code-review

Solid

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

Code & Development 1,160 stars 71 forks Updated today MIT

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Quality Score: 94/100

Stars 20%
100
Recency 20%
100
Frontmatter 20%
70
Documentation 15%
67
Issue Health 10%
50
License 10%
100
Description 5%
100

Skill Content

# 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`

Details

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

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