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Agent Skill · 前端设计

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 是前端设计类 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,第三方扫描已通过,按安装量在前端设计类的 10,216 个 Skill 里排第 9,692。

总安装 196周安装 8GitHub Stars 2下载 63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/alvesrafa/dev-routine
仓库路径:skills/code-review
安装命令:
npx skills add https://github.com/alvesrafa/dev-routine --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/alvesrafa/dev-routine --skill code-review

这个 Skill 是做什么的

前端设计类 Skill 关注页面结构、视觉规范和组件写法,输出通常是可运行的界面代码。

code-review 提供结构化代码审查流程,聚焦技术债务、可读性与架构一致性等问题识别。适用于 Pull Request 预审、团队协作规范对齐或遗留代码重构等开发质量保障场景。自动读取项目约定文件(如 conventions.md)并对比变更内容,输出简明问题列表与改进建议。

建议结合测试覆盖率与静态分析工具结果综合评估,避免仅依赖人工规则进行主观判断。对于大型变更集,应分模块逐步审查以确保深度而非广度。

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/alvesrafa/dev-routine --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/alvesrafa/dev-routine --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 196 次,近一周安装 8 次,下载 63 次,GitHub 2 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?

第三方扫描结果为通过,但这只覆盖已知的静态检查项,不能替代自己读一遍源码和安装命令。

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。
  • 第三方扫描已通过,常见的高风险行为没有命中。

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。
  • 需要处理前端设计类任务、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。

前端设计类 Skill 对比

6 个同类
Skill总安装GitHub 星权限许可证扫描
frontend-design

前端设计 · Codex、Claude

8,823,360126,072只读MIT通过
vercel-composition-patterns

Vercel 组合模式 · Codex、Claude

3,858,81625,893需要联网MIT通过
vercel-react-native-skills

Vercel React native skills 前端 · Codex、Claude

2,468,66425,878只读MIT通过
adapt

adapt 搜索 · Codex、Claude

2,027,04023,125操作浏览器未明确通过
bolder

bolder 分析 · Codex、Claude

2,004,28823,130只读未明确通过
code-review

代码审查 · 本页

1962需要联网未明确通过

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

Skill: /code-review

Trigger

/code-review "description of what was implemented"

The description is optional but allows validating the flow before analyzing the code.

Response guidelines

Be comprehensive but concise. Omit obvious explanations, get straight to the point. Save tokens without losing technical precision. Prefer short bullets to paragraphs.

Reading project context

Read if they exist:

  • .claude/project.md — stack, environments, modules
  • .claude/conventions.md — mandatory team standards
  • .claude/architecture.md — expected architectural patterns
  • .claude/known-issues.md — to identify recurring issues

Stage 0: Clarification

Before reviewing, check if there is sufficient context to perform an accurate review.

Ask up to 3 targeted questions if any of the following are true:

  • No description was provided AND no open files / diff / PR context is visible
  • The described behavior contradicts what the code appears to do (needs confirmation of intent)
  • The review scope is undefined (e.g., a very large diff with no indication of which areas matter most)

Do not ask style or preference questions. Only ask when missing context would produce an inaccurate review.

After asking, wait for the user's reply before proceeding to Stage 1. If the user says "skip questions" or "just review", proceed immediately.

Stage execution

By default, all stages run sequentially in one response.

The user can say "do only Stage 1 and 2", "stop after Stage 2", "skip to Stage 4". Respect this literally.

If during a stage a critical ambiguity appears (e.g., a pattern that could be intentional or a bug), flag it inline as:

Question before continuing: [question]. If not answered, proceeding with conservative assumption: [stated assumption].

Stage 1: Flow validation

Before analyzing the code (only if description was provided):

  1. Understand the described flow
  2. Identify logical gaps, uncovered cases, questionable approach
  3. Issue verdict: ✅ Sound / ⚠️ With caveats / ❌ Problematic

Do not reject based on aesthetic preference — only real functional or security problems.

Stage 2: Code analysis

🔴 Critical — Blocks the PR

  • Security vulnerabilities (SQL injection, exposed data, bypassable auth)
  • Data loss (delete without soft delete when expected, accidental truncate)
  • Race conditions in jobs/queues
  • Migrations without down() or that lock large tables
  • Hardcoded secrets or credentials
  • Breaking API contract without versioning
  • Logic that directly contradicts the stated requirement

🟡 Important — Must be fixed before merge

  • Violation of team conventions (.claude/conventions.md)
  • Missing error handling at critical points
  • N+1 queries or heavy operations inside loops
  • Job/command not idempotent when it should be
  • Missing input validation on public endpoint
  • Violation of project architectural patterns

🟢 Suggestion — Optional improvement

  • Opportunity for reuse
  • Confusing but functional naming
  • Possible simplification without risk

If more than 3 critical items are found and the scope of change is unclear, pause after listing them and ask: "Found N critical items. Continue with Important/Suggestion items, or stop here to address these first?"

Stage 3: Recurring issues detection

Check if any problem found already exists in .claude/known-issues.md or is new with recurring potential.

Automatic known-issues update

If new and recurring, add to .claude/known-issues.md:

## [Problem Category]

Description: problem found.
Context: where it tends to appear.
Solution: how to resolve or prevent.
Detected in: [code-review]

Inform: *"⚠️ Added to known-issues: [title]"*

If .claude/known-issues.md doesn't exist and there's something to record, create the file.

Stage 4: Final verdict

✅ APPROVED — No critical issues ⚠️ APPROVED WITH CAVEATS — Can open PR, yellow items must be resolved ❌ BLOCKED — Critical items must be resolved before PR

Output format

## Stage 1 — Flow Validation
[verdict / "No description provided"]

## Stage 2 — Code Analysis
### Critical 🔴
[list or "None"]
### Important 🟡
[list or "None"]
### Suggestions 🟢
[list or "None"]

## Stage 3 — Known Issues
[new items added / "No new issues recorded"]

## Stage 4 — Verdict
[✅ / ⚠️ / ❌] — justification in 1 line

平台分布

Codex

38.57%
按下载量换算24

Claude

28.67%
按下载量换算18

Cursor

19.68%
按下载量换算12

Gemini CLI

8.86%
按下载量换算6

安全审计

Gen Agent Trust Hub

通过

Socket

通过

Snyk

通过

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。目前只有一个公开来源,建议同时核对源仓库。

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