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Pr Draft Summary

Official
openai·vlatest·writing·MIT

Generates a concise PR draft summary based on provided content, streamlining communication and accelerating writing workflows.

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-python --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-python at e6c680672c.

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

Commit
e6c680672c
Manifest
.agents/skills/pr-draft-summary/SKILL.md
Scanned
2 files, 66 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

The pr-draft-summary skill enables AI agents to automatically generate concise, high-quality summaries for pull request descriptions. It analyzes code changes and context to produce clear overviews that highlight key modifications and improvements.

When to use it

  • Automating the initial draft of pull request descriptions in development workflows.
  • Ensuring consistent formatting and tone across multiple team contributions.
  • Saving time by reducing manual writing for routine or standard code updates.
  • Providing a quick reference overview for reviewers before diving into detailed code inspection.

Key capabilities

  • Generates structured summaries based on provided code changes.
  • Tailors output to fit specific project conventions or guidelines.
  • Integrates seamlessly with existing pull request workflows via the OpenAI Agents SDK.

Example prompts

  • "Draft a summary for this pull request describing the new authentication feature."
  • "Create a concise overview of the bug fixes included in this update."
  • "Generate a PR description highlighting performance improvements and dependencies added."

Tips & gotchas

Ensure the AI agent has access to the relevant codebase context or change logs before invoking this skill. While it produces strong drafts, always review the output for accuracy against specific project requirements.