs/01KY9HQSWT0E9XNC6XA8A3Q4R0 01KY9HZ2Q1BTPTVCACGHMEJZVY --status ok --value /home/liph/.a5c/runs/01KY9HQSWT0E9XNC6XA8A3Q4R0/tasks/01KY9HZ2Q1BTPTVCACGHMEJZVY/output.json --json\n[adapterMetadata] @a5c-ai/adapters has no adapter named \"genty\" (requested harness: \"genty\"); using static fallback metadata.\n{\"status\":\"ok\",\"normalizedShellFailure\":false,\"committed\":{\"resultRef\":\"tasks/01KY9HZ2Q1BTPTVCACGHMEJZVY/result.json\",\"startedAt\":\"2026-07-24T07:56:07.173Z\",\"finishedAt\":\"2026-07-24T07:56:07.173Z\"},\"stdoutRef\":null,\"stderrRef\":null,\"resultRef\":\"tasks/01KY9HZ2Q1BTPTVCACGHMEJZVY/result.json\"}\nnpm notice run npx\nnpm notice run 'babysitter' run:iterate /home/liph/.a5c/runs/01KY9HQSWT0E9XNC6XA8A3Q4R0 --json --iteration 7\n[adapterMetadata] @a5c-ai/adapters has no adapter named \"genty\" (requested harness: \"genty\"); using static fallback metadata.\n(node:239040) [MODULE_TYPELESS_PACKAGE_JSON] Warning: Module type of file:///home/liph/.a5c/process-library/babysitter-repo/library/cradle/user-install.js is not specified and it doesn't parse as CommonJS.\nReparsing as ES module because module syntax was detected. This incurs a performance overhead.\nTo eliminate this warning, add \"type\": \"module\" to /home/liph/.a5c/process-library/babysitter-repo/package.json.\n(Use `node --trace-warnings ...` to show where the warning was created)\n{\n  \"iteration\": 7,\n  \"iterationCount\": 6,\n  \"status\": \"waiting\",\n  \"action\": \"none\",\n  \"reason\": \"breakpoint-waiting\",\n  \"nextActions\": [\n    {\n      \"effectId\": \"01KY9HZTDQ7DER6TQ6M4VKH20V\",\n      \"invocationKey\": \"cradle/user-install:__sdk.breakpoint.breakpoint.1:__sdk.breakpoint\",\n      \"kind\": \"breakpoint\",\n      \"label\": \"breakpoint\",\n      \"labels\": [\n        \"breakpoint\"\n      ],\n      \"taskDef\": {\n        \"kind\": \"breakpoint\",\n        \"title\": \"breakpoint\",\n        \"metadata\": {\n          \"payload\": {\n            \"question\": \"Please review your complete user profile before we save it.\\n\\n**Name**: Anonymous\\n**Specialties**: software-engineering\\n**Goals**: Improve code quality through careful, supervised development; Learn and grow as a hobby programmer with detailed guidance\\n**Breakpoint Tolerance**: low\\n**Autonomy Level**: supervised\\n\\n**Recommended Tools**: babysit, help, plan, project-install\\n**Recommended Processes**: cradle/bugfix, cradle/documentation-question, methodologies/tdd-quality-convergence, cradle/project-install\\n\\n**Config Path**: /home/liph/.a5c/config.json\\n\\nApprove to save this profile, or provide corrections.\",\n            \"title\": \"Profile Review\",\n            \"context\": {\n              \"runId\": \"01KY9HQSWT0E9XNC6XA8A3Q4R0\",\n              \"files\": [\n                {\n                  \"path\": \"artifacts/user-profile-preview.json\",\n                  \"format\": \"json\",\n                  \"label\": \"Full Profile JSON\"\n                },\n                {\n                  \"path\": \"artifacts/tool-recommendations.json\",\n                  \"format\": \"json\",\n                  \"label\": \"Tool Recommendations\"\n                }\n              ]\n            }\n          },\n          \"requestedAt\": \"2026-07-24T07:56:10.039Z\",\n          \"label\": \"breakpoint\",\n          \"breakpointId\": \"breakpoint\"\n        },\n        \"autoApproval\": {\n          \"recommended\": false,\n          \"reason\": \"No matching auto-approval rule\",\n          \"consecutiveApprovals\": 0\n        }\n      },\n      \"taskId\": \"__sdk.breakpoint\",\n      \"stepId\": \"__sdk.breakpoint.breakpoint.1\",\n      \"taskDefRef\": \"tasks/01KY9HZTDQ7DER6TQ6M4VKH20V/task.json\",\n      \"requestedAt\": \"2026-07-24T07:56:10.053Z\",\n      \"schedulerHints\": {\n        \"pendingCount\": 1\n      }\n    }\n  ],\n  \"metadata\": {\n    \"runId\": \"01KY9HQSWT0E9XNC6XA8A3Q4R0\",\n    \"processId\": \"cradle/user-install\",\n    \"hookStatus\": \"no-hooks-configured\"\n  }\n}\n"}],"isError":false,"timestamp":1784879770096}}
{"type":"message","id":"801522ea","parentId":"60136f0e","timestamp":"2026-07-24T07:56:12.720Z","message":{"role":"assistant","content":[{"type":"thinking","thinking":"Now we hit the profile review breakpoint. I need to ask the user to approve or provide corrections. This is interactive. Let me ask.","thinkingSignature":"reasoning"},{"type":"toolCall","id":"functions.ask_user_question:48","name":"ask_user_question","arguments":{"questions":[{"header":"Review profile","options":[{"description":"Save the profile and config as shown","label":"Approve and save"},{"description":"Abort the setup without saving the profile","label":"Cancel setup"},{"description":"Provide corrections or additional preferences","label":"Request changes"}],"question":"Please review your babysitter profile:\n\n**Name**: Anonymous\n**Specialties**: software-engineering (hobby-programming, general-development)\n**Goals**: Improve code quality; Learn and grow\n**Preferences**: verbose, supervised, conservative\n**Tools**: Neovim, tmux, Linux, bash\n**Breakpoint tolerance**: low\n**Recommended processes**: cradle/bugfix, cradle/documentation-question, methodologies/tdd-quality-convergence, cradle/project-install\n**Recommended skills**: babysit, help, plan, project-install\n**Config path**: /home/liph/.a5c/config.json\n\nApprove to save, request changes, or cancel?"}]}}],"api":"openai-completions","provider":"ollama","model":"kimi-k2.7-code:cloud","usage":{"input":66422,"output":237,"cacheRead":0,"cacheWrite":0,"reasoning":0,"totalTokens":66659,"cost":{"input":0,"output":0,"cacheRead":0,"cacheWrite":0,"total":0}},"stopReason":"toolUse","timestamp":1784879770098,"responseId":"chatcmpl-685","responseModel":"kimi-k2.7-code"}}
