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开发执行命令github未标认证来源可访问许可证需确认审计提醒

codex-pr-bodyCodex PR body 命令行

Agent Skill

codex-pr-body 用于处理 GitHub 仓库、Issue、Pull Request 和代码协作信息,适合在 Codex、Claude、Cursor、Gemini CLI 中需要围绕仓库状态、代码变更或协作事项进行整理时使用。可结合来源仓库、安装命令和原始 README 继续核验具体用法。安装前建议确认权限范围、维护状态,以及是否会触发联网、命令执行或文件读写。

总安装

475

周安装

20

GitHub Stars

78,874

下载量

166
CodexClaudeCursorGemini CLI

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

2

许可证

unknown

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:codex-pr-body(Codex PR body 命令行)
来源仓库:https://github.com/openai/codex
仓库路径:skills/codex-pr-body
安装命令:
npx skills add https://github.com/openai/codex --skill codex-pr-body
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。该命令会通过 npx skills 从第三方来源获取 Skill;本站只展示命令,不托管安装包,也不自动执行。

skills.shnpx skills
npx skills add https://github.com/openai/codex --skill codex-pr-body

简介

codex-pr-body 自动生成并更新 Pull Request 标题与正文内容。

  • 基于当前分支差异推断目标 PR,自动调用 gh 编辑描述。
  • 要求已安装 GitHub CLI 并完成身份认证。
  • 操作前应确认分支归属及是否有权修改对应 PR 内容。
  • 适用宿主包括 Codex、Claude、Cursor、Gemini CLI,接入前应确认版本、权限和运行环境要求。

SKILL.md

Determining the PR(s)

When this skill is invoked, the PR(s) to update may be specified explicitly, but in the common case, the PR(s) to update will be inferred from the branch / commit that the user is currently working on. For ordinary Git usage (i.e., not Sapling as discussed below), you may have to use a combination of git branch and gh pr view <branch> --repo openai/codex --json number --jq '.number' to determine the PR associated with the current branch / commit.

PR Body Contents

When invoked, use gh to edit the pull request body and title to reflect the contents of the specified PR. Make sure to check the existing pull request body to see if there is key information that should be preserved. For example, NEVER remove an image in the existing pull request body, as the author may have no way to recover it if you remove it.

It is critically important to explain *why* the change is being made. If the current conversation in which this skill is invoked has discussed the motivation, be sure to capture this in the pull request body.

The body should also explain *what* changed, but this should appear after the *why*.

Limit discussion to the *net change* of the commit. It is generally frowned upon to discuss changes that were attempted but later undone in the course of the development of the pull request. When rewriting the pull request body, you may need to eliminate details such as these when they are no longer appropriate / of interest to future readers.

Avoid references to absolute paths on my local disk. When talking about a path that is within the repository, simply use the repo-relative path.

It is generally helpful to discuss how the change was verified. That said, it is unnecessary to mention things that CI checks automatically, e.g., do not include "ran just fmt" as part of the test plan. Though identifying the new tests that were purposely introduced to verify the new behavior introduced by the pull request is often appropriate.

Make use of Markdown to format the pull request professionally. Ensure "code things" appear in single backticks when referenced inline. Fenced code blocks are useful when referencing code or showing a shell transcript. Also, make use of GitHub permalinks when citing existing pieces of code that are relevant to the change.

Make sure to reference any relevant pull requests or issues, though there should be no need to reference the pull request in its own PR body.

If there is documentation that should be updated on https://developers.openai.com/codex as a result of this change, please note that in a separate section near the end of the pull request. Omit this section if there is no documentation that needs to be updated.

Working with Stacks

Sometimes a pull request is composed of a stack of commits that build on one another. In these cases, the PR body should reflect the *net* change introduced by the stack as a whole, rather than the individual commits that make up the stack.

Similarly, sometimes a user may be using a tool like Sapling to leverage *stacked pull requests*, in which case the base of the PR may be the a branch that is the head of another PR in the stack rather than main. In this case, be sure to discuss only the net change between the base and head of the PR that is being opened against that stacked base, rather than the changes relative to main.

Sapling

If .git/sl/store is present, then this Git repository is governed by Sapling SCM (https://sapling-scm.com).

In Sapling, run the following to see if there is a GitHub pull request associated with the current revision:

sl log --template '{github_pull_request_url}' -r .

Alternatively, you can run sl sl to see the current development branch and whether there is a GitHub pull request associated with the current commit. For example, if the output were:

  @  cb032b31cf  72 minutes ago  mbolin  #11412
╭─╯  tui: show non-file layer content in /debug-config
│
o  fdd0cd1de9  Today at 20:09  origin/main
│
~
  • @ indicates the current commit is cb032b31cf
  • it is a development branch containing a single commit branched off of origin/main
  • it is associated with GitHub pull request #11412

适合场景

01

用户想查找某类 Agent Skill 时

02

需要根据任务场景推荐可安装能力包时

03

需要对比不同来源的安装命令和来源信息时

能力概览

能力 1

按任务关键词查找相关 Skills

能力 2

展示可复制的安装命令

能力 3

保留来源站点、仓库和原始说明,方便继续核验

能力 4

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。

平台分布

Codex

37.53%
按下载量换算62

Claude

30.12%
按下载量换算50

Cursor

18.1%
按下载量换算30

Gemini CLI

9.18%
按下载量换算15

安全审计

Gen Agent Trust Hub

通过

Socket

通过

Snyk

可疑

权限和风险

执行命令

安装流程涉及命令执行,可能通过 npx skills add https://github.com/openai/codex --skill codex-pr-body 联网下载 Skill 或依赖。用户安装前应确认命令来源、仓库内容和执行环境。

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。来源安全扫描存在 warning/failed 结果,不能写成本站确认安全。当前只有一个来源,正式发布前建议补源仓库或其他目录站核验。

来源信息

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