使用方法
- 复制安装命令，在自己的智能体环境安装前先检查源码包。
- 从原始文档核对所需工具、凭据和支持的宿主。
- 说明输入材料与期望交付物，并对照来源检查输出。
npx skills add https://github.com/yeachan-heo/oh-my-claudecode --skill omc-review开始前需了解
- 安装不包含模型订阅、API 额度或访问文件的权限。
- 仓库星数和安装量反映活跃情况，不等于独立质量或安全测试。
仓库原始内容
按源仓库内容呈现，保留标题、案例、代码、表格、链接以及原文引用的演示图片。
Review
Use this skill to evaluate work that already exists. Review never authors the change it is judging.
This is the canonical review workflow. merge-readiness routes here, and ai-slop-cleaner is an opt-in lane within it.
Goal
Find what is actually wrong, ranked by severity, with enough detail to act on.
Workflow
- Establish what changed and what it was meant to do.
- Read the change against that intent.
- Check correctness first, then risk, then simplification.
- Verify each candidate finding before reporting it.
- Report findings most-severe first.
What to check
- Correctness — logic defects, edge cases, error paths, concurrency
- Risk — security boundaries, destructive operations, data integrity
- Reuse — existing utilities or patterns the change should have used
- Simplification — code that could be deleted or collapsed
- Coverage — behavior that ships untested
Rules
- Separate lanes: the reviewer must not be the author's same active context.
- Verify before reporting. A plausible-sounding finding that does not reproduce is noise.
- State severity honestly; do not pad the list to look thorough.
- "No findings" is a valid result when the work is sound.
- Advisory by default — review informs, it does not gate. Hard gates (release,
security, destructive operations) stay separate and fail closed.
Output
- Findings, most-severe first, each with file, line, and concrete failure scenario
- What was checked and found clean
- Anything that could not be assessed
