# Code Review Patterns

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

- Skill: `a5c-ai/code-review-patterns` (Agent Skill, multi-file: 2 files)
- Install (CLI): `npx skillmds@latest add a5c-ai/code-review-patterns`
- Raw SKILL.md: https://api.skillmd.com/api/skills/a5c-ai/code-review-patterns/raw
- Safety review: pending (external: skill-scanner PASS, skillspector PASS)
- Works with: Claude Code, Claude.ai, OpenAI Codex
- Category: Security
- Author: a5c-ai (https://skillmd.com/u/a5c-ai)
- Updated: 2026-09-09
- Page: https://skillmd.com/skills/a5c-ai/code-review-patterns

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- 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)