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 Wibias/github-delivery --skill babysit-prgit clone --depth 1 https://github.com/Wibias/github-deliveryWrote 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/wibias/github-delivery/babysit-pr)<a href="https://agentmods.dev/skills/wibias/github-delivery/babysit-pr"><img src="https://agentmods.dev/badge/skills/wibias/github-delivery/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/wibias/github-delivery/babysit-pr"><img src="https://agentmods.dev/badge/skills/wibias/github-delivery/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 | $0.00039 | $0.00497 |
| Opus 5.5 | $0.00016 | $0.00199 |
| Sonnet 5.5 | $0.00008 | $0.00099 |
| Haiku 4.5 | $0.00004 | $0.00050 |
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 1mo 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 → github-delivery
OpenAI’s optional babysit-pr skill (npx skills add … --skill babysit-pr,
or repo-local .codex/skills/babysit-pr) polls CI/reviews via gh_pr_watch.py.
It is useful tooling, but it is not this user’s full ship loop (wake gate,
merge-ready bar, issue thanks, research/create).
If both are installed, prefer this redirect + github-delivery.
Do this instead
-
Load skill
github-delivery(~/.agents/skills/github-deliveryor~/.cursor/skills/github-delivery). -
Load
github-deliverySKILL.md. Classification:reuse— this alias reuses github-delivery rather than competing with it. Then load the matching workflow (policy modules are declared there):- Default for babysit/watch/monitor →
references/watch-pr.md - If they asked merge-ready →
references/fix-pr-bots.md
- Default for babysit/watch/monitor →
-
First command every wake (watch):
node "<github-delivery>/scripts/watch-wake-gate.mjs" OWNER/REPO NExit
1→ triage OWNER/MEMBER comments in code (rebase/drop overlap / keep leftovers); resolve DIRTY conflicts. ACK-only does not clear. Never report waiting on CI/CodeRabbit while exit1. -
Ordering: reviews/owners → tip update → CI. Never merge-base-then-idle.
-
Optional: you may still use
gh_pr_watch.pyas a snapshot helper if present, but decisions and owner triage follow github-delivery — the Python watcher is not the policy engine.
Do not
- Treat green + mergeable from babysit-pr as full merge-ready (no own bug/security/spec, no settle, no issue notify).
- Idle on CI/CodeRabbit while
watch-wake-gate.mjsexits1. - Skip github-delivery merge ceremony (issue author thanks) when asked to merge.
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.
- 1mo ago Changed 3aeb49343533
- 1mo ago Changed · -3 lines · -74 tokens per session 3ad0aeadac5f
- 2mo ago First seen · 42 lines · 113 tokens per session scan A 7dfa00604d8c
babysit-pr is a skill published in the GitHub repository Wibias/github-delivery (5 stars, last pushed 11d ago), licensed MIT. It adds 39 tokens to every session and 497 once invoked, about $0.0002 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 2026-08-31.
Other skills, from other repositories
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.
prowler-commit
Creates professional git commits following conventional-commits format. Trigger: When creating commits, after completing code changes, when user asks to commit.
gh-auth-isolation
Safely manage multiple GitHub identities (EMU + personal) in agent workflows.
comet-github
A routing guide for Comet-related GitHub work. It directs requests about pull requests, issues, CI failures, ideas, and fixes to the appropriate review or implementation process.
github-skill
Work with GitHub via the gh CLI — clone repositories, create/list/merge pull requests, create/list issues, and run any other gh command (API calls, workflow runs, releases, repo administration). List operations return parsed JSON.
release-helper
Ensures configuration and code changes are released correctly. Use PROACTIVELY whenever you edit config.json, change any setting, or fix a configuration bug in this project, so the change reaches production.