code-review-patterns

Solid

Multi-dimensional code assessment across security, quality, performance, and maintainability with confidence-gated reporting (>=80%) and Router Contract generation.

Code & Development 814 stars 53 forks Updated today MIT

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Quality Score: 93/100

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Description 5%
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Skill Content

# Code Review Patterns ## Overview Structured patterns for multi-dimensional code review with strict confidence gating. Only issues with >=80% confidence are reported. Zero tolerance for empty catch blocks. ## Four Dimensions ### Security (weight: 30%) - Injection vulnerabilities (SQL, XSS, command) - Authentication and authorization patterns - Secrets handling (no hardcoded credentials) - Input validation and sanitization ### Quality (weight: 25%) - Naming conventions and consistency - Code structure (SRP, cohesion, coupling) - Error handling completeness - Type safety (no `any` escapes) ### Performance (weight: 20%) - Algorithmic complexity (flag O(n^2) or worse) - Resource and memory leaks - Database query efficiency (N+1) - Caching opportunities ### Maintainability (weight: 25%) - Documentation (JSDoc/TSDoc for public APIs) - Test coverage adequacy - Readability (function length, nesting depth) - Tech debt markers (TODO, FIXME) ## Confidence Gating - Only report issues with confidence >= 80% - Empty catch blocks are always critical (100% confidence) - Classify: critical, high, medium, low - Include actionable remediation for each issue ## Router Contract Every review must produce: STATUS, BLOCKING, REQUIRES_REMEDIATION, issue counts. ## When to Use - Code review step in BUILD workflow - Fix review in DEBUG workflow - Full REVIEW workflow ## Agents Used - `code-reviewer` (primary consumer) - `silent-failure-hunter` (error handling dimension)

Details

Author
a5c-ai
Repository
a5c-ai/babysitter
Created
4 months ago
Last Updated
today
Language
JavaScript
License
MIT

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