菜单
When coding is done and changes need review → multi-dimensional code review (SOLID, security, quality, edge cases), outputs structured report.
用 Codex 或 Claude 帮你安装 复制这段 Prompt，粘贴到 Codex、Claude 或其他助手里，让它检查 Skill 页面并帮你完成安装。
基于 SOC 职业分类
When prompt, tool, or agent logic changes need regression testing → run eval benchmarks to detect regressions or improvements.
When a task can be parallelized (bulk code review, multi-module refactor, batch analysis) → split into subtasks running in isolated git worktrees via multiple workers.
When the user wants to research academic papers → search ArXiv, extract PDFs, summarize/review/Q&A, generate experiment code.
When you need to interact with web pages using the user's logged-in browser → control Chrome via @playwright/cli daemon, reusing cookies/session with persistent tabs.
When user needs AnyGenIO content generation → unified CLI for task execution with progressive disclosure.
When you need to persist files (reports, docs, evidence) beyond the session → create/query/delete durable artifacts.
| name | code-review |
| description | When coding is done and changes need review → multi-dimensional code review (SOLID, security, quality, edge cases), outputs structured report. |
| triggers | {"intent_patterns":["review|审查|code review|CR|代码审查|review code","帮我看看代码|check.*my.*code|看下.*改得.*对不对","代码.*有没有.*问题|any.*issues|有没有.*bug|security.*check","merge.*前.*检查|pre.*merge|提交前.*审|before.*commit","代码.*质量|code.*quality|clean.*code|重构.*建议|refactor.*suggestion","看下.*diff|review.*changes|这次.*改动|check.*diff","有没有.*安全.*问题|vulnerability|漏洞|注入|injection"],"context_signals":{"keywords":["review","审查","CR","code review","代码质量","merge","diff","安全","质量","检查","vulnerability","refactor"]},"confidence_threshold":0.6} |
| priority | 9 |
| requires_tools | ["bash"] |
| max_tokens | 200 |
| cooldown | 60 |
Run a multi-dimensional code review (SOLID architecture, security, quality, edge cases, cleanup) on the current diff and output a structured report with severity levels (P0-P3). All review checklists, workflow steps, and report generation are handled by run.py.
python3 skills/code-review/run.py review