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 acolomba/pi-claude-marketplace --skill babysit-prgit clone --depth 1 https://github.com/acolomba/pi-claude-marketplaceWrote 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/acolomba/pi-claude-marketplace/babysit-pr)<a href="https://agentmods.dev/skills/acolomba/pi-claude-marketplace/babysit-pr"><img src="https://agentmods.dev/badge/skills/acolomba/pi-claude-marketplace/babysit-pr/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/acolomba/pi-claude-marketplace/babysit-pr"><img src="https://agentmods.dev/badge/skills/acolomba/pi-claude-marketplace/babysit-pr.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 | $0.00092 | $0.00347 |
| Opus 5.5 | $0.00037 | $0.00139 |
| Sonnet 5.5 | $0.00018 | $0.00069 |
| Haiku 4.5 | $0.00009 | $0.00035 |
Grade A, and why
babysit-pr scanned grade A with 0 findings against 26 rules in 11 categories — prompt injection, anti-refusal, data exfiltration, privilege escalation, supply chain, agent snooping, system-prompt leakage, SSRF and excessive agency — measured 15d ago.
A static scan of the body, not an audit. Every finding is printed with the line that produced it so you can judge whether it matters here. A mod is markdown that instructs an agent; that is exactly why what it instructs is worth reading.
Nothing flagged
None of the 26 patterns this scan looks for appear in this file: no shell pipes, no recursive deletes, no credential paths, no hidden text, no instruction-override or anti-refusal phrasing, no agent-config snooping. That is not a guarantee, it is the absence of the things that are checkable.
What it actually says
Babysit PR
Run every subagent this skill spawns on Sonnet in Claude Code, or on gpt-5.6-terra where Sonnet is not offered.
Take an already-open pull request and harden it in three phases: a local review-convergence loop, a SonarQube pass once CI has analyzed the pushed head, and a milestone closeout when the branch ships a GSD milestone. The point is to hand a human reviewer a PR that already clears the automated bars, with the expensive review and fixing done in subagents rather than in this conversation's context.
Invoke this yourself after the PR exists ($ARGUMENTS is an optional PR number; default to the current branch's PR). It is safe to re-run -- a clean PR converges to a no-op.
Follow .agents/skills/babysit-pr/rules/procedure.md step by step.
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.
- 15d ago Changed · -86 lines · -5 tokens per session 9cd8d77b62c7
- 27d ago Changed · +26 lines · +24 tokens per session 081b287c6556
- 1mo ago Changed 24ee602a7c8c
- 1mo ago Changed · +3 lines 8ac7ecce6d69
- 1mo ago First seen · 76 lines · 73 tokens per session scan A b6f54ea63045
babysit-pr is a skill published in the GitHub repository acolomba/pi-claude-marketplace (28 stars, last pushed today), licensed MIT. It adds 92 tokens to every session and 347 once invoked, about $0.0004 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 2026-09-17.
Other skills, from other repositories
pr
Draft a PR body from OMC's paper trail — the smallest visual that proves the change, evidence consumed from the verify protocol (never re-collected), reversibility from the ADR test on the diff, glossary language throughout.
merge-batch
Prepare and merge an owner-selected PR batch with contributor credit and exact-candidate admission. Use for a pasted PR list; combined focused validation is diagnostic, and every actual landing still requires its applicable checks and authorization.
otto-pr-review-loop
Run Polly and OCR on a PR until all findings settle.
engram-branch-pr
PR creation workflow for Engram following the issue-first enforcement system. Trigger: When creating a pull request, opening a PR, or preparing changes for review.
github-contributor
A step-by-step guide for contributing code, tests, documentation, or build changes to open-source projects you do not maintain. It explains how to prepare a pull request that follows the project’s rules and is easier for maintainers to review.
revdiff
Review diffs, files, and documents with inline annotations in a TUI overlay, or answer questions about revdiff usage, configuration, themes, and keybindings. Opens revdiff in agterm/tmux/zellij/herdr/kitty/wezterm/cmux/ghostty/iterm2/emacs-vterm, captures annotations, and addresses them. Works in git, hg, and jj repos…