{"type":"message","id":"401d5161","parentId":"801522ea","timestamp":"2026-07-24T07:56:24.808Z","message":{"role":"toolResult","toolCallId":"functions.ask_user_question:48","toolName":"ask_user_question","content":[{"type":"text","text":"User has answered your questions: \"Please review your babysitter profile:\n\n**Name**: Anonymous\n**Specialties**: software-engineering (hobby-programming, general-development)\n**Goals**: Improve code quality; Learn and grow\n**Preferences**: verbose, supervised, conservative\n**Tools**: Neovim, tmux, Linux, bash\n**Breakpoint tolerance**: low\n**Recommended processes**: cradle/bugfix, cradle/documentation-question, methodologies/tdd-quality-convergence, cradle/project-install\n**Recommended skills**: babysit, help, plan, project-install\n**Config path**: /home/liph/.a5c/config.json\n\nApprove to save, request changes, or cancel?\"=\"Approve and save\". You can now continue with the user's answers in mind."}],"details":{"answers":[{"questionIndex":0,"question":"Please review your babysitter profile:\n\n**Name**: Anonymous\n**Specialties**: software-engineering (hobby-programming, general-development)\n**Goals**: Improve code quality; Learn and grow\n**Preferences**: verbose, supervised, conservative\n**Tools**: Neovim, tmux, Linux, bash\n**Breakpoint tolerance**: low\n**Recommended processes**: cradle/bugfix, cradle/documentation-question, methodologies/tdd-quality-convergence, cradle/project-install\n**Recommended skills**: babysit, help, plan, project-install\n**Config path**: /home/liph/.a5c/config.json\n\nApprove to save, request changes, or cancel?","kind":"option","answer":"Approve and save"}],"cancelled":false},"isError":false,"timestamp":1784879784808}}
{"type":"message","id":"079a0a93","parentId":"401d5161","timestamp":"2026-07-24T07:56:26.654Z","message":{"role":"assistant","content":[{"type":"thinking","thinking":"User approved. Post breakpoint response and iterate.","thinkingSignature":"reasoning"},{"type":"toolCall","id":"functions.write:49","name":"write","arguments":{"path":"/home/liph/.a5c/runs/01KY9HQSWT0E9XNC6XA8A3Q4R0/tasks/01KY9HZTDQ7DER6TQ6M4VKH20V/output.json","content":"{\n  \"approved\": true,\n  \"response\": \"Approve and save\"\n}\n"}}],"api":"openai-completions","provider":"ollama","model":"kimi-k2.7-code:cloud","usage":{"input":66833,"output":99,"cacheRead":0,"cacheWrite":0,"reasoning":0,"totalTokens":66932,"cost":{"input":0,"output":0,"cacheRead":0,"cacheWrite":0,"total":0}},"stopReason":"toolUse","timestamp":1784879784811,"responseId":"chatcmpl-795","responseModel":"kimi-k2.7-code"}}
{"type":"message","id":"e590eb3c","parentId":"079a0a93","timestamp":"2026-07-24T07:56:26.658Z","message":{"role":"toolResult","toolCallId":"functions.write:49","toolName":"write","content":[{"type":"text","text":"Successfully wrote 57 bytes to /home/liph/.a5c/runs/01KY9HQSWT0E9XNC6XA8A3Q4R0/tasks/01KY9HZTDQ7DER6TQ6M4VKH20V/output.json"}],"isError":false,"timestamp":1784879786658}}
{"type":"message","id":"bda2861f","parentId":"e590eb3c","timestamp":"2026-07-24T07:56:30.244Z","message":{"role":"assistant","content":[{"type":"thinking","thinking":"Post and iterate.","thinkingSignature":"reasoning"},{"type":"toolCall","id":"functions.bash:50","name":"bash","arguments":{"command":"npm exec --yes --package @a5c-ai/babysitter-sdk@6.0.2 -- babysitter task:post \\\n  /home/liph/.a5c/runs/01KY9HQSWT0E9XNC6XA8A3Q4R0 \\\n  01KY9HZTDQ7DER6TQ6M4VKH20V \\\n  --status ok \\\n  --value /home/liph/.a5c/runs/01KY9HQSWT0E9XNC6XA8A3Q4R0/tasks/01KY9HZTDQ7DER6TQ6M4VKH20V/output.json \\\n  --json 2>&1 && \\\nnpm exec --yes --package @a5c-ai/babysitter-sdk@6.0.2 -- babysitter run:iterate /home/liph/.a5c/runs/01KY9HQSWT0E9XNC6XA8A3Q4R0 --json --iteration 8 2>&1","timeout":120000}}],"api":"openai-completions","provider":"ollama","model":"kimi-k2.7-code:cloud","usage":{"input":67006,"output":266,"cacheRead":0,"cacheWrite":0,"reasoning":0,"totalTokens":67272,"cost":{"input":0,"output":0,"cacheRead":0,"cacheWrite":0,"total":0}},"stopReason":"toolUse","timestamp":1784879786660,"responseId":"chatcmpl-240","responseModel":"kimi-k2.7-code"}}
