code-review
Reviews code for quality, security, and maintainability. Use after implementing features, completing significant work, or when user asks for code review.
安装与使用
请根据来源仓库和你的 AI 工具说明安装此技能。先阅读技能文件和依赖要求,再添加到工作流。
查看来源 ↗使用指南技能说明
Code Review
Instructions
- Run
git diffto identify changed files - Read modified files to understand the intent of changes
- Review against the checklist below
- Provide structured feedback organized by priority
Review Checklist
Security
- No exposed credentials, API keys, or secrets
- Input validation implemented where needed
- File paths are sanitized (no path traversal)
- External commands are safely constructed (no injection)
Code Quality
- Variables and functions are clearly named
- Functions have single responsibility
- No code duplication (DRY principle)
- Complex logic has explanatory comments
- Error handling is comprehensive
- No unused imports or variables
- Clean separation of concerns
Python Specific
- Type hints used appropriately
- Exceptions are specific (not bare
except:) - Context managers used for resources
- f-strings preferred over
.format()or%
Testing
- New functionality has test coverage
- Edge cases are tested
- Error conditions are tested
- Tests are readable and maintainable
Project Standards
- Code passes
rufflinting - No legacy wrappers or thin compatibility layers
- No "last updated" dates or copyright headers
Output Format
Organize feedback by severity:
Critical (must fix)
- Security issues
- Bugs that will cause failures
- Include specific line numbers and suggested fixes
Warnings (should fix)
- Code quality issues
- Missing error handling
- Potential edge cases
- Include rationale and improvement suggestions
Suggestions (consider)
- Style improvements
- Minor optimizations
- Include brief explanation of benefit
使用示例
查看来源仓库中的使用示例与配置说明。
查看来源 ↗来源历史
- 收录时间
- 2026-01-20
- 索引更新时间
- 2026-02-02
- Branch
- main
收录与同步日期属于本站记录。源码修改历史请查看来源仓库。
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