Babysitter is a workflow engine for AI coding agents that enforces predefined steps, quality checks, human approvals, and decision records. It is used to coordinate complex, repeatable agent workflows across supported coding tools. The catalogue contains skills, agents, instructions, settings, a plugin, and an MCP integration for its workflow.
Getting it into your agent
One page per mod, every tool's command on it. A separate URL per tool would split the same page into five that compete with each other.
npx skills add a5c-ai/babysitter --skill audit-trailgit clone --depth 1 https://github.com/a5c-ai/babysitterWrote this? Show the measurements
A badge with what this costs and how it scanned, read live from this page, so it follows the numbers instead of freezing them. Markdown for a README, HTML for a documentation site or a project page.
[](https://agentmods.dev/skills/a5c-ai/babysitter/audit-trail)<a href="https://agentmods.dev/skills/a5c-ai/babysitter/audit-trail"><img src="https://agentmods.dev/badge/skills/a5c-ai/babysitter/audit-trail/github.svg" alt="Measured on agentmods" height="20"></a>Or the 80×15 button, for a site that already has a row of RSS and ATOM ones. Only the verdict fits; the numbers stay here.
<a href="https://agentmods.dev/skills/a5c-ai/babysitter/audit-trail"><img src="https://agentmods.dev/badge/skills/a5c-ai/babysitter/audit-trail.svg" alt="Reviewed on agentmods" width="80" height="20"></a>- NVIDIA SkillSpector pass
What it costs to keep this loaded
Counted locally with the o200k_base tokenizer, which is exact for GPT models; Claude uses its own tokenizer and its counts differ. Treat this as one consistent yardstick across the catalogue rather than a bill. Prices are per million input tokens.
| Model | Per session | Once invoked |
|---|---|---|
| Fable 5.1 | $0.00000 | $0.00277 |
| Opus 5 | $0.00000 | $0.00138 |
| Sonnet 5 | $0.00000 | $0.00055 |
| Haiku 4.5 | $0.00000 | $0.00028 |
Grade A, and why
audit-trail scanned grade A with 0 findings against 26 rules in 11 categories — prompt injection, anti-refusal, data exfiltration, privilege escalation, supply chain, agent snooping, system-prompt leakage, SSRF and excessive agency — measured 9d ago.
A static scan of the body, not an audit. Every finding is printed with the line that produced it so you can judge whether it matters here. A mod is markdown that instructs an agent; that is exactly why what it instructs is worth reading.
Nothing flagged
None of the 26 patterns this scan looks for appear in this file: no shell pipes, no recursive deletes, no credential paths, no hidden text, no instruction-override or anti-refusal phrasing, no agent-config snooping. That is not a guarantee, it is the absence of the things that are checkable.
What it actually says
Audit Trail
Full traceability from PRD to code commit through the CCPM spec-driven pipeline.
Traceability Chain
PRD -> Epic -> Task -> GitHub Issue -> Code Commit
Capabilities
- PRD user story to task mapping
- Task to GitHub issue linking
- Commit to issue cross-referencing
- Coverage matrix generation
- Audit completeness verification
File Structure
.claude/
prds/<feature-name>.md # PRD with user stories
epics/<feature-name>/
epic.md # Technical epic
1.md, 2.md, ... # Individual tasks
tasks-index.md # Task index with traceability
Audit Verification
The tracking process (ccpm-tracking.js) verifies:
- Every PRD user story maps to at least one task
- Every task maps to a GitHub issue (if sync enabled)
- Every completed task has associated commits
- Coverage percentage is reported
What ships with it
1 file beside SKILL.md in the same directory: the scripts, references and assets a skill reads on demand. Not counted in the per-session cost; read them before you install if any of them is executable.
What this file has done since we first saw it
Hashed on every crawl. A supply-chain change to an agent config is a question of when, not whether, so the history is kept rather than the latest state alone.
- 9d ago First seen · 40 lines · 0 tokens per session scan A 97604bf5367d
audit-trail is a skill published in the GitHub repository a5c-ai/babysitter (1,778 stars, last pushed 3d ago), licensed MIT. It costs nothing until one of its globs matches a file; then it loads 277 tokens. A static security scan graded it A with 0 findings. No closer match exists in the catalogue, so it is treated as the original; first seen 2026-08-30.
Other skills, from other repositories
close
End session with verification, commits, and documentation.
session-end
Use this skill when performing a full session close-out: verifies all planned work against the agreed plan, creates issues for gaps, runs quality gates, commits cleanly, mirrors to GitHub, and produces a session summary. Triggered by /close command.
session-start
Use this skill when initializing a session for any project repo. Autonomously analyzes git state, VCS issues, SSOT files, branches, environment, and cross-repo status. Then presents structured findings with recommendations for user alignment before creating a wave plan. Triggered by /session…
tracking-tickets
Defines tracker status transitions and closing rules. Load when a pipeline run is linked to a ticket.
team-pr
Opens a pull request after verification. Trigger on "open the PR", "open a draft PR", or "/team-pr" only; never infer the phase from passed verification.
pr-watch-mechanics
Bounded watch-loop mechanics for the pr-watch skills: cycle timing, soft cap, handoff. Load when running or authoring a PR watch loop.