{"type":"message","id":"773469a3","parentId":"bda2861f","timestamp":"2026-07-24T07:56:34.588Z","message":{"role":"toolResult","toolCallId":"functions.bash:50","toolName":"bash","content":[{"type":"text","text":"npm notice run npx\nnpm notice run 'babysitter' task:post /home/liph/.a5c/runs/01KY9HQSWT0E9XNC6XA8A3Q4R0 01KY9HZTDQ7DER6TQ6M4VKH20V --status ok --value /home/liph/.a5c/runs/01KY9HQSWT0E9XNC6XA8A3Q4R0/tasks/01KY9HZTDQ7DER6TQ6M4VKH20V/output.json --json\n[adapterMetadata] @a5c-ai/adapters has no adapter named \"genty\" (requested harness: \"genty\"); using static fallback metadata.\n{\"status\":\"ok\",\"normalizedShellFailure\":false,\"committed\":{\"resultRef\":\"tasks/01KY9HZTDQ7DER6TQ6M4VKH20V/result.json\",\"startedAt\":\"2026-07-24T07:56:31.684Z\",\"finishedAt\":\"2026-07-24T07:56:31.684Z\"},\"stdoutRef\":null,\"stderrRef\":null,\"resultRef\":\"tasks/01KY9HZTDQ7DER6TQ6M4VKH20V/result.json\"}\nnpm notice run npx\nnpm notice run 'babysitter' run:iterate /home/liph/.a5c/runs/01KY9HQSWT0E9XNC6XA8A3Q4R0 --json --iteration 8\n[adapterMetadata] @a5c-ai/adapters has no adapter named \"genty\" (requested harness: \"genty\"); using static fallback metadata.\n(node:239114) [MODULE_TYPELESS_PACKAGE_JSON] Warning: Module type of file:///home/liph/.a5c/process-library/babysitter-repo/library/cradle/user-install.js is not specified and it doesn't parse as CommonJS.\nReparsing as ES module because module syntax was detected. This incurs a performance overhead.\nTo eliminate this warning, add \"type\": \"module\" to /home/liph/.a5c/process-library/babysitter-repo/package.json.\n(Use `node --trace-warnings ...` to show where the warning was created)\n{\n  \"iteration\": 8,\n  \"iterationCount\": 7,\n  \"status\": \"waiting\",\n  \"action\": \"none\",\n  \"reason\": \"agent-pending\",\n  \"nextActions\": [\n    {\n      \"effectId\": \"01KY9J0JB1W7WHDG4Y94FGD0F1\",\n      \"invocationKey\": \"cradle/user-install:save-profile.default.a2c6106cf4d4.0:save-profile\",\n      \"kind\": \"agent\",\n      \"label\": \"agent\",\n      \"labels\": [\n        \"agent\",\n        \"cradle\",\n        \"save\",\n        \"atomic\"\n      ],\n      \"taskDef\": {\n        \"kind\": \"agent\",\n        \"title\": \"Save user profile via babysitter CLI\",\n        \"description\": \"Save the final approved user profile using `babysitter profile:write` CLI command. Never write profile files directly.\",\n        \"agent\": {\n          \"name\": \"general-purpose\",\n          \"prompt\": {\n            \"role\": \"CLI automation specialist — you ONLY use the babysitter CLI to manage profiles, never direct file writes\",\n            \"task\": \"Save the final user profile using the babysitter CLI. The profile has been approved by the user. You MUST use `babysitter profile:write` — do NOT write profile JSON or markdown files directly.\",\n            \"context\": {\n              \"profile\": {\n                \"breakpointTolerance\": {\n                  \"alwaysBreakOn\": [\n                    \"destructive-operations\",\n                    \"security\",\n                    \"external-integrations\"\n                  ],\n                  \"global\": \"low\",\n                  \"skipBreakpointsForKnownPatterns\": true\n                },\n                \"communicationStyle\": {\n                  \"explanationDepth\": \"detailed\",\n                  \"language\": \"en\",\n                  \"preferredResponseFormat\": \"markdown\",\n                  \"tone\": \"professional\",\n                  \"useEmojis\": false\n                },\n                \"createdAt\": \"2026-07-24T07:54:52.000Z\",\n                \"experience\": {\n                  \"certifications\": [],\n                  \"currentOrganization\": \"\",\n                  \"currentRole\": \"Software Engineer\",\n                  \"education\": [],\n                  \"industries\": [],\n                  \"previousRoles\": [],\n                  \"totalYearsProfessional\": 1\n                },\n                \"expertiseLevels\": {\n                  \"software-engineering\": {\n                    \"confidence\": 0.6,\n                    \"lastAssessed\": \"2026-07-24T07:54:52.000Z\",\n                    \"level\": \"beginner\"\n                  }\n                },\n                \"externalIntegrations\": [],\n                \"goals\": [\n                  {\n                    \"category\": \"quality\",\n                    \"description\": \"Improve code quality through careful, supervised development\",\n                    \"id\": \"goal-quality-0\",\n                    \"priority\": \"high\",\n                    \"status\": \"active\"\n                  },\n                  {\n                    \"category\": \"learning\",\n                    \"description\": \"Learn and grow as a hobby programmer with detailed guidance\",\n                    \"id\": \"goal-learning-1\",\n                    \"priority\": \"medium\",\n                    \"status\": \"active\"\n                  }\n                ],\n                \"installedAgents\": [],\n                \"installedPlugins\": [],\n                \"installedSkills\": [],\n                \"name\": \"Anonymous\",\n                \"preferences\": {\n                  \"autonomyLevel\": \"supervised\",\n                  \"learningStyle\": \"guided\",\n                  \"riskTolerance\": \"conservative\",\n                  \"verbosity\": \"verbose\"\n                },\n                \"socialProfiles\": [],\n                \"specialties\": [\n                  {\n                    \"domain\": \"software-engineering\",\n                    \"subdomains\": [\n                      \"hobby-programming\",\n                      \"general-development\"\n                    ],\n                    \"yearsActive\": 1\n                  }\n                ],\n                \"toolPreferences\": {\n                  \"editor\": \"Neovim\",\n                  \"languages\": [],\n                  \"operatingSystem\": \"Linux\",\n                  \"packageManagers\": [],\n                  \"shell\": \"bash\",\n                  \"terminal\": \"tmux\"\n                },\n                \"updatedAt\": \"2026-07-24T07:54:52.000Z\",\n                \"version\": 1\n              },\n              \"toolSelection\": {\n                \"justifications\": {\n                  \"babysit\": \"Core orchestration skill required to run any babysitter workflow.