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.
Borrowing it
Nothing to install: this file belongs to a5c-ai/babysitter. Take a copy, put it at the same path in your own repository, and replace the rules that are about this project with yours.
curl -O https://raw.githubusercontent.com/a5c-ai/babysitter/main/AGENTS.mdgit 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/instructions/a5c-ai/babysitter/agents-md)<a href="https://agentmods.dev/instructions/a5c-ai/babysitter/agents-md"><img src="https://agentmods.dev/badge/instructions/a5c-ai/babysitter/agents-md/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/instructions/a5c-ai/babysitter/agents-md"><img src="https://agentmods.dev/badge/instructions/a5c-ai/babysitter/agents-md.svg" alt="Reviewed on agentmods" width="80" height="20"></a>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 | $0.00305 | $0.00305 |
| Opus 5.5 | $0.00122 | $0.00122 |
| Sonnet 5.5 | $0.00061 | $0.00061 |
| Haiku 4.5 | $0.00030 | $0.00030 |
Grade A, and why
babysitter AGENTS.md 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 2mo 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.
Copies of this mod
1 near-identical copy found in the catalogue:
- babysitter CLAUDE.md — 89% identical, 21 lines differ
What it actually says
AGENTS.md
This file is the short entrypoint for AI coding agents working in this repository.
Always use the Babysitter skill to fulfill user requests in this repo, but not agent-to-agent delegated requests.
Repo-Specific Overrides
- For
babysitter:callprocesses in this repo, do not generatekind: 'shell'subtasks unless the user explicitly asks for a shell-oriented workflow. - Keep breakpoints sparse. Use them only when user input is genuinely critical or ambiguous.
- Still include an interview phase when requirements are unclear.
Those rules are captured in more detail in docs/agent-reference/process-authoring.md.
Reference Map
- docs/agent-reference/README.md
- docs/agent-reference/command-surfaces.md
- docs/agent-reference/repo-map.md
- docs/agent-reference/runtime-and-layout.md
- docs/agent-reference/process-authoring.md
- docs/blueprints.md
- docs/plugins.md
Quick Commands
npm run build:sdk
npm run test:sdk
npm run verify:metadata
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.
- 2mo ago First seen · 32 lines · 305 tokens per session scan A c6e13469be42
babysitter AGENTS.md is an instructions file published in the GitHub repository a5c-ai/babysitter (1,890 stars, last pushed 5d ago), licensed MIT. It adds 305 tokens to every session, about $0.0012 per session on Opus 5.5. 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 2026-08-30.
babysitter AGENTS.md compared with instructions from other repositories
| Mod | Type | Stars | Last push | Licence | Scan | Tokens | Works with |
|---|---|---|---|---|---|---|---|
| babysitter AGENTS.mda5c-ai/babysitter | Instructions file | 1.9k | 5d ago | MIT | A | 305 | Codex, OpenCode |
| vscode buildNext.instructions.mdmicrosoft/vscode | Instructions file | 195k | yesterday | MIT | A | 9,719 | GitHub Copilot |
| next.js AGENTS.mdvercel/next.js | Instructions file | 143k | today | MIT | A | 7,461 | Codex, OpenCode |
| langchain AGENTS.mdlangchain-ai/langchain | Instructions file | 149k | today | MIT | A | 4,680 | Codex, OpenCode |
| vscode oss-third-party-notices.instructions.mdmicrosoft/vscode | Instructions file | 195k | yesterday | MIT | A | 5,516 | GitHub Copilot |
| vscode copilot-instructions.mdmicrosoft/vscode | Instructions file | 195k | yesterday | MIT | A | 3,093 | GitHub Copilot |
| deepseek-harness AGENTS.mddeepseek-ai/deepseek-harness | Instructions file | 274k | 2d ago | MIT | A | 4,313 | Codex, OpenCode |