Code Review Analysis
SkillSecurityPerform comprehensive code reviews with best practices, security checks, and constructive feedback. Use when reviewing pull requests, analyzing code quality, checking for security vulnerabilities, or providing code improvement suggestions.
Available today. Use it from your connected AI after setup.
No other account needed.
Connect ahel once, and every AI you use reads what you have installed.
Then ask your AI: use the Code Review Analysis skill
What this skill tells your AI
The instructions your AI receives, as published by aj-geddes/useful-ai-prompts in skills/code-review-analysis/SKILL.md and read by ahel’s review.
Table of Contents
- Overview
- When to Use
- Quick Start
- Reference Guides
- Best Practices
Overview
Systematic code review process covering code quality, security, performance, maintainability, and best practices following industry standards.
When to Use
- Reviewing pull requests and merge requests
- Analyzing code quality before merging
- Identifying security vulnerabilities
- Providing constructive feedback to developers
- Ensuring coding standards compliance
- Mentoring through code review
Quick Start
Minimal working example:
# Check the changes
git diff main...feature-branch
# Review file changes
git diff --stat main...feature-branch
# Check commit history
git log main...feature-branch --oneline
Reference Guides
Detailed implementations in the references/ directory:
| Guide | Contents |
|---|---|
| Initial Assessment | Initial Assessment |
| Code Quality Analysis | Code Quality Analysis |
| Security Review | Security Review |
| Performance Review | Performance Review |
| Testing Review | Testing Review |
| Best Practices | Best Practices |
Best Practices
✅ DO
- Be constructive and respectful
- Explain the "why" behind suggestions
- Provide code examples
- Ask questions if unclear
- Acknowledge good practices
- Focus on important issues
- Consider the context
- Offer to pair program on complex issues
❌ DON'T
- Be overly critical or personal
- Nitpick minor style issues (use automated tools)
- Block on subjective preferences
- Review too many changes at once (>400 lines)
- Forget to check tests
- Ignore security implications
- Rush the review
Signals
- GitHub stars
- 336
- Forks
- 55
- Last commit
- Mar 2026
Advanced
- Catalog kind
- skill
- Gateway key
code-review-analysis- Source
- github.com/aj-geddes/useful-ai-prompts