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openai/babysit-pr

Überwacht einen GitHub-Pull-Request nach der Erstellung, indem kontinuierlich Review-Kommentare, CI-Prüfungen/Workflow-Läufe und der Merge-Status abgefragt werden, bis der PR gemerged/geschlossen wird oder Benutzerhilfe erforderlich ist. Fehler werden diagnostiziert, mutmaßlich flaky Fehler bis zu 3 Mal wiederholt, und bei Bedarf werden branch-bezogene Probleme automatisch behoben und gepusht. Offene PRs werden weiter beobachtet, sodass neues Review-Feedback umgehend angezeigt wird. Verwenden Sie dies, wenn der Benutzer Codex bittet, einen PR zu überwachen, CI zu beobachten, Review-Kommentare zu bearbeiten oder Fehler und Feedback zu einem offenen PR im Auge zu behalten.

Was ist babysit-pr?

Diese Skill-Anleitung für einen KI-Agenten (z. B. in Verbindung mit Codex, Cursor oder Claude Code) beschreibt die Überwachung und Verwaltung eines GitHub-Pull-Requests nach dessen Erstellung. Der Agent fragt kontinuierlich Review-Kommentare, CI-Prüfungen, Workflow-Läufe und den Merge-Status ab, bis der PR gemerged oder geschlossen wird. Er diagnostiziert Fehler, wiederholt vermutlich flaky Fehler bis zu dreimal und behebt automatisch branch-bezogene Probleme, indem er Änderungen pusht. Offene PRs werden weiter beobachtet, sodass neues Feedback umgehend erkannt wird. Die Anleitung ist plattformunabhängig und kann in verschiedenen KI-Entwicklungsumgebungen eingesetzt werden, die GitHub-Integrationen unterstützen. Sie definiert klare Verhaltensweisen wie das Behandeln von Merge-Konflikten, das Aktualisieren von Branches und das Reagieren auf Review-Anfragen, um den Entwicklungs-Workflow zu automatisieren.

Funktioniert mit~Claude Code✓Codex CLI~Cursor

Part ofAgent Workflows

npx skills add https://github.com/openai/codex/tree/main/skills/babysit-pr

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Dokumentation

Was macht babysit-pr?

Individual skills in this repo

This repo contains 19 individual skills — each has its own dedicated page.

babysit-pr

Babysit a GitHub pull request after creation by continuously polling review comments, CI checks/workflow runs, and mergeability state until the PR is merged/closed or user help is required. Diagnose failures, retry likely flaky failures up to 3 times, auto-fix/push branch-related issues when appropriate, and keep watching open PRs so fresh review feedback is surfaced promptly. Use when the user asks Codex to monitor a PR, watch CI, handle review comments, or keep an eye on failures and feedback on an open PR.

code-review

Run a final code review on a pull request

code-review-change-size

Change size guidance (800 lines)

code-review-context

Model visible context

code-review-testing

Test authoring guidance

codex-bug

Diagnose GitHub bug reports in openai/codex. Use when given a GitHub issue URL from openai/codex and asked to decide next steps such as verifying against the repo, requesting more info, or explaining why it is not a bug; follow any additional user-provided instructions.

codex-issue-digest

Run a GitHub issue digest for openai/codex by feature-area labels, all areas, and configurable time windows. Use when asked to summarize recent Codex bug reports or enhancement requests, especially for owner-specific labels such as tui, exec, app, or similar areas.

codex-pr-body

Update the title and body of one or more pull requests.

imagegen

Generate or edit raster images when the task benefits from AI-created bitmap visuals such as photos, illustrations, textures, sprites, mockups, or transparent-background cutouts. Use when Codex should create a brand-new image, transform an existing image, or derive visual variants from references, and the output should be a bitmap asset rather than repo-native code or vector. Do not use when the task is better handled by editing existing SVG/vector/code-native assets, extending an established icon or logo system, or building the visual directly in HTML/CSS/canvas.

openai-docs

Use when the user asks how to build with OpenAI products or APIs, asks about Codex itself or choosing Codex surfaces, needs up-to-date official documentation with citations, help choosing the latest model for a use case, or model upgrade and prompt-upgrade guidance; use OpenAI docs MCP tools for non-Codex docs questions, use the Codex manual helper first for broad Codex self-knowledge, and restrict fallback browsing to official OpenAI domains.

openai/test-tui

Guide for testing Codex TUI interactively

path-types

Choose Rust types for operating system paths across the Codex repository. Use when defining new path-bearing types or explicitly migrating existing ones.

plugin-creator

Create and scaffold plugin directories for Codex with a required `.codex-plugin/plugin.json`, optional plugin folders/files, valid manifest defaults, and personal-marketplace entries by default. Use when Codex needs to create a new personal plugin, add optional plugin structure, generate or update marketplace entries for plugin ordering and availability metadata, or update an existing local plugin during development with the CLI-driven cachebuster and reinstall flow.

pushing-ci-changes

Pushing GitHub Actions changes, resolving push rejection, requesting upload exceptions.

remote-tests

Testing against remote executors in integration tests.

skill-creator

Guide for creating effective skills. This skill should be used when users want to create a new skill (or update an existing skill) that extends Codex's capabilities with specialized knowledge, workflows, or tool integrations.

skill-installer

Install Codex skills into $CODEX_HOME/skills from a curated list or a GitHub repo path. Use when a user asks to list installable skills, install a curated skill, or install a skill from another repo (including private repos).

test-tui