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babysitter:yolo · majiayu000 | DecimalAI

agent toolingby majiayu000

babysitter:yolo

majiayu000/babysitter:yolo

Source majiayu000/claude-skill-registry ↗License MIT

Start babysitting in non-interactive mode — no user interaction or breakpoints, fully autonomous execution.

SkillScore57Maintained

Automatic

Coding pack

Last verified 9/3/2026

What it changes

Passed 8 of 14 test cases with the skill, and 2 of 14 without it.

Without skill17%

With skill57%

Checks it passed that the model alone missed

Falls back to using CODEX_SESSION_ID variable
Includes --status ok in the task:post command
References run directory under path .a5c/runs/

and 11 more in the full report

12 fixed1 passed either way7 still failing3 broke

Pass-rate lift: +39 pp
Tokens: -44%
Agent turns: 0%
Response time: -44%

Model gemini-3.6-flashMeasured 9/3/2026v113 of 23 cases passed with skill · 14 comparable

Tokens, turns and time describe resource use, not a dollar price.

Use this skill

Save it into your project's skills folder. Claude Code picks it up in its next session.

curl -fsSL --create-dirs -o .claude/skills/majiayu000-babysitter-yolo/SKILL.md https://app.decimal.ai/s/majiayu000-babysitter-yolo/SKILL.md

Want it pinned and updatable? pip install "decimalai>=0.15", then decimalai skills add majiayu000-babysitter-yolo, and start Claude Code with claude --plugin-dir "$(git rev-parse --show-toplevel)/.agents"

1 · One-time — install the CLI (docs ↗)

pip install "decimalai>=0.15"

2 · Get the skill — writes .agents/skills/majiayu000-babysitter-yolo/ and pins it in .decimal/skills.lock

decimalai skills add majiayu000-babysitter-yolo

No CLI? Get the same file — curl · raw file

curl -fsSL --create-dirs -o .claude/skills/majiayu000-babysitter-yolo/SKILL.md https://app.decimal.ai/s/majiayu000-babysitter-yolo/SKILL.md

Raw file: /s/majiayu000-babysitter-yolo/SKILL.md ↗ · machine-readable summary at /s/majiayu000-babysitter-yolo.json ↗

Safety checks: 3 of 3 passed

Code scan CleanIntent PassedContent Clean

See it in action

One of 12 test cases the skill fixed. Same model, same prompt, with and without the skill.

1 of 12

Prompt

An autonomous execution run finished and produced the completion token PRF-99201. Format this token for final presentation.

What was checked, without and with the skill
Checked	Without skill	With skill
Encloses PRF-99201 inside promise XML opening and closing tags	Missed	Passed

case-11 · gemini-3.6-flash · 9/3/2026 · answers are capped and redacted

What's inside

The instructions your model reads when the skill loads.

SKILL.md45 linessingle file

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

Track record

Benchmark

8 / 14

test cases passed, vs 2 / 14 without

Adoption

Users: 0
Times used: 0

Safety and source details

SkillSafety

✓ 3 of 3 passed

Code scan15 of 15 checks clean

0 critical · 0 warning · 0 info — scanner v4 — 8/10/2026

View 15 scanner checks

live_secretremote_code_executionreverse_shelldata_exfiltrationssrf_metadataagent_snoopinganti_refusaldestructive_commandsobfuscated_unicodeunicode_homoglyphopaque_blobsuspicious_urltool_overreachtrigger_abuseprompt_injection_phrasing

IntentSafe

LLM judge · does the skill do what it claims

ContentClean

LLM judge · policy & harmful-content review

Source

Imported

majiayu000 / claude-skill-registry

skills/agent/yolo-a5c-ai-babysitter/SKILL.md

View on GitHub ↗

License MITImported 8/10/2026Version v1

More skills from the same source and nearby in the registry, with their headline benchmark lift.

Ready to supercharge your AI agents?

See it in action

What's inside

babysitter:yolo

Workflow

Track record

Benchmark

Adoption

SkillSafety

Source

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