pr-draft-summary

A checklist for preparing a pull request, including its title, summary, branch suggestion, and draft description. A pull request is a proposed code change submitted for review.

In plain words
What is it for?
Use it after changing runtime code, tests, examples, build or test settings, or behavior-related documentation in openai-agents-python. It prepares the written handoff before the final response.
Why use it?
It prevents required change details from being forgotten after eligible work is complete. It also makes the result ready to paste into a pull request without creating or submitting one.

Skill for Claude CodeCodex

Install

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.

agentmods
npx agentmods add skills/openai/openai-agents-python/pr-draft-summary
Any agent
npx skills add openai/openai-agents-python --skill pr-draft-summary
Clone the repo
git clone --depth 1 https://github.com/openai/openai-agents-python

Made for: Claude Code, Codex.

Per session 114 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 1,675 The whole file, excluding the scripts and references it only reads on demand.
Security scan A 0 findings. Scan, not verified.
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 $0.00114 $0.01675
Opus 5 $0.00057 $0.00838
Sonnet 5 $0.00023 $0.00335
Haiku 4.5 $0.00011 $0.00168

Measured yesterday against content hash e3c1627391c2, method: parsed. Prices are Anthropic first-party input rates as of 2026-08-30, from the pricing page.

Security

Grade A, and why

pr-draft-summary 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 yesterday.

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.

.agents/skills/pr-draft-summary/SKILL.md · 61 lines

How it starts

The opening of the file, as written. The whole thing — 61 lines — stays where its author put it; the contents beside it link to each section on GitHub.

PR Draft Summary

Purpose

Produce the PR-ready summary required in this repository after eligible code work is complete: a concise summary plus a PR-ready title and draft description that begins with "This pull request ...". The block should be ready to paste into a PR for openai-agents-python.

When to Trigger

  • Before every final response, check whether the current task changed runtime code (src/agents/), tests (tests/), examples (examples/), build/test configuration, or docs with behavior impact.
  • If it did, run this skill after required verification and before sending the final response. Do not use perceived change size to decide whether to run it.
  • Run it for eligible local-only and uncommitted work even when the user did not ask to create a pull request. Producing this text does not authorize creating a branch, committing, pushing, or opening a pull request.
  • Skip only for trivial or conversation-only tasks, repo-meta/doc-only tasks without behavior impact, an explicitly invoked $release-candidate-prep handoff that uses the complete $final-release-review report as its release-specific PR description, or when the user explicitly says not to include the PR draft block. This exception applies to preparing the release candidate itself, not to implementing or changing the release-preparation skill.

Inputs to Collect Automatically (do not ask the user)

  • Current branch: git rev-parse --abbrev-ref HEAD.
  • Working tree: git status -sb.
  • Untracked files: git ls-files --others --exclude-standard (use with git status -sb to ensure they are surfaced; --stat does not include them).
  • Changed files: git diff --name-only (unstaged) and git diff --name-only --cached (staged); sizes via git diff --stat and git diff --stat --cached.
  • Latest release tag (prefer remote-aware lookup): LATEST_RELEASE_TAG=$(.agents/skills/final-release-review/scripts/find_latest_release_tag.sh origin 'v*' 2>/dev/null || git tag -l 'v*' --sort=-v:refname | head -n1).
  • Base reference (use the branch's upstream, fallback to origin/main):
    • BASE_REF=$(git rev-parse --abbrev-ref --symbolic-full-name @{upstream} 2>/dev/null || echo origin/main).
    • BASE_COMMIT=$(git merge-base --fork-point "$BASE_REF" HEAD || git merge-base "$BASE_REF" HEAD || echo "$BASE_REF").
  • Commits ahead of the base fork point: git log --oneline --no-merges ${BASE_COMMIT}..HEAD.
  • Category signals for this repo: runtime (src/agents/), tests (tests/), examples (examples/), docs (docs/, mkdocs.yml), build/test config (pyproject.toml, uv.lock, Makefile, .github/).

Read the full file on GitHub · 61 lines

Files

What ships with it

1 file 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. yesterday First seen · 61 lines · 114 tokens per session scan A e3c1627391c2

Subscribe to this mod's changes

pr-draft-summary is a skill published in the GitHub repository openai/openai-agents-python (29,075 stars, last pushed 4d ago), licensed MIT. It adds 114 tokens to every session and 1,675 once invoked, about $0.0006 per session on Opus 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 2026-08-30.