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Agent Skill · AI 工具

pr-code-review(公关代码审查)

pr-code-review 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。

pr-code-review 是AI 工具类 Agent Skill,可用宿主为 Codex、Claude、Cursor、Gemini CLI,通过GitHub 仓库获取,权限为需要联网;许可证为 MIT,暂无第三方扫描结果,按安装量在AI 工具类的 2,536 个 Skill 里排第 2,412。

总安装 214周安装 9GitHub Stars 公开资料未说明下载 75核验 2026-05-01

安装说明

本站只整理中文说明,不托管安装包,也不代用户安装。
GitHub
许可证
MIT

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-code-review(公关代码审查)
来源仓库:https://github.com/euricom-io/euri-ai-marketplace
仓库路径:skills/pr-code-review
安装命令:
npx skills add https://github.com/euricom-io/euri-ai-marketplace --skill pr-code-review
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/euricom-io/euri-ai-marketplace --skill pr-code-review

这个 Skill 是做什么的

AI 工具类 Skill 用来扩展助手本身的能力,例如接模型、接检索、接外部服务。

pr-code-review 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 中围绕仓库状态、代码变更或协作事项进行整理。

通过 npx skills add 命令从指定 GitHub 仓库安装,需结合原始 README 确认具体用法。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。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。

来源仓库内路径:skills/pr-code-review

上手步骤

4 步
  1. 1

    确认自己的宿主工具

    公开资料标注支持 Codex、Claude、Cursor、Gemini CLI;先确认自己用的是其中之一,再按对应工具的 Skills 目录放置。

  2. 2

    拿到安装命令

    可以直接复制的命令是 npx skills add https://github.com/euricom-io/euri-ai-marketplace --skill pr-code…;命令里的占位符换成自己的路径或密钥再执行。

  3. 3

    安装后重启宿主

    命令执行完要完全退出宿主工具再打开,让新装的 Skill 被重新扫描到,否则列表里可能看不到。

  4. 4

    按最小权限试用

    它需要需要联网,先在测试目录或测试账号里跑,确认没问题再放到正式项目。

常见问题

6 条

pr-code-review 怎么安装?

在终端执行 npx skills add https://github.com/euricom-io/euri-ai-marketplace --skill pr-code-review。装完完全退出宿主工具再打开,让它重新扫描本地 Skill。

pr-code-review 支持哪些 AI 工具?

公开资料标注支持 Codex、Claude、Cursor、Gemini CLI。其他工具只要能读取本地 Skill 目录,一般也能手动放进去,但要自己确认触发方式是否一致。

pr-code-review 需要什么权限?

权限级别是需要联网。该 Skill 可能需要联网访问来源站点、仓库或外部 API;具体网络访问范围需要结合源码和 README 复核。

pr-code-review 是免费的吗?

来源标注的许可证是 MIT。本站不代收任何费用,也不托管安装包;能否商用、要不要署名,以许可证原文为准。

pr-code-review 用的人多吗?

公开数据是累计安装 214 次,近一周安装 9 次,下载 75 次。这些数字来自第三方目录统计,只能当作热度参考,不代表质量或安全性。

pr-code-review 安全吗?

没有查到第三方扫描结果,安全性无法从公开资料判断,安装前请自行审查源码、依赖和命令行为。

值得选的地方和要先想清楚的地方

值得选的地方

  • 同时适配 4 种工具,换客户端不用重新找替代品。
  • 3 个目录同时收录,说明这个 Skill 流传比较广。
  • 许可证明确为 MIT,商用和分发边界好判断。

先想清楚的地方

  • 没有第三方扫描结果,安全性只能靠自己读源码判断。
  • 第三方目录整理,版本更新和行为细节以来源仓库为准。

适不适合你

更适合

  • 已经在用 Codex,想直接扩展它能力的人。
  • 需要处理AI 工具类任务、又不想每次都手写提示词的人。

不太适合

  • 要求有安全扫描结论才肯安装的团队。
  • 需要厂商级技术支持和 SLA 的生产系统。

AI 工具类 Skill 对比

6 个同类
Skill总安装GitHub 星权限许可证扫描
executing-plans

执行计划 · Codex、Claude

1,515,336173,110只读MIT通过
verification-before-completion

完成前的验证 · Codex、Claude

1,319,472173,121权限未标注MIT通过
subagent-driven-development

子 Agent 驱动开发 · Codex、Claude

1,312,416173,138只读MIT通过
copy-editing

复制编辑 · Codex、Claude

1,209,57625,632只读MIT通过
paywall-upgrade-cro

付费专区升级 cro · Codex、Claude

1,030,17625,617只读MIT通过
pr-code-review

公关代码审查 · 本页

214—需要联网MIT未收录

按安装量取同分类前几名;数字来自第三方目录统计,只作热度参考,不代表质量结论。

SKILL.md 原文

Provide a code review for the given pull request.

