Code Review Checklist
This is a structured code review framework that gives Claude a practical checklist covering correctness, security, performance, and code quality. It includes AI-specific concerns like prompt injection protection and output sanitization, which is smart given how many codebases now integrate LLMs. The anti-pattern examples are concrete (magic numbers, deep nesting, any types) and the emoji-based review comment system (🔴 for blocking, 🟡 for suggestions) is a nice touch for consistent PR feedback. Use it when reviewing pull requests or doing security audits. It won't catch everything a human would, but it enforces a consistent baseline and the LLM-specific sections are genuinely useful for modern stacks.
- skills.sh installs
- 252
- GitHub stars
- 7.6K
- last updated
- Jun 3, 2026
Install
$ npx -y skills add vudovn/antigravity-kit --skill code-review-checklist --agent claude-codeInstalls into .claude/skills of the current project.
Files
Code Review Checklist
Quick Review Checklist
Correctness
- Code does what it's supposed to do
- Edge cases handled
- Error handling in place
- No obvious bugs
Security
- Input validated and sanitized
- No SQL/NoSQL injection vulnerabilities
- No XSS or CSRF vulnerabilities
- No hardcoded secrets or sensitive credentials
- AI-Specific: Protection against Prompt Injection (if applicable)
- AI-Specific: Outputs are sanitized before being used in critical sinks
Performance
- No N+1 queries
- No unnecessary loops
- Appropriate caching
- Bundle size impact considered
Code Quality
- Clear naming
- DRY - no duplicate code
- SOLID principles followed
- Appropriate abstraction level
Testing
- Unit tests for new code
- Edge cases tested
- Tests readable and maintainable
Documentation
- Complex logic commented
- Public APIs documented
- README updated if needed
AI & LLM Review Patterns
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- Repository
- github.com/vudovn/antigravity-kit
- Categories
- Git & Pull Requests, Code Review & Quality
- First seen
- Jun 3, 2026
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