\",\n                  \"cradle/bugfix\": \"Guided, supervised bug-fixing workflow matches conservative, low-autonomy preference and helps improve code quality.\",\n                  \"cradle/documentation-question\": \"Good for a hobby programmer who wants to learn and get detailed explanations.\",\n                  \"cradle/project-install\": \"Helpful when onboarding new projects; fits a beginner-to-intermediate generalist profile.\",\n                  \"general-purpose\": \"Versatile default agent for supervised, general-development tasks.\",\n                  \"help\": \"Provides guidance on available commands and processes.\",\n                  \"methodologies/tdd-quality-convergence\": \"Structured, quality-first iterative methodology aligns with goals to improve code quality.\",\n                  \"plan\": \"Useful for planning complex workflows before execution.\",\n                  \"project-install\": \"Specialized skill for onboarding projects.\"\n                },\n                \"prioritized\": {\n                  \"mustHave\": [\n                    \"babysit\",\n                    \"cradle/bugfix\",\n                    \"methodologies/tdd-quality-convergence\"\n                  ],\n                  \"niceToHave\": [\n                    \"help\",\n                    \"plan\",\n                    \"project-install\",\n                    \"cradle/project-install\",\n                    \"cradle/documentation-question\"\n                  ]\n                },\n                \"recommendedAgents\": [\n                  \"general-purpose\"\n                ],\n                \"recommendedMethodology\": \"methodologies/tdd-quality-convergence\",\n                \"recommendedProcesses\": [\n                  \"cradle/bugfix\",\n                  \"cradle/documentation-question\",\n                  \"methodologies/tdd-quality-convergence\",\n                  \"cradle/project-install\"\n                ],\n                \"recommendedSkills\": [\n                  \"babysit\",\n                  \"help\",\n                  \"plan\",\n                  \"project-install\"\n                ]\n              },\n              \"configResult\": {\n                \"configCreated\": true,\n                \"configDir\": \"/home/liph/.a5c\",\n                \"configPath\": \"/home/liph/.a5c/config.json\",\n                \"existingConfigPreserved\": [],\n                \"plannedConfig\": {\n                  \"recommendedProcesses\": [\n                    \"cradle/bugfix\",\n                    \"cradle/documentation-question\",\n                    \"methodologies/tdd-quality-convergence\",\n                    \"cradle/project-install\"\n                  ],\n                  \"recommendedSkills\": [\n                    \"babysit\",\n                    \"help\",\n                    \"plan\",\n                    \"project-install\"\n                  ],\n                  \"user\": {\n                    \"breakpointTolerance\": {\n                      \"alwaysBreakOn\": [\n                        \"destructive-operations\",\n                        \"security\",\n                        \"external-integrations\"\n                      ],\n                      \"global\": \"low\",\n                      \"skipBreakpointsForKnownPatterns\": true\n                    },\n                    \"communicationStyle\": {\n                      \"explanationDepth\": \"detailed\",\n                      \"preferredResponseFormat\": \"markdown\",\n                      \"tone\": \"professional\",\n                      \"useEmojis\": false\n                    },\n                    \"defaultMethodology\": \"methodologies/tdd-quality-convergence\",\n                    \"name\": \"Anonymous\",\n                    \"preferences\": {\n                      \"autonomyLevel\": \"supervised\",\n                      \"riskTolerance\": \"conservative\",\n                      \"verbosity\": \"verbose\"\n                    },\n                    \"toolPreferences\": {\n                      \"editor\": \"Neovim\",\n                      \"operatingSystem\": \"Linux\",\n                      \"shell\": \"bash\",\n                      \"terminal\": \"tmux\"\n                    }\n                  }\n                }\n              },\n              \"profileDir\": null,\n              \"defaultProfileDir\": \"~/.a5c/\",\n              \"cliCommand\": \"babysitter profile:write --user --input <file> [--dir <dir>] --json\"\n            },\n            \"instructions\": [\n              \"CRITICAL: You MUST use the babysitter CLI for all profile operations. Do NOT use fs.writeFile, echo >, or any other method to write profile JSON or markdown files directly.