To do this, follow these steps precisely:

  1. Use a Haiku agent to check if the pull request (a) is closed, (b) is a draft, (c) does not need a code review (eg. because it is an automated pull request, or is very simple and obviously ok), or (d) already has a code review from you from earlier. If so, do not proceed.
  2. Use another Haiku agent to give you a list of file paths to (but not the contents of) any relevant CLAUDE.md files from the codebase: the root CLAUDE.md file (if one exists), as well as any CLAUDE.md files in the directories whose files the pull request modified
  3. Use a Haiku agent to view the pull request, and ask the agent to return a summary of the change
  4. Then, launch 5 parallel Sonnet agents to independently code review the change. The agents should do the following, then return a list of issues and the reason each issue was flagged (eg. CLAUDE.md adherence, bug, historical git context, etc.): a. Agent #1: Audit the changes to make sure they compily with the CLAUDE.md. Note that CLAUDE.md is guidance for Claude as it writes code, so not all instructions will be applicable during code review. b. Agent #2: Read the file changes in the pull request, then do a shallow scan for obvious bugs. Avoid reading extra context beyond the changes, focusing just on the changes themselves. Focus on large bugs, and avoid small issues and nitpicks. Ignore likely false positives. c. Agent #3: Read the git blame and history of the code modified, to identify any bugs in light of that historical context d. Agent #4: Read previous pull requests that touched these files, and check for any comments on those pull requests that may also apply to the current pull request. e. Agent #5: Read code comments in the modified files, and make sure the changes in the pull request comply with any guidance in the comments.
  5. For each issue found in #4, launch a parallel Haiku agent that takes the PR, issue description, and list of CLAUDE.md files (from step 2), and returns a score to indicate the agent's level of confidence for whether the issue is real or false positive. To do that, the agent should score each issue on a scale from 0-100, indicating its level of confidence. For issues that were flagged due to CLAUDE.md instructions, the agent should double check that the CLAUDE.md actually calls out that issue specifically. The scale is (give this rubric to the agent verbatim): a. 0: Not confident at all. This is a false positive that doesn't stand up to light scrutiny, or is a pre-existing issue. b. 25: Somewhat confident. This might be a real issue, but may also be a false positive. The agent wasn't able to verify that it's a real issue. If the issue is stylistic, it is one that was not explicitly called out in the relevant CLAUDE.md. c. 50: Moderately confident. The agent was able to verify this is a real issue, but it might be a nitpick or not happen very often in practice. Relative to the rest of the PR, it's not very important. d. 75: Highly confident. The agent double checked the issue, and verified that it is very likely it is a real issue that will be hit in practice. The existing approach in the PR is insufficient. The issue is very important and will directly impact the code's functionality, or it is an issue that is directly mentioned in the relevant CLAUDE.md. e. 100: Absolutely certain. The agent double checked the issue, and confirmed that it is definitely a real issue, that will happen frequently in practice. The evidence directly confirms this.
  6. Filter out any issues with a score less than 80. If there are no issues that meet this criteria, do not proceed.
  7. Use a Haiku agent to repeat the eligibility check from #1, to make sure that the pull request is still eligible for code review.
  8. Finally, use the gh bash command to comment back on the pull request with the result. When writing your comment, keep in mind to: a. Keep your output brief b. Avoid emojis c. Link and cite relevant code, files, and URLs

Examples of false positives, for steps 4 and 5:

  • Pre-existing issues
  • Something that looks like a bug but is not actually a bug
  • Pedantic nitpicks that a senior engineer wouldn't call out
  • Issues that a linter, typechecker, or compiler would catch (eg. missing or incorrect imports, type errors, broken tests, formatting issues, pedantic style issues like newlines). No need to run these build steps yourself -- it is safe to assume that they will be run separately as part of CI.
  • General code quality issues (eg. lack of test coverage, general security issues, poor documentation), unless explicitly required in CLAUDE.md
  • Issues that are called out in CLAUDE.md, but explicitly silenced in the code (eg. due to a lint ignore comment)
  • Changes in functionality that are likely intentional or are directly related to the broader change
  • Real issues, but on lines that the user did not modify in their pull request

Notes:

  • Do not check build signal or attempt to build or typecheck the app. These will run separately, and are not relevant to your code review.
  • Use gh to interact with Github (eg. to fetch a pull request, or to create inline comments), rather than web fetch
  • Make a todo list first
  • You must cite and link each bug (eg. if referring to a CLAUDE.md, you must link it)
  • For your final comment, follow the following format precisely (assuming for this example that you found 3 issues):

Code review

Found 3 issues:

  1. (CLAUDE.md says "<...>")
  1. (some/other/CLAUDE.md says "<...>")
  1. (bug due to)

🤖 Generated with Claude Code

  • If this code review was useful, please react with 👍. Otherwise, react with 👎.

  • Or, if you found no issues:

Code review

No issues found. Checked for bugs and CLAUDE.md compliance.

🤖 Generated with Claude Code

- Requires full git sha - You must provide the full sha. Commands like https://github.com/owner/repo/blob/$(git rev-parse HEAD)/foo/bar will not work, since your comment will be directly rendered in Markdown. - Repo name must match the repo you're code reviewing - sign after the file name - Line range format is L[start]-L[end] - Provide at least 1 line of context before and after, centered on the line you are commenting about (eg. if you are commenting about lines 5-6, you should link to L4-7)

平台分布

Claude Code

24.94%
按下载量换算19

Gemini CLI

22.41%
按下载量换算17

Antigravity

17.95%
按下载量换算13

Codex

13.03%
按下载量换算10

OpenCode

7.57%
按下载量换算6

windsurf

3.75%
按下载量换算3

安全审计

暂无安全审计结果可展示。

权限和风险

需要联网

该 Skill 可能需要联网访问来源站点、仓库或外部 API;具体网络访问范围需要结合源码和 README 复核。

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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