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 Kevin-Liu-01/Agent-Machines --skill babysitgit clone --depth 1 https://github.com/Kevin-Liu-01/Agent-MachinesWrote 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/kevin-liu-01/agent-machines/babysit)<a href="https://agentmods.dev/skills/kevin-liu-01/agent-machines/babysit"><img src="https://agentmods.dev/badge/skills/kevin-liu-01/agent-machines/babysit/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/kevin-liu-01/agent-machines/babysit"><img src="https://agentmods.dev/badge/skills/kevin-liu-01/agent-machines/babysit.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 | $0.00025 | $0.00299 |
| Opus 5 | $0.00013 | $0.00150 |
| Sonnet 5 | $0.00005 | $0.00060 |
| Haiku 4.5 | $0.00003 | $0.00030 |
Grade A, and why
babysit 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.
What it actually says
Babysit PR
Your job is to get this PR to a merge-ready state.
Check PR status, comments, and latest CI and resolve any issues until the PR is ready to merge.
- Merge conflicts: Intelligently resolve any merge conflicts, preserving the intent and correctness of changes on your branch and the base branch. If intents conflict, abort the merge and ask for clarification.
- Comments: Review active unresolved comments (including Bugbot) and resolve change requests / bug reports where valid. When fetching GitHub comments, filter out resolved threads first. Read only each comment body and the minimum location/URL needed to act on it; do not read the entire JSON output or other unnecessary payload data. Carefully validate issues reported by Bugbot and only take action on those that are valid; explain when you disagree or are unsure.
- CI: Fix CI issues caused by changes within this PR's scope. Never change CI checks/workflows just to make failures pass, or make unrelated code changes; if that would be required, report back instead. For merge-blocking failures that seem unrelated to this PR, check whether the branch is behind the base branch and merge latest changes, since another PR may have fixed them. Push scoped fixes and re-watch CI until mergeable + green + comments triaged.
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 · 15 lines · 25 tokens per session scan A b46766ed302c
babysit is a skill published in the GitHub repository Kevin-Liu-01/Agent-Machines (29 stars, last pushed yesterday), licensed MIT. It adds 25 tokens to every session and 299 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 2026-08-30.
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