code-review
Structured code quality assessment with Conventional Comments format, scaled review depth, and soft-gating verdicts preserving user autonomy.
Datos de origen
- Repositorio
- a5c-ai/babysitter
- Última actividad en el origen
- 1 de junio de 2026 a las 07:46
- Idioma detectado de SKILL.md
- inglés
- Estrellas
- 1832
- Forks
- 113
Opciones de instalación
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Lee SKILL.md y los archivos complementarios que muestra SkillsMP antes de decidir si quieres instalarlo.
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SKILL.md
Instrucciones de origen · Vista previa de solo lectura- name
- code-review
- description
- Structured code quality assessment with Conventional Comments format, scaled review depth, and soft-gating verdicts preserving user autonomy.
- allowed-tools
- Read, Bash, Grep, Glob, Agent, AskUserQuestion
- graph
- {"domains":["domain:software-engineering"],"skillAreas":["skill-area:agentic-loops","skill-area:orchestration-loop"],"workflows":["workflow:feature-development"],"topics":["topic:developer-experience"],"roles":["role:tech-lead","role:backend-engineer"]}
- 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`
Ver en GitHub