code-review-quality
proffesor-for-testing/agentic-qe
Conduct context-driven code reviews focusing on quality, testability, and maintainability.
What is code-review-quality?
A structured approach to code review that prioritizes bugs, security, and maintainability over style preferences. Use when reviewing pull requests, providing feedback during pair programming, or establishing team review standards.
- Prioritize feedback by severity: Blocker (🔴) → Major (🟡) → Minor (🟢) → Suggestion (💡)
- Evaluate code across logic correctness, security risks, testability, maintainability, and performance
- Provide context-driven feedback with explanations rather than commands
- Enforce minimum review scope limits (< 400 lines per review session)
- Coordinate with specialized agents for security, performance, coverage, and quality analysis
How to install code-review-quality
npx skills add https://github.com/proffesor-for-testing/agentic-qe --skill code-review-qualityHow to use code-review-quality
- 1.Determine review scope and split PRs larger than 400 lines into chunks
- 2.Apply the quick review checklist: logic, security, testability, maintainability, performance
- 3.Assign feedback priority levels using the provided templates (Blocker, Major, Minor, Suggestion)
- 4.Ask clarifying questions rather than issuing commands; explain why feedback matters
- 5.Use agent-assisted reviews for security, performance, and coverage checks; focus human review on logic and design
Use cases
- Review pull requests with consistent priority levels and feedback templates
- Establish team code review standards and etiquette guidelines
- Conduct security-focused reviews using the qe-security-scanner agent
- Verify test coverage on changed files using the qe-coverage-analyzer agent
- Mentor developers through constructive, question-based feedback
- Code reviewers and team leads
- Quality assurance engineers
- Developers establishing review practices
- Teams using agent-assisted code review workflows
code-review-quality FAQ
Prioritize logic correctness, security risks, test coverage, and maintainability. Skip formatting and style preferences—use linters for those. Review < 400 lines at a time for effectiveness.
Use the priority levels: 🔴 Blocker (must fix), 🟡 Major (should fix), 🟢 Minor (nice to fix), 💡 Suggestion (consider). Always explain why the feedback matters and provide a concrete alternative.
Use agents for security scanning, performance testing, and coverage analysis. They provide consistent, fast initial review. Human reviewers should focus on logic, design, and maintainability.
Aim for fast feedback (< 24 hours) over perfect feedback. If a PR exceeds 400 lines, request the author split it into smaller, reviewable chunks.
Ask questions like 'Have you considered...?' rather than demanding changes. Explain the trade-offs and context. Architecture debates belong in design discussions, not code reviews.
Full instructions (SKILL.md)
Source of truth, from proffesor-for-testing/agentic-qe.
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] trust_tier: 2 validation: schema_path: schemas/output.json validator_path: scripts/validate-config.json
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?
Minimum Findings Enforcement
Reviews must meet a minimum weighted finding score of 3.0 (CRITICAL=3, HIGH=2, MEDIUM=1, LOW=0.5, INFORMATIONAL=0.25). If the initial review falls short, run the qe-devils-advocate agent as a meta-reviewer to find additional observations. Every review should have at least 3 actionable observations.
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.
Skill Composition
- Security concerns → Compose with
/security-testingfor security-focused review - Coverage check → Run
/qe-coverage-analysison changed files - Ship decision → Feed review results into
/qe-quality-assessment
Gotchas
- Agent reviews >400 lines at once and misses issues — chunk reviews to 200-400 lines maximum
- Nitpicking style while missing logic bugs is the #1 agent review failure — prioritize correctness over formatting
- Agent approves code that compiles but has subtle race conditions — always check shared state and async patterns
- Review comments without suggested fixes are unhelpful — always include a proposed alternative
- Agent doesn't check if the PR actually solves the linked issue — verify the stated problem is actually fixed
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