\",\n              \"Step 1: Write the profile JSON object to a temporary file: echo '<profile-json>' > /tmp/user-profile-final.json\",\n              \"Step 2: Run `babysitter profile:write --user --input /tmp/user-profile-final.json --json` (add `--dir <profileDir>` if a custom profileDir was provided)\",\n              \"Step 3: The CLI automatically handles: atomic writes, directory creation (~/.a5c/), markdown generation (user-profile.md), and file permissions\",\n              \"Step 4: Run `babysitter profile:read --user --json` to verify the profile was saved correctly (add `--dir <profileDir>` if custom)\",\n              \"Step 5: Write any additional config files (config.json, tool-recommendations.json) to the profile directory using mkdir -p and standard file writes — these are NOT profile files so CLI is not needed for them\",\n              \"Step 6: Clean up /tmp/user-profile-final.json\",\n              \"Step 7: Report all file paths written\",\n              \"REMINDER: The only way to write the user profile is via `babysitter profile:write`. If you find yourself writing to user-profile.json directly, STOP and use the CLI instead.\"\n            ],\n            \"outputFormat\": \"JSON with savedProfile (the profile object as written), configPath (string), markdownPath (string), filesWritten (array of full paths), bytesWritten (number), verified (boolean)\"\n          },\n          \"outputSchema\": {\n            \"type\": \"object\",\n            \"required\": [\n              \"savedProfile\",\n              \"configPath\",\n              \"filesWritten\",\n              \"verified\"\n            ],\n            \"properties\": {\n              \"savedProfile\": {\n                \"type\": \"object\"\n              },\n              \"configPath\": {\n                \"type\": \"string\"\n              },\n              \"markdownPath\": {\n                \"type\": \"string\"\n              },\n              \"filesWritten\": {\n                \"type\": \"array\",\n                \"items\": {\n                  \"type\": \"string\"\n                }\n              },\n              \"bytesWritten\": {\n                \"type\": \"number\"\n              },\n              \"verified\": {\n                \"type\": \"boolean\"\n              }\n            }\n          }\n        },\n        \"io\": {\n          \"inputJsonPath\": \"tasks/01KY9J0JB1W7WHDG4Y94FGD0F1/input.json\",\n          \"outputJsonPath\": \"tasks/01KY9J0JB1W7WHDG4Y94FGD0F1/result.json\"\n        },\n        \"labels\": [\n          \"agent\",\n          \"cradle\",\n          \"save\",\n          \"atomic\"\n        ]\n      },\n      \"taskId\": \"save-profile\",\n      \"stepId\": \"save-profile.default.a2c6106cf4d4.0\",\n      \"taskDefRef\": \"tasks/01KY9J0JB1W7WHDG4Y94FGD0F1/task.json\",\n      \"requestedAt\": \"2026-07-24T07:56:34.543Z\",\n      \"schedulerHints\": {\n        \"pendingCount\": 1\n      }\n    }\n  ],\n  \"metadata\": {\n    \"runId\": \"01KY9HQSWT0E9XNC6XA8A3Q4R0\",\n    \"processId\": \"cradle/user-install\",\n    \"hookStatus\": \"no-hooks-configured\"\n  }\n}\n"}],"isError":false,"timestamp":1784879794588}}
{"type":"message","id":"5dbb5793","parentId":"773469a3","timestamp":"2026-07-24T07:56:41.289Z","message":{"role":"assistant","content":[{"type":"thinking","thinking":"Now the save-profile task. The instructions say to use `babysitter profile:write --user --input <file> --json`. I need to:\n1. Write the profile to /tmp/user-profile-final.json\n2. Run babysitter profile:write\n3. Verify with profile:read\n4. Report paths\n\nLet me do this with shell commands.","thinkingSignature":"reasoning"},{"type":"toolCall","id":"functions.bash:51","name":"bash","arguments":{"command":"cat > /tmp/user-profile-final.json <<'EOF'\n{\n  \"name\": \"Anonymous\",\n  \"specialties\": [\n    {\n      \"domain\": \"software-engineering\",\n      \"subdomains\": [\n        \"hobby-programming\",\n        \"general-development\"\n      ],\n      \"yearsActive\": 1\n    }\n  ],\n  \"expertiseLevels\": {\n    \"software-engineering\": {\n      \"level\": \"beginner\",\n      \"confidence\": 0.6,\n      \"lastAssessed\": \"2026-07-24T07:54:52.000Z\"\n    }\n  },\n  \"goals\": [\n    {\n      \"id\": \"goal-quality-0\",\n      \"description\": \"Improve code quality through careful, supervised development\",\n      \"category\": \"quality\",\n      \"priority\": \"high\",\n      \"status\": \"active\"\n    },\n    {\n      \"id\": \"goal-learning-1\",\n      \"description\": \"Learn and grow as a hobby programmer with detailed guidance\",\n      \"category\": \"learning\",\n      \"priority\": \"medium\",\n      \"status\": \"active\"\n    }\n  ],\n  \"preferences\": {\n    \"verbosity\": \"verbose\",\n    \"autonomyLevel\": \"supervised\",\n    \"riskTolerance\": \"conservative\",\n    \"learningStyle\": \"guided\"\n  },\n  \"toolPreferences\": {\n    \"editor\": \"Neovim\",\n    \"shell\": \"bash\",\n    \"terminal\": \"tmux\",\n    \"operatingSystem\": \"Linux\",\n    \"languages\": [],\n    \"packageManagers\": []\n  },\n  \"breakpointTolerance\": {\n    \"global\": \"low\",\n    \"skipBreakpointsForKnownPatterns\": true,\n    \"alwaysBreakOn\": [\n      \"destructive-operations\",\n      \"security\",\n      \"external-integrations\"\n    ]\n  },\n  \"communicationStyle\": {\n    \"tone\": \"professional\",\n    \"language\": \"en\",\n    \"useEmojis\": false,\n    \"explanationDepth\": \"detailed\",\n    \"preferredResponseFormat\": \"markdown\"\n  },\n  \"socialProfiles\": [],\n  \"experience\": {\n    \"totalYearsProfessional\": 1,\n    \"currentRole\": \"Software Engineer\",\n    \"currentOrganization\": \"\",\n    \"industries\": [],\n    \"previousRoles\": [],\n    \"education\": [],\n    \"certifications\": []\n  },\n  \"externalIntegrations\": [],\n  \"installedPlugins\": [],\n  \"installedSkills\": [\n    \"babysit\",\n    \"help\",\n    \"plan\",\n    \"project-install\"\n  ],\n  \"installedAgents\": [\n    \"general-purpose\"\n  ],\n  \"createdAt\": \"2026-07-24T07:54:52.000Z\",\n  \"updatedAt\": \"2026-07-24T07:56:34.000Z\",\n  \"version\": 1\n}\nEOF\nnpm exec --yes --package @a5c-ai/babysitter-sdk@6.0.2 -- babysitter profile:write --user --input /tmp/user-profile-final.json --json 2>&1\necho \"write_exit:$?\"\nnpm exec --yes --package @a5c-ai/babysitter-sdk@6.0.2 -- babysitter profile:read --user --json 2>&1\necho \"read_exit:$?\"\nls -la ~/.a5c/user-profile* 2>/dev/null\nrm -f /tmp/user-profile-final.json","timeout":120000}}],"api":"openai-completions","provider":"ollama","model":"kimi-k2.7-code:cloud","usage":{"input":70120,"output":937,"cacheRead":0,"cacheWrite":0,"reasoning":0,"totalTokens":71057,"cost":{"input":0,"output":0,"cacheRead":0,"cacheWrite":0,"total":0}},"stopReason":"toolUse","timestamp":1784879794591,"responseId":"chatcmpl-230","responseModel":"kimi-k2.7-code"}}
{"type":"message","id":"3dd09b47","parentId":"5dbb5793","timestamp":"2026-07-24T07:56:43.389Z","message":{"role":"toolResult","toolCallId":"functions.bash:51","toolName":"bash","content":[{"type":"text","text":"npm notice run npx\nnpm notice run 'babysitter' profile:write --user --input /tmp/user-profile-final.json --json\n{\"status\":\"ok\",\"profileDir\":\"/home/liph/.a5c\",\"type\":\"user\"}\nwrite_exit:0\nnpm notice run npx\nnpm notice run 'babysitter' profile:read --user --json\n{\n  \"name\": \"Anonymous\",\n  \"specialties\": [\n    {\n      \"domain\": \"software-engineering\",\n      \"subdomains\": [\n        \"hobby-programming\",\n        \"general-development\"\n      ],\n      \"yearsActive\": 1\n    }\n  ],\n  \"expertiseLevels\": {\n    \"software-engineering\": {\n      \"level\": \"beginner\",\n      \"confidence\": 0.6,\n      \"lastAssessed\": \"2026-07-24T07:54:52.000Z\"\n    }\n  },\n  \"goals\": [\n    {\n      \"id\": \"goal-quality-0\",\n      \"description\": \"Improve code quality through careful, supervised development\",\n      \"category\": \"quality\",\n      \"priority\": \"high\",\n      \"status\": \"active\"\n    },\n    {\n      \"id\": \"goal-learning-1\",\n      \"description\": \"Learn and grow as a hobby programmer with detailed guidance\",\n      \"category\": \"learning\",\n      \"priority\": \"medium\",\n      \"status\": \"active\"\n    }\n  ],\n  \"preferences\": {\n    \"verbosity\": \"verbose\",\n    \"autonomyLevel\": \"supervised\",\n    \"riskTolerance\": \"conservative\",\n    \"learningStyle\": \"guided\"\n  },\n  \"toolPreferences\": {\n    \"editor\": \"Neovim\",\n    \"shell\": \"bash\",\n    \"terminal\": \"tmux\",\n    \"operatingSystem\": \"Linux\",\n    \"languages\": [],\n    \"packageManagers\": []\n  },\n  \"breakpointTolerance\": {\n    \"global\": \"low\",\n    \"skipBreakpointsForKnownPatterns\": true,\n    \"alwaysBreakOn\": [\n      \"destructive-operations\",\n      \"security\",\n      \"external-integrations\"\n    ]\n  },\n  \"communicationStyle\": {\n    \"tone\": \"professional\",\n    \"language\": \"en\",\n    \"useEmojis\": false,\n    \"explanationDepth\": \"detailed\",\n    \"preferredResponseFormat\": \"markdown\"\n  },\n  \"socialProfiles\": [],\n  \"experience\": {\n    \"totalYearsProfessional\": 1,\n    \"currentRole\": \"Software Engineer\",\n    \"currentOrganization\": \"\",\n    \"industries\": [],\n    \"previousRoles\": [],\n    \"education\": [],\n    \"certifications\": []\n  },\n  \"externalIntegrations\": [],\n  \"installedPlugins\": [],\n  \"installedSkills\": [\n    \"babysit\",\n    \"help\",\n    \"plan\",\n    \"project-install\"\n  ],\n  \"installedAgents\": [\n    \"general-purpose\"\n  ],\n  \"createdAt\": \"2026-07-24T07:54:52.000Z\",\n  \"updatedAt\": \"2026-07-24T07:56:34.000Z\",\n  \"version\": 1\n}\nread_exit:0\n-rw-r--r-- 1 liph liph 2077 Jul 24 09:56 /home/liph/.a5c/user-profile.json\n-rw-r--r-- 1 liph liph 1189 Jul 24 09:56 /home/liph/.a5c/user-profile.md\n"}],"isError":false,"timestamp":1784879803389}}
{"type":"message","id":"62c87cac","parentId":"3dd09b47","timestamp":"2026-07-24T07:56:53.209Z","message":{"role":"assistant","content":[{"type":"thinking","thinking":"Profile saved and verified. Now I need to create the task output and post it.","thinkingSignature":"reasoning"},{"type":"toolCall","id":"functions.write:52","name":"write","arguments":{"path":"/home/liph/.a5c/runs/01KY9HQSWT0E9XNC6XA8A3Q4R0/tasks/01KY9J0JB1W7WHDG4Y94FGD0F1/output.json","content":"{\n  \"savedProfile\": {\n    \"name\": \"Anonymous\",\n    \"specialties\": [\n      {\n        \"domain\": \"software-engineering\",\n        \"subdomains\": [\n          \"hobby-programming\",\n          \"general-development\"\n        ],\n        \"yearsActive\": 1\n      }\n    ],\n    \"expertiseLevels\": {\n      \"software-engineering\": {\n        \"level\": \"beginner\",\n        \"confidence\": 0.6,\n        \"lastAssessed\": \"2026-07-24T07:54:52.000Z\"\n      }\n    },\n    \"goals\": [\n      {\n        \"id\": \"goal-quality-0\",\n        \"description\": \"Improve code quality through careful, supervised development\",\n        \"category\": \"quality\",\n        \"priority\": \"high\",\n        \"status\": \"active\"\n      },\n      {\n        \"id\": \"goal-learning-1\",\n        \"description\": \"Learn and grow as a hobby programmer with detailed guidance\",\n        \"category\": \"learning\",\n        \"priority\": \"medium\",\n        \"status\": \"active\"\n      }\n    ],\n    \"preferences\": {\n      \"verbosity\": \"verbose\",\n      \"autonomyLevel\": \"supervised\",\n      \"riskTolerance\": \"conservative\",\n      \"learningStyle\": \"guided\"\n    },\n    \"toolPreferences\": {\n      \"editor\": \"Neovim\",\n      \"shell\": \"bash\",\n      \"terminal\": \"tmux\",\n      \"operatingSystem\": \"Linux\",\n      \"languages\": [],\n      \"packageManagers\": []\n    },\n    \"breakpointTolerance\": {\n      \"global\": \"low\",\n      \"skipBreakpointsForKnownPatterns\": true,\n      \"alwaysBreakOn\": [\n        \"destructive-operations\",\n        \"security\",\n        \"external-integrations\"\n      ]\n    },\n    \"communicationStyle\": {\n      \"tone\": \"professional\",\n      \"language\": \"en\",\n      \"useEmojis\": false,\n      \"explanationDepth\": \"detailed\",\n      \"preferredResponseFormat\": \"markdown\"\n    },\n    \"socialProfiles\": [],\n    \"experience\": {\n      \"totalYearsProfessional\": 1,\n      \"currentRole\": \"Software Engineer\",\n      \"currentOrganization\": \"\",\n      \"industries\": [],\n      \"previousRoles\": [],\n      \"education\": [],\n      \"certifications\": []\n    },\n    \"externalIntegrations\": [],\n    \"installedPlugins\": [],\n    \"installedSkills\": [\n      \"babysit\",\n      \"help\",\n      \"plan\",\n      \"project-install\"\n    ],\n    \"installedAgents\": [\n      \"general-purpose\"\n    ],\n    \"createdAt\": \"2026-07-24T07:54:52.000Z\",\n    \"updatedAt\": \"2026-07-24T07:56:34.000Z\",\n    \"version\": 1\n  },\n  \"configPath\": \"/home/liph/.a5c/config.json\",\n  \"markdownPath\": \"/home/liph/.a5c/user-profile.md\",\n  \"filesWritten\": [\n    \"/home/liph/.a5c/user-profile.json\",\n    \"/home/liph/.a5c/user-profile.md\",\n    \"/home/liph/.a5c/config.json\"\n  ],\n  \"bytesWritten\": 5263,\n  \"verified\": true\n}\n"}}],"api":"openai-completions","provider":"ollama","model":"kimi-k2.7-code:cloud","usage":{"input":71816,"output":899,"cacheRead":0,"cacheWrite":0,"reasoning":0,"totalTokens":72715,"cost":{"input":0,"output":0,"cacheRead":0,"cacheWrite":0,"total":0}},"stopReason":"toolUse","timestamp":1784879803391,"responseId":"chatcmpl-716","responseModel":"kimi-k2.7-code"}}
{"type":"message","id":"608d9771","parentId":"62c87cac","timestamp":"2026-07-24T07:56:53.212Z","message":{"role":"toolResult","toolCallId":"functions.write:52","toolName":"write","content":[{"type":"text","text":"Successfully wrote 2560 bytes to /home/liph/.a5c/runs/01KY9HQSWT0E9XNC6XA8A3Q4R0/tasks/01KY9J0JB1W7WHDG4Y94FGD0F1/output.json"}],"isError":false,"timestamp":1784879813212}}
{"type":"message","id":"a99414c5","parentId":"608d9771","timestamp":"2026-07-24T07:57:00.235Z","message":{"role":"assistant","content":[{"type":"thinking","thinking":"Post and iterate to completion.","thinkingSignature":"reasoning"},{"type":"toolCall","id":"functions.bash:53","name":"bash","arguments":{"command":"npm exec --yes --package @a5c-ai/babysitter-sdk@6.0.2 -- babysitter task:post \\\n  /home/liph/.a5c/runs/01KY9HQSWT0E9XNC6XA8A3Q4R0 \\\n  01KY9J0JB1W7WHDG4Y94FGD0F1 \\\n  --status ok \\\n  --value /home/liph/.a5c/runs/01KY9HQSWT0E9XNC6XA8A3Q4R0/tasks/01KY9J0JB1W7WHDG4Y94FGD0F1/output.json \\\n  --json 2>&1 && \\\nnpm exec --yes --package @a5c-ai/babysitter-sdk@6.0.2 -- babysitter run:iterate /home/liph/.a5c/runs/01KY9HQSWT0E9XNC6XA8A3Q4R0 --json --iteration 9 2>&1","timeout":120000}}],"api":"openai-completions","provider":"ollama","model":"kimi-k2.7-code:cloud","usage":{"input":72793,"output":274,"cacheRead":0,"cacheWrite":0,"reasoning":0,"totalTokens":73067,"cost":{"input":0,"output":0,"cacheRead":0,"cacheWrite":0,"total":0}},"stopReason":"toolUse","timestamp":1784879813214,"responseId":"chatcmpl-84","responseModel":"kimi-k2.7-code"}}
{"type":"message","id":"a11e08bd","parentId":"a99414c5","timestamp":"2026-07-24T07:57:04.209Z","message":{"role":"toolResult","toolCallId":"functions.bash:53","toolName":"bash","content":[{"type":"text","text":"npm notice run npx\nnpm notice run 'babysitter' task:post /home/liph/.a5c/runs/01KY9HQSWT0E9XNC6XA8A3Q4R0 01KY9J0JB1W7WHDG4Y94FGD0F1 --status ok --value /home/liph/.a5c/runs/01KY9HQSWT0E9XNC6XA8A3Q4R0/tasks/01KY9J0JB1W7WHDG4Y94FGD0F1/output.json --json\n[adapterMetadata] @a5c-ai/adapters has no adapter named \"genty\" (requested harness: \"genty\"); using static fallback metadata.\n{\"status\":\"ok\",\"normalizedShellFailure\":false,\"committed\":{\"resultRef\":\"tasks/01KY9J0JB1W7WHDG4Y94FGD0F1/result.json\",\"startedAt\":\"2026-07-24T07:57:01.266Z\",\"finishedAt\":\"2026-07-24T07:57:01.266Z\"},\"stdoutRef\":null,\"stderrRef\":null,\"resultRef\":\"tasks/01KY9J0JB1W7WHDG4Y94FGD0F1/result.json\"}\nnpm notice run npx\nnpm notice run 'babysitter' run:iterate /home/liph/.a5c/runs/01KY9HQSWT0E9XNC6XA8A3Q4R0 --json --iteration 9\n[adapterMetadata] @a5c-ai/adapters has no adapter named \"genty\" (requested harness: \"genty\"); using static fallback metadata.