onequery: Skill for Codex

.agents/skills/babysit-pr/SKILL.md

babysit-pr is a skill for Codex from wordbricks/onequery. It costs 114 tokens per session (2,938 once invoked), scanned A, original, Apache-2.0.

A GitHub pull-request watcher that repeatedly checks review comments, automated checks, and whether the pull request can be merged. It continues until the pull request is merged, closed, or needs a person's help.

In plain words
What is it for?
Use it after opening a pull request to monitor checks and reviews, investigate failed workflows, retry temporary failures, and report problems that need human decisions.
Why use it?
It removes the need to keep refreshing a pull request and checking whether tests or reviews have changed. It can diagnose failures, retry likely temporary failures, and handle suitable branch fixes.

Skill for Codex

Written for Codex: agents/openai.yaml present. Also seen: reads ~/.codex paths; installed under .agents/ (shared by several agents); mentions Codex.

This is wordbricks/onequery's own configuration. It tells Codex how to work on onequery itself, so it is not a mod to install elsewhere. Copy it as a starting point and replace the rules that are about this project. Everything onequery configures →

Reuse

Borrowing it

Nothing to install: this file belongs to wordbricks/onequery. Take a copy, put it at the same path in your own repository, and replace the rules that are about this project with yours.

Copy the file
curl -O https://raw.githubusercontent.com/wordbricks/onequery/main/.agents/skills/babysit-pr/SKILL.md
Clone the repo
git clone --depth 1 https://github.com/wordbricks/onequery

Made for: Codex.

Wrote 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.

agentmods badge for babysit-pr

README.md
[![agentmods](https://agentmods.dev/badge/skills/wordbricks/onequery/babysit-pr/github.svg)](https://agentmods.dev/skills/wordbricks/onequery/babysit-pr)
Your own site
<a href="https://agentmods.dev/skills/wordbricks/onequery/babysit-pr"><img src="https://agentmods.dev/badge/skills/wordbricks/onequery/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.

agentmods 80×15 button for babysit-pr

Your own site · 80×15
<a href="https://agentmods.dev/skills/wordbricks/onequery/babysit-pr"><img src="https://agentmods.dev/badge/skills/wordbricks/onequery/babysit-pr.svg" alt="Reviewed on agentmods" width="80" height="20"></a>
Per session 114 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 2,938 The whole file, excluding the scripts and references it only reads on demand.
Security scan A 0 findings. A grade says what 26 rules found in the file — not that it is safe.
Origin original No closer match found in the catalogue.
Token cost

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.

ModelPer sessionOnce invoked
Fable 5.1 $0.00114 $0.02938
Opus 5.5 $0.00046 $0.01175
Sonnet 5.5 $0.00023 $0.00588
Haiku 4.5 $0.00011 $0.00294

Measured 5d ago against content hash 8cd26c09d1de, method: parsed. Prices are Anthropic first-party input rates as of 2026-10-01, from the pricing page.

Security

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 5d ago.

The scan reads SKILL.md. This mod also ships 2 executable files (scripts/gh_pr_watch.py, scripts/test_gh_pr_watch.py), listed below but not scanned — reading those needs a real analyzer, not pattern matching.

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.

Origin

Copies of this mod

1 near-identical copy found in the catalogue:

.agents/skills/babysit-pr/SKILL.md · 188 lines

How it starts

The opening of the file, as written. The whole thing — 188 lines — stays where its author put it; the contents beside it link to each section on GitHub.

PR Babysitter

Objective

Babysit a PR persistently until one of these terminal outcomes occurs:

  • The PR is merged or closed.
  • A situation requires user help (for example CI infrastructure issues, repeated flaky failures after retry budget is exhausted, permission problems, or ambiguity that cannot be resolved safely).
  • Optional handoff milestone: the PR is currently green + mergeable + review-clean. Treat this as a progress state, not a watcher stop, so late-arriving review comments are still surfaced promptly while the PR remains open.

Do not stop merely because a single snapshot returns idle while checks are still pending.

Inputs

Accept any of the following:

  • No PR argument: infer the PR from the current branch (--pr auto)
  • PR number
  • PR URL

Core Workflow

  1. When the user asks to "monitor"/"watch"/"babysit" a PR, start with the watcher's continuous mode (--watch) unless you are intentionally doing a one-shot diagnostic snapshot.
  2. Run the watcher script to snapshot PR/review/CI state (or consume each streamed snapshot from --watch).
  3. Inspect the actions list in the JSON response.
  4. If diagnose_ci_failure is present, inspect failed run logs and classify the failure.
  5. If the failure is likely caused by the current branch, patch code locally, commit, and push.
  6. If process_review_comment is present, inspect surfaced review items and decide whether to address them.
  7. If a review item is actionable and correct, patch code locally, commit, push, and then mark the associated review thread/comment as resolved once the fix is on GitHub.
  8. If a review item from another author is non-actionable, already addressed, or not valid, post one reply on the comment/thread explaining that decision (for example answering the question or explaining why no change is needed). Prefix the GitHub reply body with [codex] so it is clear the response is automated. If the watcher later surfaces your own reply, treat that self-authored item as already handled and do not reply again.
  9. If the failure is likely flaky/unrelated and retry_failed_checks is present, rerun failed jobs with --retry-failed-now.
  10. If both actionable review feedback and retry_failed_checks are present, prioritize review feedback first; a new commit will retrigger CI, so avoid rerunning flaky checks on the old SHA unless you intentionally defer the review change.
  11. On every loop, look for newly surfaced review feedback before acting on CI failures or mergeability state, then verify mergeability / merge-conflict status (for example via gh pr view) alongside CI.
  12. After any push or rerun action, immediately return to step 1 and continue polling on the updated SHA/state.
  13. If you had been using --watch before pausing to patch/commit/push, relaunch --watch yourself in the same turn immediately after the push (do not wait for the user to re-invoke the skill).
  14. Repeat polling until stop_pr_closed appears or a user-help-required blocker is reached. A green + review-clean + mergeable PR is a progress milestone, not a reason to stop the watcher while the PR is still open.
  15. Maintain terminal/session ownership: while babysitting is active, keep consuming watcher output in the same turn; do not leave a detached --watch process running and then end the turn as if monitoring were complete.

Read the full file on GitHub · 188 lines

Files

What ships with it

5 files 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.

Changes

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.

  1. 5d ago First seen · 188 lines · 114 tokens per session scan A 8cd26c09d1de

Subscribe to this mod's changes

babysit-pr is a skill published in the GitHub repository wordbricks/onequery (17 stars, last pushed 2mo ago), licensed Apache-2.0. It adds 114 tokens to every session and 2,938 once invoked, about $0.0005 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 2026-09-25.