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Pr Draft Summary

Official
openai·vlatest·writing·MIT

Summarizes OpenAI pull request drafts, highlighting key changes, discussions, and potential areas needing review.

Repository

Install on your platform

Showing Claude Code. One command installs this skill into any of the agents below.

  1. 1

    Run this in your project

    terminal
    $ npx skills add openai/openai-agents-js --skill pr-draft-summary -a claude-code

  2. Uses the open-source skills CLI and needs Node.js. Add -g to install it for your user instead of this project.

What we know about this skill

Publisher

openai

Matched to the vendor's own GitHub organisation.

Install target

Live repository

Not pinned. Installing fetches whatever the repository holds at the time you run the command.

No human has reviewed this code. The checks below are a static scan of the files at one commit — nobody has run this skill or judged whether it works. A skill runs with whatever access you give your agent, so read the source before you install it.

Automated safety checks

scanned

This skill passed all 6 checks. We read its files at one commit and looked for the things that make a skill dangerous to run — not for whether it works.

  • Declares what it does: passed

    SKILL.md parses and declares a name and a description.

    SKILL.md exists, its frontmatter parses, and it declares a name and a description.

  • No undeclared network calls: passed

    Makes no network calls.

    Every host the skill dials — from its scripts, its config endpoints or the commands it tells the agent to run — is either well-known package and API infrastructure or declared in its own frontmatter. Links in documentation are not counted.

  • No obfuscated payloads: passed

    No encoded or obfuscated payloads.

    No base64, hex or compressed blob is decoded and then executed, and no encoded shell commands.

  • No credential access: passed

    Reads no keys, tokens, keychains or credential files.

    Neither the code nor the SKILL.md instructions read SSH keys, cloud credentials, keychains, token stores, browser cookie databases or dotfiles that hold secrets.

  • No pipe-to-shell installers: passed

    No pipe-to-shell or download-and-run installers.

    No `curl … | sh` pattern, in the code or in the instructions, that runs code fetched at run time.

  • Pinned to a commit: passed

    Scanned openai/openai-agents-js at fdaf0a66ca.

    The exact upstream commit SHA that was scanned is recorded, so the result refers to specific bytes.

Commit
fdaf0a66ca
Manifest
.agents/skills/pr-draft-summary/SKILL.md
Scanned
2 files, 75 lines
This is a static scan, not a review. It reads the skill's files; it does not run them, and it cannot tell you whether the skill is any good or whether the code does what its description says. A skill runs with whatever access you give your agent.
What each check looks for →

About this skill

What it does

This skill enables AI agents to automatically generate a draft summary for pull requests. It analyzes the code changes and context to produce a concise overview suitable for code review discussions.

When to use it

  • You need to quickly summarize large code diffs before submitting a pull request.
  • Your team requires consistent, structured summaries for every PR to streamline reviews.
  • You want to reduce manual writing time while ensuring key changes are highlighted.
  • You are integrating automated documentation into your CI/CD pipeline for new features.

Key capabilities

  • Generates draft summaries based on code changes in a pull request.
  • Provides a concise overview of the modifications made.
  • Tailors output to be suitable for immediate use in code review contexts.

Example prompts

  • "Create a draft summary for this pull request containing the latest feature updates."
  • "Generate a PR summary highlighting the main logic changes and potential impacts."
  • "Draft a concise review-ready summary for the recent bug fix commit."

Tips & gotchas

Ensure the AI agent has access to the full context of the codebase to generate accurate summaries. Review the generated draft before final submission to verify it aligns with team standards.