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clawhub_anderskev
Detects common LLM coding agent artifacts in codebases. Identifies test quality issues, dead code, over-abstraction, and verbose LLM style patterns. Use when cleaning up AI-generated code or reviewing for agent-introduced cruft.
PURPOSE
Detects common LLM coding agent artifacts in codebases. Identifies test quality issues, dead code, over-abstraction, and verbose LLM style patterns. Use when cleaning up AI-generated code or reviewing for agent-introduced cruft.
USER EXPERIENCE
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REQUIREMENTS
当前版本没有声明额外依赖。
权限、网络访问和静态扫描结果放在“安全与权限”页签，避免把工程细节堆在概览里。