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code-review-excellence卓越的代码审查

Agent Skill

用于辅助数据整理、表格处理、CSV/Excel 分析、指标计算和图表准备。它适合让 Agent 清洗字段、汇总数据、发现异常、生成统计口径或把分析结果转成可读说明。使用时需要确认数据来源、字段含义和时间范围,避免把样本数据当全量事实;涉及敏感数据、导出文件或批量写回时,应先确认权限和脱敏边界。

总安装

7,368

周安装

307

GitHub Stars

375

下载量

2,456
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:code-review-excellence(卓越的代码审查)
来源仓库:https://github.com/awesome-skills/code-review-skill
仓库路径:skills/code-review-excellence
安装命令:
npx skills add https://github.com/awesome-skills/code-review-skill --skill code-review-excellence
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/awesome-skills/code-review-skill --skill code-review-excellence

简介

将代码审查转化为知识共享的实践指南。

  • 适用于团队协作的质量保障和新人培养。
  • 提供系统性反馈和改进建议框架。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。
  • 帮助缩短审查周期并保持质量标准。
  • code-review-excellence 属于开发类 Skill,可作为该场景下的辅助能力补充。

SKILL.md

Code Review Excellence

Transform code reviews from gatekeeping to knowledge sharing through constructive feedback, systematic analysis, and collaborative improvement.

When to Use This Skill

  • Reviewing pull requests and code changes
  • Establishing code review standards for teams
  • Mentoring junior developers through reviews
  • Conducting architecture reviews
  • Creating review checklists and guidelines
  • Improving team collaboration
  • Reducing code review cycle time
  • Maintaining code quality standards

Core Principles

1. The Review Mindset

Goals of Code Review:

  • Catch bugs and edge cases
  • Ensure code maintainability
  • Share knowledge across team
  • Enforce coding standards
  • Improve design and architecture
  • Build team culture

Not the Goals:

  • Show off knowledge
  • Nitpick formatting (use linters)
  • Block progress unnecessarily
  • Rewrite to your preference

2. Effective Feedback

Good Feedback is:

  • Specific and actionable
  • Educational, not judgmental
  • Focused on the code, not the person
  • Balanced (praise good work too)
  • Prioritized (critical vs nice-to-have)
❌ Bad: "This is wrong."
✅ Good: "This could cause a race condition when multiple users
         access simultaneously. Consider using a mutex here."

❌ Bad: "Why didn't you use X pattern?"
✅ Good: "Have you considered the Repository pattern? It would
         make this easier to test. Here's an example: [link]"

❌ Bad: "Rename this variable."
✅ Good: "[nit] Consider `userCount` instead of `uc` for
         clarity. Not blocking if you prefer to keep it."

3. Review Scope

What to Review:

  • Logic correctness and edge cases
  • Security vulnerabilities
  • Performance implications
  • Test coverage and quality
  • Error handling
  • Documentation and comments
  • API design and naming
  • Architectural fit

What Not to Review Manually:

  • Code formatting (use Prettier, Black, etc.)
  • Import organization
  • Linting violations
  • Simple typos

Review Process

Phase 1: Context Gathering (2-3 minutes)

Before diving into code, understand:

  1. Read PR description and linked issue
  2. Check PR size (>400 lines? Ask to split)
  3. Review CI/CD status (tests passing?)
  4. Understand the business requirement
  5. Note any relevant architectural decisions

Phase 2: High-Level Review (5-10 minutes)

  1. Architecture & Design - Does the solution fit the problem?

- For significant changes, consult Architecture Review Guide - Check: SOLID principles, coupling/cohesion, anti-patterns

  1. Performance Assessment - Are there performance concerns?

- For performance-critical code, consult Performance Review Guide - Check: Algorithm complexity, N+1 queries, memory usage

  1. File Organization - Are new files in the right places?
  2. Testing Strategy - Are there tests covering edge cases?

Phase 3: Line-by-Line Review (10-20 minutes)

For each file, check:

  • Logic & Correctness - Edge cases, off-by-one, null checks, race conditions
  • Security - Input validation, injection risks, XSS, sensitive data
  • Performance - N+1 queries, unnecessary loops, memory leaks
  • Maintainability - Clear names, single responsibility, comments

Phase 4: Summary & Decision (2-3 minutes)

  1. Summarize key concerns
  2. Highlight what you liked
  3. Make clear decision:

- ✅ Approve - 💬 Comment (minor suggestions) - 🔄 Request Changes (must address)

  1. Offer to pair if complex

Review Techniques

Technique 1: The Checklist Method

Use checklists for consistent reviews. See Security Review Guide for comprehensive security checklist.

Technique 2: The Question Approach

Instead of stating problems, ask questions:

❌ "This will fail if the list is empty."
✅ "What happens if `items` is an empty array?"

❌ "You need error handling here."
✅ "How should this behave if the API call fails?"

Technique 3: Suggest, Don't Command

Use collaborative language:

❌ "You must change this to use async/await"
✅ "Suggestion: async/await might make this more readable. What do you think?"

❌ "Extract this into a function"
✅ "This logic appears in 3 places. Would it make sense to extract it?"

Technique 4: Differentiate Severity

Use labels to indicate priority:

  • 🔴 [blocking] - Must fix before merge
  • 🟡 [important] - Should fix, discuss if disagree
  • 🟢 [nit] - Nice to have, not blocking
  • 💡 [suggestion] - Alternative approach to consider
  • 📚 [learning] - Educational comment, no action needed
  • 🎉 [praise] - Good work, keep it up!

Language-Specific Guides

根据审查的代码语言,查阅对应的详细指南:

Language/FrameworkReference FileKey Topics
ReactReact GuideHooks, useEffect, React 19 Actions, RSC, Suspense, TanStack Query v5
Vue 3Vue GuideComposition API, 响应性系统, Props/Emits, Watchers, Composables
RustRust Guide所有权/借用, Unsafe 审查, 异步代码, 错误处理
TypeScriptTypeScript Guide类型安全, async/await, 不可变性
PythonPython Guide可变默认参数, 异常处理, 类属性
JavaJava GuideJava 17/21 新特性, Spring Boot 3, 虚拟线程, Stream/Optional
GoGo Guide错误处理, goroutine/channel, context, 接口设计
CC Guide指针/缓冲区, 内存安全, UB, 错误处理
C++C++ GuideRAII, 生命周期, Rule of 0/3/5, 异常安全
CSS/Less/SassCSS Guide变量规范,!important, 性能优化, 响应式, 兼容性
QtQt Guide对象模型, 信号/槽, 内存管理, 线程安全, 性能

Additional Resources

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

34.35%
按下载量换算844

Claude

29.59%
按下载量换算727

Cursor

19.77%
按下载量换算486

Gemini CLI

9.45%
按下载量换算232

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。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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