Token导航 LogoToken导航TokenDH.com
前端设计敏感数据github未标认证来源可访问clear审计提醒

code-reviewer代码审查员

Agent Skill

用于辅助安全审计、权限检查、凭据风险、认证流程和常见漏洞排查。它适合让 Agent 梳理敏感配置、检查依赖风险、分析鉴权逻辑或生成安全复核清单。使用时不能把工具输出直接当最终结论,涉及密钥、令牌、用户数据或生产系统时,应先确认最小权限、脱敏方式和操作边界。

总安装

11,652

周安装

476

GitHub Stars

47

下载量

3,732
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

3

许可证

MIT

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-reviewer(代码审查员)
来源仓库:https://github.com/charon-fan/agent-playbook
仓库路径:skills/code-reviewer
安装命令:
npx skills add https://github.com/charon-fan/agent-playbook --skill code-reviewer
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/charon-fan/agent-playbook --skill code-reviewer

简介

对代码变更进行质量与安全审查。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。

  • 检查依赖风险、权限控制与常见漏洞。
  • 分析 PR 差异并给出改进建议。
  • 需结合项目上下文判断具体问题。
  • code-reviewer 属于前端设计类 Skill,可作为该场景下的辅助能力补充。

SKILL.md

Code Reviewer

A comprehensive code review skill that analyzes pull requests and code changes for quality, security, maintainability, and best practices.

When This Skill Activates

This skill activates when you:

  • Ask for a code review
  • Request a PR review
  • Mention reviewing changes
  • Say "review this" or "check this code"

Review Process

Phase 1: Context Gathering

  1. Get changed files git diff main...HEAD --name-only git log main...HEAD --oneline
  2. Get the diff git diff main...HEAD
  3. Understand project context

- Read relevant documentation - Check existing patterns in similar files - Identify project-specific conventions

Phase 2: Analysis Categories

1. Correctness

  • Logic is sound and matches requirements
  • Edge cases are handled
  • Error handling is appropriate
  • No obvious bugs or typos

2. Security

  • No hardcoded secrets or credentials
  • Input validation and sanitization
  • SQL injection prevention
  • XSS prevention (for frontend)
  • Authentication/authorization checks
  • Safe handling of user data

3. Performance

  • No N+1 queries
  • Appropriate caching
  • Efficient algorithms
  • No unnecessary computations
  • Memory efficiency

4. Code Quality

  • Follows DRY principle
  • Follows KISS principle
  • Appropriate abstractions
  • Clear naming conventions
  • Proper typing (if TypeScript)
  • No commented-out code

5. Testing

  • Tests cover new functionality
  • Tests cover edge cases
  • Test assertions are meaningful
  • No brittle tests

6. Documentation

  • Complex logic is explained
  • Public APIs have documentation
  • JSDoc/TSDoc for functions
  • README updated if needed

7. Maintainability

  • Code is readable
  • Consistent style
  • Modular design
  • Separation of concerns

Phase 3: Output Format

Use this structured format for review feedback:

# Code Review

## Summary
Brief overview of the changes (2-3 sentences).

## Issues by Severity

### Critical
Must fix before merge.

- [ ] **Issue Title**: Description with file:line reference

### High
Should fix before merge unless there's a good reason.

- [ ] **Issue Title**: Description with file:line reference

### Medium
Consider fixing, can be done in follow-up.

- [ ] **Issue Title**: Description with file:line reference

### Low
Nice to have improvements.

- [ ] **Issue Title**: Description with file:line reference

## Positive Highlights
What was done well in this PR.

## Suggestions
Optional improvements that don't require immediate action.

## Approval Status
- [ ] Approved
- [ ] Approved with suggestions
- [ ] Request changes

Common Issues to Check

Security Issues

IssuePatternRecommendation
Hardcoded secretsconst API_KEY = "sk-"Use environment variables
SQL injection\"SELECT * FROM...\" + user_inputUse parameterized queries
XSS vulnerabilityinnerHTML = user_inputSanitize or use textContent
Missing auth checkNew endpoint without @RequireAuthAdd authentication middleware

Performance Issues

IssuePatternRecommendation
N+1 queryLoop with database callUse eager loading or batch queries
Unnecessary re-renderMissing dependencies in useEffectFix dependency array
Memory leakEvent listener not removedAdd cleanup in useEffect return
Inefficient loopNested loops O(n²)Consider hash map or different algorithm

Code Quality Issues

IssuePatternRecommendation
Duplicate codeSimilar blocks repeatedExtract to function
Magic numberif (status === 5)Use named constant
Long functionFunction >50 linesSplit into smaller functions
Complex condition`a && b

Testing Issues

IssuePatternRecommendation
No testsNew feature without test fileAdd unit tests
Untested edge caseTest only covers happy pathAdd edge case tests
Brittle testTest relies on implementation detailsTest behavior, not implementation
Missing assertionTest doesn't assert anythingAdd proper assertions

Language-Specific Guidelines

TypeScript

  • Use unknown instead of any for untyped values
  • Prefer interface for public APIs, type for unions
  • Use strict mode settings
  • Avoid as assertions when possible

React

  • Follow Hooks rules
  • Use useCallback/useMemo appropriately (not prematurely)
  • Prefer function components
  • Use proper key props in lists
  • Avoid prop drilling with Context

Python

  • Follow PEP 8 style guide
  • Use type hints
  • Use f-strings for formatting
  • Prefer list comprehensions over map/filter
  • Use context managers for resources

Go

  • Handle errors explicitly
  • Use named returns for clarity
  • Keep goroutines simple
  • Use channels for communication
  • Avoid package-level state

Before Approving

Confirm the following:

  • All critical issues are addressed
  • Tests pass locally
  • No merge conflicts
  • Commit messages are clear
  • Documentation is updated
  • Breaking changes are documented

Scripts

Run the review checklist script:

python scripts/review_checklist.py <pr-number>

References

  • references/checklist.md - Complete review checklist
  • references/security.md - Security review guidelines
  • references/patterns.md - Common patterns and anti-patterns

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

04

需要参考平台分布和安装热度时

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

补充不同宿主或平台的使用分布数据

能力 5

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

Claude Code

27.47%
按下载量换算1,025

OpenCode

21.7%
按下载量换算810

Antigravity

17.51%
按下载量换算653

Codex

12.62%
按下载量换算471

Gemini CLI

7.85%
按下载量换算293

windsurf

3.13%
按下载量换算117

安全审计

Gen Agent Trust Hub

通过

Socket

可疑

Snyk

通过

权限和风险

敏感数据

该 Skill 可能接触密钥、Token、环境变量或敏感配置,应进入高风险复核队列,默认不自动发布。

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。

来源信息

继续浏览同类 Skills