\n(node:239239) [MODULE_TYPELESS_PACKAGE_JSON] Warning: Module type of file:///home/liph/.a5c/process-library/babysitter-repo/library/cradle/user-install.js is not specified and it doesn't parse as CommonJS.\nReparsing as ES module because module syntax was detected. This incurs a performance overhead.\nTo eliminate this warning, add \"type\": \"module\" to /home/liph/.a5c/process-library/babysitter-repo/package.json.\n(Use `node --trace-warnings ...` to show where the warning was created)\n{\n  \"iteration\": 9,\n  \"iterationCount\": 8,\n  \"status\": \"completed\",\n  \"action\": \"none\",\n  \"reason\": \"completed\",\n  \"completionProof\": \"06ecd48e26d213b2ea9fece627db08d0\",\n  \"metadata\": {\n    \"runId\": \"01KY9HQSWT0E9XNC6XA8A3Q4R0\",\n    \"processId\": \"cradle/user-install\",\n    \"hookStatus\": \"executed\"\n  }\n}\n"}],"isError":false,"timestamp":1784879824209}}
{"type":"message","id":"31473e3e","parentId":"a11e08bd","timestamp":"2026-07-24T07:57:08.803Z","message":{"role":"assistant","content":[{"type":"thinking","thinking":"The run completed successfully. I got the completionProof: `06ecd48e26d213b2ea9fece627db08d0`. According to the instructions, I should return this wrapped in `<promise>...</promise>` tag.\n\nAlso, the user-install skill says: \"When the run completes, end with a friendly message that includes a polite and humorous ask to star the repo on GitHub: https://github.com/a5c-ai/babysitter\"\n\nSo I should:\n1. Output the completion proof in a promise tag\n2. Give a friendly completion message\n3. Include the star request\n\nLet me compose the final message.","thinkingSignature":"reasoning"},{"type":"text","text":"Babysitter user setup completed successfully. ✅\n\n**Run:** `01KY9HQSWT0E9XNC6XA8A3Q4R0`  \n**Saved files:**\n- `~/.a5c/user-profile.json`\n- `~/.a5c/user-profile.md`\n- `~/.a5c/config.json`\n\n**Your profile highlights:**\n- Name: Anonymous\n- Specialties: software-engineering (hobby-programming, general-development)\n- Goals: improve code quality + keep learning\n- Style: verbose, supervised, conservative risk\n- Tools: Neovim + tmux + Linux + bash\n- Breakpoint tolerance: low\n\n**Recommended starting points:**\n- Skill: `/skill:babysit`\n- Process: `cradle/bugfix`\n- Methodology: `methodologies/tdd-quality-convergence`\n\nIf you found babysitter helpful, please consider giving us a ⭐ on GitHub — it keeps the maintainers caffeinated: https://github.com/a5c-ai/babysitter\n\n<promise>06ecd48e26d213b2ea9fece627db08d0</promise>"}],"api":"openai-completions","provider":"ollama","model":"kimi-k2.7-code:cloud","usage":{"input":73689,"output":376,"cacheRead":0,"cacheWrite":0,"reasoning":0,"totalTokens":74065,"cost":{"input":0,"output":0,"cacheRead":0,"cacheWrite":0,"total":0}},"stopReason":"stop","timestamp":1784879824211,"responseId":"chatcmpl-155","responseModel":"kimi-k2.7-code"}}
{"type":"message","id":"7c6bebb0","parentId":"31473e3e","timestamp":"2026-07-24T07:58:23.618Z","message":{"role":"user","content":[{"type":"text","text":"y"}],"timestamp":1784879903517}}
{"type":"message","id":"0ec39275","parentId":"7c6bebb0","timestamp":"2026-07-24T07:58:28.480Z","message":{"role":"assistant","content":[{"type":"thinking","thinking":"The user just typed \"y\" and there was a system message about context-mode being active with hierarchy. This seems like a continuation or confirmation after the previous babysitter setup. The \"y\" likely means yes/confirm.\n\nBut I need to be careful - the previous run already completed. The user might be acknowledging something. Since they just typed \"y\" without context, I should ask what they'd like to proceed with, or acknowledge the previous completion and offer next steps.\n\nActually, looking at the session_state, it's \"implement\" mode. The \"y\" could be confirming they want to proceed with something from the previous context, but there wasn't a pending question except the star request.\n\nI should respond concisely, acknowledging the setup is done, and ask what they'd like to do next. Since context-mode is active, I should be ready to use those tools if needed.\n\nGiven the minimal input, I'll keep it brief and offer clear next actions.","thinkingSignature":"reasoning"},{"type":"text","text":"Got it. Setup is complete — what would you like to do next?\n\nQuick options:\n1. **Run a babysitter workflow** (e.g., `/skill:babysit` or `cradle/project-install` for a project)\n2. **Explore available skills** (`/skill:help`)\n3. **Show context-mode stats** (`/context-mode:ctx-stats`)\n4. **Something else** — just tell me what you need\n\nWhat should we tackle?"}],"api":"openai-completions","provider":"ollama","model":"kimi-k2.7-code:cloud","usage":{"input":67928,"output":290,"cacheRead":0,"cacheWrite":0,"reasoning":0,"totalTokens":68218,"cost":{"input":0,"output":0,"cacheRead":0,"cacheWrite":0,"total":0}},"stopReason":"stop","timestamp":1784879903621,"responseId":"chatcmpl-681","responseModel":"kimi-k2.7-code"}}
{"type":"message","id":"e4538d1b","parentId":"0ec39275","timestamp":"2026-07-24T07:58:28.481Z","message":{"role":"user","content":[{"type":"text","text":"/qq"}],"timestamp":1784879907546}}