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 catalog-babysitter-usersgit 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/catalog-babysitter-users)<a href="https://agentmods.dev/skills/a5c-ai/babysitter/catalog-babysitter-users"><img src="https://agentmods.dev/badge/skills/a5c-ai/babysitter/catalog-babysitter-users/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/catalog-babysitter-users"><img src="https://agentmods.dev/badge/skills/a5c-ai/babysitter/catalog-babysitter-users.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 | $0.00106 | $0.01429 |
| Opus 5 | $0.00053 | $0.00714 |
| Sonnet 5 | $0.00021 | $0.00286 |
| Haiku 4.5 | $0.00011 | $0.00143 |
Grade A, and why
catalog-babysitter-users 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 11d 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.
How it starts
The opening of the file, as written. The whole thing — 127 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Catalog Babysitter Users
Produce a curated, deduplicated catalog of public GitHub repositories that import defineTask from @a5c-ai/babysitter-sdk, stored at docs/repo-with-babysitter-processes.md. Refresh the catalog in-place when re-run; do not delete entries that no longer match (mark them as "last seen" instead, so the catalog is additive over time).
When to use
- User asks "who's using babysitter in the wild?", "find repos with babysitter processes", "refresh the catalog", "update the babysitter-users list".
- After a release, to see whether new adopters have appeared.
- Before a retrospective across external runs (see the sibling skill
retrospect-external-babysitter-run).
Prerequisites
ghCLI installed and authenticated (gh auth statusmust be OK). GitHub code search requires an authenticated user.- Writable working tree (the catalog file gets updated).
Exact search
Search the literal import statement across public code:
gh search code \
"import { defineTask } from '@a5c-ai/babysitter-sdk'" \
--json repository,path,url \
--limit 200
Also run the double-quote variant to catch formatter differences:
gh search code \
'import { defineTask } from "@a5c-ai/babysitter-sdk"' \
--json repository,path,url \
--limit 200
Union the two result sets. If the CLI caps out at 100 per query, paginate by adding language:javascript, language:typescript, and extension:js, extension:ts qualifiers to split the search space.
Filtering rules (apply in order)
- Drop any hit whose
repository.name(case-insensitive) equalsbabysitter. This excludes forks of this monorepo. - Drop any hit whose
repository.nameWithOwnerstarts witha5c-ai/-- those are first-party and already known. - Drop archived repos (
repository.isArchived === true). Enrich viagh api repos/<owner>/<name>if the search JSON lacks it. - Dedupe by
repository.nameWithOwner-- one entry per repo, even if multiple files match. Keep the count of matching files as evidence. - Drop private-visible-as-public fluke hits (repository.visibility !== 'public').
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.
- 11d ago First seen · 127 lines · 106 tokens per session scan A 8b7548e7c2f9
catalog-babysitter-users is a skill published in the GitHub repository a5c-ai/babysitter (1,788 stars, last pushed 5d ago), licensed MIT. It adds 106 tokens to every session and 1,429 once invoked, about $0.0005 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 2026-08-30.
Other skills, from other repositories
tutti-agent-workspace-app
Build or evolve a complex agent-enabled Tutti workspace app repository. Use for Tutti apps with web/server/shared monorepos, @tutti-os/agent-acp-kit local agent runtimes, kit-owned TUTTICLI agent/composer discovery, dynamic agent catalogs, run-scoped MCP tool gateways, app-owned package builders, web-first debugging…
goga-cookbook
Principles for applying DSL specification in cell and CODEMANIFEST design.
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-review-plan
Verify execution plan completeness and correctness.