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code-review

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

不碰外部(只输出文字)无严重或高危命中a5c-ai/babysitter

它会碰到什么

扫了多少2 个文本文件,2 KB
它会碰到什么不碰外部(只输出文字)
命中总数0 处
命中统计严重 0 · 高 0 · 中 0 · 低 0

这一栏是扫描器报的事实,不是结论。命中多不等于有毒(安全工具、规则库、示例脚本本来就会包含危险写法),命中少也不等于干净。它和你手上的凭据、文件、网络有什么关系,需要你自己看。

技能内容

  • 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

想直接用这个技能?

本站把开放许可(MIT / Apache 等)的技能按仓库打包整理到网盘,点一下转存到你自己的网盘,不用一个个从 GitHub 拉。许可未声明的技能只给原始仓库链接,不打包。

同名技能的其他版本

有 2 个不同仓库或目录里都有叫 code-review 的技能。它们内容并不相同,别混用: