Agent-Skills.md

Agent Skills: code-review

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

UncategorizedID: a5c-ai/babysitter/code-review

Repository

a5c-ai/babysitter
a5c-aiLicense: MIT
1,52087

Install this agent skill to your local

pnpm dlx add-skill https://github.com/a5c-ai/babysitter/tree/HEAD/library/methodologies/rpikit/skills/code-review

Skill Files

Browse the full folder contents for code-review.

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library/methodologies/rpikit/skills/code-review/SKILL.md

Skill Metadata

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