
code-review-quality
by proffesor-for-testing
Agentic QE Fleet is an open-source AI-powered quality engineering platform designed for use with Claude Code, featuring specialized agents and skills to support testing activities for a product at any stage of the SDLC. Free to use, fork, build, and contribute. Based on the Agentic QE Framework created by Dragan Spiridonov.
SKILL.md
name: code-review-quality description: "Conduct context-driven code reviews focusing on quality, testability, and maintainability. Use when reviewing code, providing feedback, or establishing review practices." category: development-practices priority: high tokenEstimate: 900 agents: [qe-quality-analyzer, qe-security-scanner, qe-performance-tester, qe-coverage-analyzer] implementation_status: optimized optimization_version: 1.0 last_optimized: 2025-12-02 dependencies: [] quick_reference_card: true tags: [code-review, feedback, quality, testability, maintainability, pr-review]
Code Review Quality
<default_to_action> When reviewing code or establishing review practices:
- PRIORITIZE feedback: 🔴 Blocker (must fix) → 🟡 Major → 🟢 Minor → 💡 Suggestion
- FOCUS on: Bugs, security, testability, maintainability (not style preferences)
- ASK questions over commands: "Have you considered...?" > "Change this to..."
- PROVIDE context: Why this matters, not just what to change
- LIMIT scope: Review < 400 lines at a time for effectiveness
Quick Review Checklist:
- Logic: Does it work correctly? Edge cases handled?
- Security: Input validation? Auth checks? Injection risks?
- Testability: Can this be tested? Is it tested?
- Maintainability: Clear naming? Single responsibility? DRY?
- Performance: O(n²) loops? N+1 queries? Memory leaks?
Critical Success Factors:
- Review the code, not the person
- Catching bugs > nitpicking style
- Fast feedback (< 24h) > thorough feedback </default_to_action>
Quick Reference Card
When to Use
- PR code reviews
- Pair programming feedback
- Establishing team review standards
- Mentoring developers
Feedback Priority Levels
| Level | Icon | Meaning | Action |
|---|---|---|---|
| Blocker | 🔴 | Bug/security/crash | Must fix before merge |
| Major | 🟡 | Logic issue/test gap | Should fix before merge |
| Minor | 🟢 | Style/naming | Nice to fix |
| Suggestion | 💡 | Alternative approach | Consider for future |
Review Scope Limits
| Lines Changed | Recommendation |
|---|---|
| < 200 | Single review session |
| 200-400 | Review in chunks |
| > 400 | Request PR split |
What to Focus On
| ✅ Review | ❌ Skip |
|---|---|
| Logic correctness | Formatting (use linter) |
| Security risks | Naming preferences |
| Test coverage | Architecture debates |
| Performance issues | Style opinions |
| Error handling | Trivial changes |
Feedback Templates
Blocker (Must Fix)
🔴 **BLOCKER: SQL Injection Risk**
This query is vulnerable to SQL injection:
```javascript
db.query(`SELECT * FROM users WHERE id = ${userId}`)
Fix: Use parameterized queries:
db.query('SELECT * FROM users WHERE id = ?', [userId])
Why: User input directly in SQL allows attackers to execute arbitrary queries.
### Major (Should Fix)
```markdown
🟡 **MAJOR: Missing Error Handling**
What happens if `fetchUser()` throws? The error bubbles up unhandled.
**Suggestion:** Add try/catch with appropriate error response:
```javascript
try {
const user = await fetchUser(id);
return user;
} catch (error) {
logger.error('Failed to fetch user', { id, error });
throw new NotFoundError('User not found');
}
### Minor (Nice to Fix)
```markdown
🟢 **minor:** Variable name could be clearer
`d` doesn't convey meaning. Consider `daysSinceLastLogin`.
Suggestion (Consider)
💡 **suggestion:** Consider extracting this to a helper
This validation logic appears in 3 places. A `validateEmail()` helper would reduce duplication. Not blocking, but might be worth a follow-up PR.
Review Questions to Ask
Logic
- What happens when X is null/empty/negative?
- Is there a race condition here?
- What if the API call fails?
Security
- Is user input validated/sanitized?
- Are auth checks in place?
- Any secrets or PII exposed?
Testability
- How would you test this?
- Are dependencies injectable?
- Is there a test for the happy path? Edge cases?
Maintainability
- Will the next developer understand this?
- Is this doing too many things?
- Is there duplication we could reduce?
Agent-Assisted Reviews
// Comprehensive code review
await Task("Code Review", {
prNumber: 123,
checks: ['security', 'performance', 'testability', 'maintainability'],
feedbackLevels: ['blocker', 'major', 'minor'],
autoApprove: { maxBlockers: 0, maxMajor: 2 }
}, "qe-quality-analyzer");
// Security-focused review
await Task("Security Review", {
prFiles: changedFiles,
scanTypes: ['injection', 'auth', 'secrets', 'dependencies']
}, "qe-security-scanner");
// Test coverage review
await Task("Coverage Review", {
prNumber: 123,
requireNewTests: true,
minCoverageDelta: 0
}, "qe-coverage-analyzer");
Agent Coordination Hints
Memory Namespace
aqe/code-review/
├── review-history/* - Past review decisions
├── patterns/* - Common issues by team/repo
├── feedback-templates/* - Reusable feedback
└── metrics/* - Review turnaround time
Fleet Coordination
const reviewFleet = await FleetManager.coordinate({
strategy: 'code-review',
agents: [
'qe-quality-analyzer', // Logic, maintainability
'qe-security-scanner', // Security risks
'qe-performance-tester', // Performance issues
'qe-coverage-analyzer' // Test coverage
],
topology: 'parallel'
});
Review Etiquette
| ✅ Do | ❌ Don't |
|---|---|
| "Have you considered...?" | "This is wrong" |
| Explain why it matters | Just say "fix this" |
| Acknowledge good code | Only point out negatives |
| Suggest, don't demand | Be condescending |
| Review < 400 lines | Review 2000 lines at once |
Related Skills
- agentic-quality-engineering - Agent coordination
- security-testing - Security review depth
- refactoring-patterns - Maintainability patterns
Remember
Prioritize feedback: 🔴 Blocker → 🟡 Major → 🟢 Minor → 💡 Suggestion. Focus on bugs and security, not style. Ask questions, don't command. Review < 400 lines at a time. Fast feedback (< 24h) beats thorough feedback.
With Agents: Agents automate security, performance, and coverage checks, freeing human reviewers to focus on logic and design. Use agents for consistent, fast initial review.
Score
Total Score
Based on repository quality metrics
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Reviews
Reviews coming soon

