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Agent Skill · 开发

code-review(代码审查)

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。

code-review 是开发类 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;许可证信息还不明确,第三方扫描有提醒项,按安装量在开发类的 21,746 个 Skill 里排第 15,953。

总安装 546周安装 23GitHub Stars 11,586下载 191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
unknown

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:code-review(代码审查)
来源仓库:https://github.com/pipecat-ai/pipecat
仓库路径:skills/code-review
安装命令:
npx skills add https://github.com/pipecat-ai/pipecat --skill 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。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/pipecat-ai/pipecat --skill code-review

这个 Skill 是做什么的

开发类 Skill 面向写代码、改代码和排查问题,一般会读写仓库文件,部分还会执行构建或测试命令。

用于处理 GitHub 仓库、Issue 和 Pull Request。适合围绕代码变更和协作事项进行整理。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。可结合来源仓库和原始 README 继续核验用法。安装前建议确认是否会触发联网或文件读写。

code-review 属于开发类 Skill,可作为该场景下的辅助能力补充。

来源仓库内路径:skills/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/pipecat-ai/pipecat --skill code-review;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

code-review 怎么安装?

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

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。

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。

code-review 是免费的吗?

公开资料没有标注明确许可证,收费和商用限制都无法确认。正式使用前请到来源仓库核对授权说明。

code-review 用的人多吗?

公开数据是累计安装 546 次,近一周安装 23 次,下载 191 次,GitHub 11,586 星。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。

code-review 安全吗?

第三方扫描有提醒项,说明存在需要人工确认的行为。安装前请打开源码看清它读了什么、联网到哪里。

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。
  • 来源仓库有 11,586 星,维护活跃度相对可查。

先想清楚的地方

  • 许可证没有明确标注,能不能商用、能不能再分发都不确定。
  • 第三方扫描存在提醒项或未通过项,需要人工逐条确认。
  • 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。
  • 需要处理开发类任务、又不想每次都手写提示词的人。

不太适合

  • 需要明确授权才能用到公司项目里的场景。
  • 需要厂商级技术支持和 SLA 的生产系统。

开发类 Skill 对比

6 个同类
Skill总安装GitHub 星权限许可证扫描
skill-vetter

技能审查员 · OpenClaw

8,779,018986操作浏览器MIT-0通过
ontology

本体论 · OpenClaw

6,636,960576只读MIT-0通过
entra-app-registration

内部应用程序注册 · Codex、Claude

6,631,872764接触敏感数据未明确通过
entra-app-registration

内部应用程序注册 · Codex、Claude

3,757,680201接触敏感数据未明确通过
nano-banana-pro

纳米香蕉专业版 · OpenClaw

3,526,898364接触敏感数据MIT-0有提醒
code-review

代码审查 · 本页

54611,586需要联网未明确有提醒

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.

Agent assumptions (applies to all agents and subagents):

  • All tools are functional and will work without error. Do not test tools or make exploratory calls. Make sure this is clear to every subagent that is launched.
  • Only call a tool if it is required to complete the task. Every tool call should have a clear purpose.

To do this, follow these steps precisely:

  1. Launch a haiku agent to check if any of the following are true: If any condition is true, stop and do not proceed.

- The pull request is closed - The pull request is a draft - The pull request does not need code review (e.g. automated PR, trivial change that is obviously correct) - Claude has already commented on this PR (check gh pr view <PR> --comments for comments left by claude)

Note: Still review Claude generated PR's.

  1. Launch a haiku agent to return a list of file paths (not their contents) for all relevant CLAUDE.md files including:

- The root CLAUDE.md file, if it exists - Any CLAUDE.md files in directories containing files modified by the pull request

