# Moai Alfred Code Reviewer

> Systematic code review guidance and automation. Apply TRUST 5 principles, check code quality, validate SOLID principles, identify security issues, and ensure maintainability. Use when conducting code reviews, setting review standards, or implementing review automation.

- Skill: `majiayu000/moai-alfred-code-reviewer-2` (Agent Skill, multi-file: 2 files)
- Install (CLI): `npx skillmds@latest add majiayu000/moai-alfred-code-reviewer-2`
- Raw SKILL.md: https://api.skillmd.com/api/skills/majiayu000/moai-alfred-code-reviewer-2/raw
- Safety review: pending (external: skill-scanner PASS, skillspector PASS)
- Works with: Claude Code, Claude.ai, OpenAI Codex
- Category: Security
- Author: majiayu000 (https://skillmd.com/u/majiayu000)
- Updated: 2026-09-09
- Page: https://skillmd.com/skills/majiayu000/moai-alfred-code-reviewer-2

---


## Skill Metadata

| Field | Value |
| ----- | ----- |
| Version | 1.0.0 |
| Tier | Quality |
| Auto-load | When conducting code reviews or quality checks |

## What It Does

체계적인 코드 리뷰 프로세스와 자동화 가이드를 제공합니다. TRUST 5 원칙 적용, 코드 품질 검증, SOLID 원칙 준수, 보안 이슈 식별, 유지보수성 보장을 다룹니다.

## When to Use

- 코드 리뷰를 수행할 때
- 리뷰 표준과 가이드라인을 설정할 때
- 코드 품질 자동화를 구현할 때
- 팀의 코드 리뷰 문화를 개선할 때


# Systematic Code Review with TRUST 5 Principles

Code review is a quality assurance process that ensures code meets standards, follows best practices, and maintains long-term maintainability. This skill provides systematic guidance for conducting thorough, effective code reviews.

## Code Review Framework

### The TRUST 5 Review Framework

| Principle | Review Focus | Key Questions | Tools |
|-----------|--------------|---------------|-------|
| **T** - Test First | Test coverage & quality | Are tests comprehensive? Do they test edge cases? | pytest coverage, jest --coverage |
| **R** - Readable | Code clarity & maintainability | Is code self-documenting? Are names meaningful? | linters, code formatters |
| **U** - Unified | Consistency & standards | Does it follow team patterns? Is it cohesive? | style guides, architectural patterns |
| **S** - Secured | Security & vulnerabilities | Are inputs validated? Are secrets handled properly? | security scanners, static analysis |
| **T** - Trackable | Documentation & traceability | Is code linked to requirements? Are changes documented? | @TAG system, git history |

## High-Freedom: Review Strategy & Philosophy

### When to Review vs When to Trust

```markdown
## Review Decision Matrix

| Change Type | Review Level | Automation | Focus Areas |
|-------------|--------------|------------|-------------|
| Critical security | 🔴 Mandatory | Full scan | Vulnerabilities, input validation |
| Core architecture | 🟡 Deep review | Partial | Design patterns, scalability |
| Bug fixes | 🟢 Standard | Automated | Root cause, test coverage |
| Documentation | 🟢 Light | Basic | Accuracy, completeness |
| Configuration | 🟢 Automated | Full | Security, best practices |
```

### Review Culture Principles

✅ **Psychological Safety**: Reviews are about code, not people  
✅ **Learning Opportunity**: Reviews transfer knowledge and standards  
✅ **Constructive Feedback**: Focus on improvement, not criticism  
✅ **Consistent Standards**: Apply same criteria to all code  
✅ **Efficient Process**: Automated checks first, human review for value-add  

### Review Anti-patterns to Avoid

❌ **Nitpicking**: Focus on style over substance  
❌ **Authoritarian**: "Do it this way because I said so"  
❌ **Incomplete**: "Looks good" without specific feedback  
❌ **Delayed**: Reviews blocking progress for days  
❌ **Inconsistent**: Different standards for different people  

