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pr-draft-summary公关草案摘要

Agent Skill

用于辅助 Python 项目开发、测试、依赖管理和常见框架工作流。它适合让 Agent 阅读 Python 代码、定位测试问题、整理运行命令、生成脚本或分析数据处理逻辑。使用时需要确认项目虚拟环境、依赖版本和测试入口;涉及执行脚本、读写文件、访问数据库或调用外部 API 时,应先明确运行目录和输入输出范围,避免误改生产数据。

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安装说明

本站只整理中文说明和来源信息,不托管安装包,也不代用户安装。

GitHub

来源数

3

许可证

MIT

最后核验

2026-05-01

来源状态

来源可访问

安装方式

通过对话安装

复制提示词发给支持本地命令或 Skills 的 AI 助手,先确认命令和权限,再让它执行。

请帮我安装这个 Agent Skill:pr-draft-summary(公关草案摘要)
来源仓库:https://github.com/openai/openai-agents-python
仓库路径:skills/pr-draft-summary
安装命令:
npx skills add https://github.com/openai/openai-agents-python --skill pr-draft-summary
安装前请先检查当前环境是否支持对应 CLI,并向我确认将要执行的命令、安装目录、联网范围和文件读写权限;确认后再执行。

命令行安装

复制命令到本机终端执行。不同来源提供的安装方式可能略有差异;本站展示可直接复制的安装命令,安装前请核对来源页面。

skills.shnpx skills
npx skills add https://github.com/openai/openai-agents-python --skill pr-draft-summary

简介

用于辅助 Python 项目开发、测试、依赖管理和常见框架工作流。

  • 适合阅读 Python 代码、定位测试问题、整理运行命令或生成脚本。
  • 使用时需确认项目虚拟环境、依赖版本和测试入口。
  • 涉及执行脚本、读写文件或调用外部 API 时,应先明确运行目录和输入输出范围。
  • pr-draft-summary 属于研究检索类 Skill,可作为该场景下的辅助能力补充。

SKILL.md

PR Draft Summary

Purpose

Produce the PR-ready summary required in this repository after substantive 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

  • The task for this repo is finished (or ready for review) and it touched runtime code, tests, examples, docs with behavior impact, or build/test configuration.
  • Treat this as the default final handoff step for substantive code work. Run it after any required verification or changeset work and before sending the "work complete" response.
  • Skip only for trivial or conversation-only tasks, repo-meta/doc-only tasks without behavior impact, or when the user explicitly says not to include the PR draft block.

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/).

Workflow

  1. Run the commands above without asking the user; compute BASE_REF/BASE_COMMIT first so later commands reuse them.
  2. If there are no staged/unstaged/untracked changes and no commits ahead of ${BASE_COMMIT}, reply briefly that no code changes were detected and skip emitting the PR block.
  3. Infer change type from the touched paths listed under "Category signals"; classify as feature, fix, refactor, or docs-with-impact, and flag backward-compatibility risk only when the diff changes released public APIs, external config, persisted data, serialized state, or wire protocols. Judge that risk against LATEST_RELEASE_TAG, not unreleased branch-only churn.
  4. Summarize changes in 1–3 short sentences using the key paths (top 5) and git diff --stat output; explicitly call out untracked files from git status -sb/git ls-files --others --exclude-standard because --stat does not include them. If the working tree is clean but there are commits ahead of ${BASE_COMMIT}, summarize using those commit messages.
  5. Choose the lead verb for the description: feature → adds, bug fix → fixes, refactor/perf → improves or updates, docs-only → updates.
  6. Suggest a branch name. If already off main, keep it; otherwise propose feat/<slug>, fix/<slug>, or docs/<slug> based on the primary area (e.g., docs/pr-draft-summary-guidance).
  7. If the current branch matches issue-<number> (digits only), keep that branch suggestion. Optionally pull light issue context (for example via the GitHub API) when available, but do not block or retry if it is not. When an issue number is present, reference https://github.com/openai/openai-agents-python/issues/<number> and include an auto-closing line such as This pull request resolves #<number>..
  8. Draft the PR title and description using the template below.
  9. Output only the block in "Output Format". Keep any surrounding status note minimal and in English.

Output Format

When closing out a task, add this concise Markdown block (English only) after any brief status note unless the task falls under the documented skip cases or the user says they do not want it.

# Pull Request Draft

## Branch name suggestion

git checkout -b <kebab-case suggestion, e.g., feat/pr-draft-summary-skill>

## Title

<single-line imperative title, which can be a commit message; if a common prefix like chore: and feat: etc., having them is preferred>

## Description

<include what you changed plus a draft pull request title and description for your local changes; start the description with prose such as "This pull request resolves/updates/adds ..." using a verb that matches the change (you can use bullets later), explain the change background (for bugs, clearly describe the bug, symptoms, or repro; for features, what is needed and why), any behavior changes or considerations to be aware of, and you do not need to mention tests you ran.>

Keep it tight—no redundant prose around the block, and avoid repeating details between Changes and the description. Tests do not need to be listed unless specifically requested.

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能力 4

补充不同宿主或平台的使用分布数据

能力 5

展示第三方安全扫描或审计结果

安装后应在对应宿主中按原始 README 的触发条件使用;具体调用方式请以来源页面和 README 为准。

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安装前确认

本站仅展示第三方公开信息,不托管安装包,不提供自动安装或运行环境。安装前应自行审查源码、依赖和命令行为。

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