# Code Review

> Structured code quality assessment with Conventional Comments format, scaled review depth, and soft-gating verdicts preserving user autonomy.

- Skill: `majiayu000/code-review-28` (Agent Skill, multi-file: 2 files)
- Install (CLI): `npx skillmds add majiayu000/code-review-28`
- Raw SKILL.md: https://api.skillmd.com/api/skills/majiayu000/code-review-28/raw
- Safety review: pending
- Works with: Claude Code, Claude.ai, OpenAI Codex
- Category: Coding & Dev Tools
- Author: majiayu000 (https://skillmd.com/u/majiayu000)
- Updated: 2026-09-09
- Page: https://skillmd.com/skills/majiayu000/code-review-28

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# Code Review

## Overview

Assess code quality, design, correctness, and maintainability through a structured 9-step review workflow. Uses Conventional Comments format with file-specific references.

## When to Use

- After implementation phase completes
- When reviewing code changes before merge
- As part of the /review-code command

## Process

1. Identify modified files via git
2. Assess change magnitude for review depth
3. Execute 9-step review: context, correctness, design, testing, security flags, operations, maintainability
4. Synthesize findings in standardized report
5. Deliver verdict with rationale

## Review Depth Scaling

- Under 200 lines: full detail review
- 200-1000 lines: focused review on critical areas
- Over 1000 lines: architectural-level review only

## Verdicts

- **APPROVE**: Ready for security review
- **APPROVE WITH NITS**: Non-blocking suggestions only
- **REQUEST CHANGES**: Blocking issues exist (user may override)

## Key Rules

- Provide specific file paths and line numbers
- Include at least one positive comment per review
- Use Conventional Comments format with decorations
- Explain reasoning, not just observations
- Limit critical issues to top 5 per category
- Reviews are soft gates preserving user autonomy

## Tool Use

Invoke via babysitter process: `methodologies/rpikit/rpikit-review`