  1. Launch a sonnet agent to view the pull request and return a summary of the changes
  2. Launch 4 agents in parallel to independently review the changes. Each agent should return the list of issues, where each issue includes a description and the reason it was flagged (e.g. "CLAUDE.md adherence", "bug"). The agents should do the following: Agents 1 + 2: CLAUDE.md compliance sonnet agents Audit changes for CLAUDE.md compliance in parallel. Note: When evaluating CLAUDE.md compliance for a file, you should only consider CLAUDE.md files that share a file path with the file or parents. Agent 3: Opus bug agent (parallel subagent with agent 4) Scan for obvious bugs. Focus only on the diff itself without reading extra context. Flag only significant bugs; ignore nitpicks and likely false positives. Do not flag issues that you cannot validate without looking at context outside of the git diff. Agent 4: Opus bug agent (parallel subagent with agent 3) Look for problems that exist in the introduced code. This could be security issues, incorrect logic, etc. Only look for issues that fall within the changed code. CRITICAL: We only want HIGH SIGNAL issues. Flag issues where: Do NOT flag: If you are not certain an issue is real, do not flag it. False positives erode trust and waste reviewer time. In addition to the above, each subagent should be told the PR title and description. This will help provide context regarding the author's intent.

- The code will fail to compile or parse (syntax errors, type errors, missing imports, unresolved references) - The code will definitely produce wrong results regardless of inputs (clear logic errors) - Clear, unambiguous CLAUDE.md violations where you can quote the exact rule being broken - Code style or quality concerns - Potential issues that depend on specific inputs or state - Subjective suggestions or improvements

  1. For each issue found in the previous step by agents 3 and 4, launch parallel subagents to validate the issue. These subagents should get the PR title and description along with a description of the issue. The agent's job is to review the issue to validate that the stated issue is truly an issue with high confidence. For example, if an issue such as "variable is not defined" was flagged, the subagent's job would be to validate that is actually true in the code. Another example would be CLAUDE.md issues. The agent should validate that the CLAUDE.md rule that was violated is scoped for this file and is actually violated. Use Opus subagents for bugs and logic issues, and sonnet agents for CLAUDE.md violations.
  2. Filter out any issues that were not validated in step 5. This step will give us our list of high signal issues for our review.
  3. If issues were found, skip to step 8 to post comments. If NO issues were found, post a summary comment using gh pr comment (if --comment argument is provided): "No issues found. Checked for bugs and CLAUDE.md compliance."
  4. Create a list of all comments that you plan on leaving. This is only for you to make sure you are comfortable with the comments. Do not post this list anywhere.
  5. Post inline comments for each issue using gh pr review with inline comments. For each comment: IMPORTANT: Only post ONE comment per unique issue. Do not post duplicate comments.

- Provide a brief description of the issue - For small, self-contained fixes, include a committable suggestion block - For larger fixes (6+ lines, structural changes, or changes spanning multiple locations), describe the issue and suggested fix without a suggestion block - Never post a committable suggestion UNLESS committing the suggestion fixes the issue entirely. If follow up steps are required, do not leave a committable suggestion.

Use this list when evaluating issues in Steps 4 and 5 (these are false positives, do NOT flag):

  • Pre-existing issues
  • Something that appears to be a bug but is actually correct
  • Pedantic nitpicks that a senior engineer would not flag
  • Issues that a linter will catch (do not run the linter to verify)
  • General code quality concerns (e.g., lack of test coverage, general security issues) unless explicitly required in CLAUDE.md
  • Issues mentioned in CLAUDE.md but explicitly silenced in the code (e.g., via a lint ignore comment)

Notes:

  • Use gh CLI to interact with GitHub (e.g., fetch pull requests, create comments). Do not use web fetch.
  • Create a todo list before starting.
  • You must cite and link each issue in inline comments (e.g., if referring to a CLAUDE.md, include a link to it).
  • If no issues are found, post a comment with the following format:

Code review

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


  • When linking to code in inline comments, follow the following format precisely, otherwise the Markdown preview won't render correctly: https://github.com/OWNER/REPO/blob/FULL_SHA/path/to/file.py#L10-L15

- 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

Codex

35.92%
按下载量换算69

Claude

27.89%
按下载量换算53

Cursor

18.81%
按下载量换算36

Gemini CLI

9.28%
按下载量换算18

安全审计

Gen Agent Trust Hub

通过

Socket

可疑

Snyk

可疑

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。来源安全扫描存在提醒或未通过项,安装前请自行复核。目前只有一个公开来源,建议同时核对源仓库。

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