## Medium-Freedom: Review Process & Checklists

### Structured Review Process

```pseudocode
## Review Workflow

1. PRE-REVIEW AUTOMATION (2-5 min)
   a. Run linters and formatters
   b. Execute test suite with coverage
   c. Scan for security vulnerabilities
   d. Check for @TAG compliance
   
2. CODE COMPREHENSION (5-10 min)
   a. Read commit message and PR description
   b. Understand the problem being solved
   c. Identify affected components
   d. Review test changes first
   
3. DETAILED REVIEW (10-20 min)
   a. Apply TRUST 5 framework systematically
   b. Check architectural consistency
   c. Validate error handling
   d. Assess performance implications
   
4. FEEDBACK SYNTHESIS (5 min)
   a. Categorize issues: Must-fix, Should-fix, Nice-to-have
   b. Provide specific, actionable feedback
   c. Explain reasoning behind suggestions
   d. Offer to discuss complex changes
```

### Code Review Checklist Template

```markdown
## Code Review Checklist

### 🧪 Test Coverage (T)
- [ ] New features have corresponding tests
- [ ] Test coverage ≥ 85% (or team standard)
- [ ] Edge cases and error conditions tested
- [ ] Integration tests included where appropriate
- [ ] Tests are readable and maintainable

### 📖 Readability (R)
- [ ] Function and variable names are descriptive
- [ ] Complex logic is commented or extracted
- [ ] File length ≤ 300 LOC (or team standard)
- [ ] Function length ≤ 50 LOC (or team standard)
- [ ] No magic numbers or hardcoded values

### 🔗 Unity (U)
- [ ] Follows established team patterns
- [ ] Consistent with existing codebase style
- [ ] Uses shared utilities and libraries
- [ ] Architecture aligns with project structure
- [ ] Imports and dependencies are organized

### 🔒 Security (S)
- [ ] Input validation for all user inputs
- [ ] No hardcoded secrets or credentials
- [ ] Proper error handling without information leakage
- [ ] Authentication and authorization checked
- [ ] SQL injection and XSS protection in place

### 🏷️ Traceability (T)
- [ ] Code changes linked to SPEC or issue
- [ ] @TAG references are correct and complete
- [ ] Commit message is clear and descriptive
- [ ] Documentation updated as needed
- [ ] Breaking changes are documented
```

## Low-Freedom: Automated Review Scripts

### Pre-commit Review Automation

```bash
#!/bin/bash
# .claude/skills/moai-alfred-code-reviewer/scripts/pre-review-check.sh

set -e

echo "🔍 Running automated code review checks..."

# Test Coverage Check
echo "📊 Checking test coverage..."
python -m pytest --cov=src --cov-fail-under=85 --cov-report=term-missing

# Code Quality Checks
echo "🧹 Running linters..."
python -m ruff check src/ --show-source
python -m mypy src/ --strict

# Security Scanning
echo "🔒 Scanning for security issues..."
python -m bandit -r src/ -f json -o bandit-report.json

echo "✅ All automated checks passed!"
```

## Integration with Development Workflow

### Pre-commit Integration

```yaml
# .pre-commit-config.yaml
repos:
  - repo: local
    hooks:
      - id: security-review
        name: Security Review
        entry: .claude/skills/moai-alfred-code-reviewer/scripts/security_review.py
        language: script
        args: [src/]
        pass_filenames: false
```

## Review Best Practices Summary

### For Reviewers
✅ **Start with understanding**: Read the PR description first  
✅ **Automate first**: Let tools catch the obvious issues  
✅ **Focus on value**: Spend time on architectural and security concerns  
✅ **Be specific**: Provide exact locations and suggestions  
✅ **Explain why**: Help the author understand the reasoning  

### For Authors
✅ **Self-review first**: Run all automated checks before submitting  
✅ **Write clear descriptions**: Explain what and why  
✅ **Keep PRs small**: Large changes are harder to review effectively  
✅ **Respond promptly**: Address feedback in a timely manner  
✅ **Learn from feedback**: Use reviews as learning opportunities  

---

**Reference**: Code Review Best Practices, TRUST 5 Principles  
**Version**: 1.0.0

