Agent skill
babysitter:yolo
Start babysitting in non-interactive mode — no user interaction or breakpoints, fully autonomous execution.
Install this agent skill to your Project
npx add-skill https://github.com/majiayu000/claude-skill-registry/tree/main/skills/other/other/yolo-a5c-ai-babysitter
SKILL.md
babysitter:yolo
Identical to /babysitter:call but runs in non-interactive mode:
- Skip the interview phase — parse intent directly from the user's prompt
- Auto-approve all breakpoints — never pause for human approval
- No user questions — proceed autonomously through the entire orchestration loop
Workflow
- Parse the initial prompt to extract intent, scope, and requirements
- Research the repo structure to understand the codebase
- Search the process library for relevant specializations/methodologies
- Create the process .js file and inputs
- Create the run:
babysitter run:create \
--process-id <id> \
--entry <path>#<export> \
--inputs <inputs-file> \
--prompt "$PROMPT" \
--harness codex \
--session-id "${CODEX_THREAD_ID:-$CODEX_SESSION_ID}" \
--plugin-root "$CODEX_PLUGIN_ROOT" \
--json
- Iterate until completion — auto-resolve all breakpoints:
babysitter run:iterate .a5c/runs/<runId> --json --iteration <n>
For breakpoint effects, immediately post approval:
echo '{"approved":true,"response":"Auto-approved (yolo mode)"}' > tasks/<effectId>/output.json
babysitter task:post .a5c/runs/<runId> <effectId> --status ok --value tasks/<effectId>/output.json --json
- When
completionProofis emitted, return it wrapped in<promise>PROOF</promise>
Key Difference from /babysitter:call
The ONLY difference is that breakpoints are auto-approved and no user questions are asked. The orchestration loop, effect handling, and result posting are identical.
Recommended Agent Skills
Expand your agent's capabilities with these related and highly-rated skills.
agent-ops-spec
Manage specification documents in .agent/specs/. Use when user provides requirements, acceptance criteria, or feature descriptions that need to be tracked and validated against implementation.
agent-ops-state
Maintain .agent state files. Use at session start, after meaningful steps, and before concluding: read/update constitution/memory/focus/issues/baseline consistently.
agent-ops-spec
Manage specification documents in .agent/specs/. Use when user provides requirements, acceptance criteria, or feature descriptions that need to be tracked and validated against implementation.
agent-ops-testing
Test strategy, execution, and coverage analysis. Use when designing tests, running test suites, or analyzing test results beyond baseline checks.
agent-ops-testing
Test strategy, execution, and coverage analysis. Use when designing tests, running test suites, or analyzing test results beyond baseline checks.
agent-ops-state
Maintain .agent state files. Use at session start, after meaningful steps, and before concluding: read/update constitution/memory/focus/issues/baseline consistently.
Didn't find tool you were looking for?