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 security-scanninggit 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/security-scanning)<a href="https://agentmods.dev/skills/a5c-ai/babysitter/security-scanning"><img src="https://agentmods.dev/badge/skills/a5c-ai/babysitter/security-scanning/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/security-scanning"><img src="https://agentmods.dev/badge/skills/a5c-ai/babysitter/security-scanning.svg" alt="Reviewed on agentmods" width="80" height="20"></a>- NVIDIA SkillSpector warn
SkillSpector: 1 finding, up to medium
These are SkillSpector’s own severities. On a checked sample its high-severity flags on skills were ~96% false positives — a documented command, a public API, a “never do X” rule — so we show them as a caution to read, not a verdict. Why →
- medium Tool Misuse · line 27 Tool defaults are unsafe or overly permissive (e.g. disabled TLS verification, no authentication, world-writable permissions). Unsafe defaults widen the attack surface.Fix: Override unsafe defaults with secure settings (verify=True, auth required, restrictive permissions). Review and harden all tool configurations.
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 | $0.00026 | $0.00454 |
| Opus 5 | $0.00013 | $0.00227 |
| Sonnet 5 | $0.00005 | $0.00091 |
| Haiku 4.5 | $0.00003 | $0.00045 |
Grade A, and why
security-scanning scanned grade A with 1 finding 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.
Runs shell commandslowCapability
Expected in a hook, worth knowing in a rule or an instructions file.
- Process execution (child_process) What it actually says
- AWS access keys (AKIA pattern)
- GitHub tokens (ghp_, gho_, ghs_, ghr_)
- Generic API keys and bearer tokens
- Database connection strings with credentials
- Private keys (RSA, EC, SSH)
- JWT secrets and signing keys
- OAuth client secrets
- Slack tokens and webhooks
- Cloud provider credentials (GCP, Azure)
2. Permission Auditing
- File system read/write scope
- Network calls and protocols
- Process execution (child_process)
- File permissions (777, world-writable)
- CORS and CSP headers
- Docker privilege escalation
3. Hook Injection Analysis
- Git hooks for command injection
- npm lifecycle scripts (preinstall, postinstall)
- Claude Code hooks for unsafe patterns
- eval()/Function()/dynamic code execution
- Unvalidated user input in shell commands
4. MCP Risk Profiling
- Tool permission inventory
- Data exposure risk mapping
- Transport security (stdio vs SSE vs HTTP)
- Prompt injection via tool descriptions
- Rate limiting verification
5. Agent Config Review
- Model settings integrity
- Prompt injection resistance
- Tool allowlist scoping
- Output validation and sanitization
- Information leakage in error messages
Optional: Red Team Simulation
- Attack simulation against found vulnerabilities
- Exploitability rating: trivial, moderate, difficult, theoretical
- Blue-team defense recommendations
When to Use
- Pre-deployment security review
- New dependency introduction
- Hook or plugin configuration changes
- Agent or MCP server setup
Agents Used
security-reviewer(primary consumer)
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 · 67 lines · 26 tokens per session scan A 97a787c89ddf
security-scanning is a skill published in the GitHub repository a5c-ai/babysitter (1,788 stars, last pushed 6d ago), licensed MIT. It adds 26 tokens to every session and 454 once invoked, about $0.0001 per session on Opus 5. A static security scan graded it A with 1 finding (runs shell commands). No closer match exists in the catalogue, so it is treated as the original; first seen 2026-09-03.
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