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 agentmods add skills/a5c-ai/babysitter/meeting-processingnpx skills add a5c-ai/babysitter --skill meeting-processinggit 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/meeting-processing)<a href="https://agentmods.dev/skills/a5c-ai/babysitter/meeting-processing"><img src="https://agentmods.dev/badge/skills/a5c-ai/babysitter/meeting-processing.svg" alt="Measured on agentmods" 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 | $0.00020 | $0.00372 |
| Opus 5 | $0.00010 | $0.00186 |
| Sonnet 5 | $0.00004 | $0.00074 |
| Haiku 4.5 | $0.00002 | $0.00037 |
Grade A, and why
cog-meeting-processing 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 2d 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
- Extract decisions with context, rationale, and stakeholders
- Identify action items with owners, priorities, and deadlines
- Analyze team dynamics: engagement, alignment, collaboration quality
- Generate executive meeting summaries
- Segment transcripts into topics and discussion threads
- Route meeting artifacts to vault with project cross-references
Tool Use Instructions
- Use
file-readto load the meeting transcript or recording - Parse transcript and identify speakers against participant list
- Segment into topics and discussion threads
- Extract decisions with context and rationale
- Extract action items with owners and deadlines
- Analyze team dynamics (engagement, alignment, disagreements)
- Use
file-writeto create meeting notes in 03-professional - Use
file-searchto find related projects for cross-referencing - Use
git-committo commit meeting artifacts
Examples
{
"vaultPath": "./cog-vault",
"captureType": "meeting-transcript",
"transcriptPath": "./meeting-2026-03-02.txt",
"meetingTitle": "Sprint Planning Q1 W9",
"participants": ["Alex", "Jordan", "Sam"]
}
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.
- 2d ago First seen · 47 lines · 20 tokens per session scan A c4dbf617c943
cog-meeting-processing is a skill published in the GitHub repository a5c-ai/babysitter (1,769 stars, last pushed yesterday), licensed MIT. It adds 20 tokens to every session and 372 once invoked, about $0.0001 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
tutti-app-release
Set up, review, run, or debug external repositories that publish a Tutti workspace app through the reusable Tutti App Release GitHub Actions workflow. Use for caller workflows, tutti.app.json manifests, @tutti-os/app-release-tools, S3/CloudFront release hosting, latest.json, versions.json, catalog.json, catalog-only…
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-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.