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 codebase-mappinggit 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/codebase-mapping)<a href="https://agentmods.dev/skills/a5c-ai/babysitter/codebase-mapping"><img src="https://agentmods.dev/badge/skills/a5c-ai/babysitter/codebase-mapping/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/codebase-mapping"><img src="https://agentmods.dev/badge/skills/a5c-ai/babysitter/codebase-mapping.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 | $0.00031 | $0.00362 |
| Opus 5 | $0.00015 | $0.00181 |
| Sonnet 5 | $0.00006 | $0.00072 |
| Haiku 4.5 | $0.00003 | $0.00036 |
Grade A, and why
codebase-mapping 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
- Directory tree with depth-limited enumeration
- Key file identification (entry points, configs, lock files)
File Type Distribution
- Language breakdown (TypeScript, JavaScript, Python, etc.)
- Framework detection (React, Next.js, Express, etc.)
Entry Points
- Main entry files (index, main, app)
- CLI entry points
- API route definitions
Module Dependencies
- Import graph analysis
- Package boundary mapping
- Circular dependency detection
Test Layout
- Test directory structure
- Test file patterns and conventions
- Test framework identification
Context Injection
The codebase map is injected as invisible context during UserPromptSubmit, providing:
- Project type and framework awareness
- Convention awareness for code generation
- Dependency awareness for import suggestions
- Test pattern awareness for test generation
When to Use
- Automatically at ClaudeKit session start
- When project structure changes significantly
- Before research or specification tasks
Processes Used By
claudekit-orchestrator(session initialization)claudekit-research(context for research agents)claudekit-spec-workflow(context for spec creation)
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 · 54 lines · 31 tokens per session scan A 0bfb483a8e53
codebase-mapping is a skill published in the GitHub repository a5c-ai/babysitter (1,788 stars, last pushed 6d ago), licensed MIT. It adds 31 tokens to every session and 362 once invoked, about $0.0002 per session on Opus 5. 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 2026-09-03.
Other skills, from other repositories
goga-review-plan
Verify execution plan completeness and correctness.
goga-brainstorm
Pipeline orchestrator for brainstorming the cells architecture.
goga-define-challenge
Challenge the complete product definition before the PRD is generated.
goga-define-experience
Define the user experience required to achieve the established product goals and solve the identified problem.
goga-define-goals
Define the product outcomes that should be achieved by solving the identified problem for the relevant users.
goga-brainstorm-cell-assembly
Assembling CODEMANIFEST and .usages per cell, with final approval.