Quality
Comprehensive code quality assessment in spaces/[project]/. Use before commits, merges, or releases to ensure consistent quality.
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# /quality Comprehensive quality assessment of code using multi-agent analysis. ## Usage ```bash /quality yourbench # Full assessment /quality yourbench --focus security # Security-focused /quality coordinatr --focus testing # Test coverage focus ``` ## Focus Areas | Flag | Analysis | Agent | |------|----------|-------| | (none) | All dimensions | All specialists | | `--focus security` | OWASP, vulnerabilities | security-auditor | | `--focus performance` | Bottlenecks, N+1 | performance-optimizer | | `--focus testing` | Coverage, test quality | test-engineer | | `--focus code` | Maintainability | code-reviewer | ## Execution Flow ### 1. Locate Project ```bash ls spaces/[project]/ ``` ### 2. Run Automated Checks ```bash cd spaces/[project] npm test -- --coverage npm run lint npm run type-check # if TypeScript ``` ### 3. Agent Analysis Coordinate specialists via Task tool: - **code-reviewer**: Complexity, best practices - **security-auditor**: OWASP Top 10 - **performance-optimizer**: N+1 queries, bottlenecks - **test-engineer**: Coverage, test quality ### 4. Generate Report ```markdown ## Quality Assessment: [project] **Overall Score: XX/100** [status] ### Code Quality: XX/100 - Issues found - Recommendations ### Security: XX/100 - Critical/High/Medium issues - Recommendations ### Performance: XX/100 - Bottlenecks identified - Recommendations ### Testing: XX/100 - Coverage percentage - Untested areas ### Priority Actions 1. **CRITICAL**: [action] 2. **HIGH**: [action] 3. **MEDIUM**: [action] ``` ## Scoring | Score | Status | Meaning | |-------|--------|---------| | 90-100 | Excellent | Ship it | | 80-89 | Good | Minor improvements | | 70-79 | Acceptable | Address soon | | 60-69 | Concerning | Fix before merge | | <60 | Critical | Must fix | ## Quality Dimensions ### Code Quality - Cyclomatic complexity - Code duplication - SOLID principles - Dead code detection ### Security - OWASP Top 10 - Auth/authz patterns - Input validation - Secrets in code ### Performance - N+1 query detection - Inefficient algorithms - Bundle size - Caching opportunities ### Testing - Line/branch coverage - Test quality - Edge case coverage - Integration test gaps ## When to Use - Before major release - Onboarding to new codebase - Periodic health checks - Before refactoring
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