Detect and fix AI-generated code anti-patterns in files or branch diffs.
npx skills add https://github.com/zocomputer/skills --skill code-degunker
Please help me install this Agent Skill. Skill: code-degunker Source: https://github.com/zocomputer/skills/tree/main/Community/code-degunker Command: npx skills add https://github.com/zocomputer/skills --skill code-degunker
This Skill identifies and rectifies common anti-patterns found in AI-generated code, ensuring code is production-ready, maintainable, and correct.
Use the code-degunker skill to review and clean up the provided code snippet.
High-intent search queries and answers about installing and using this skill.
To fix AI-generated code anti-patterns, you can scan the code to detect hallucinated APIs, incomplete implementations, and missing error handling, then automatically rewrite those sections to restore robustness and production readiness.
Common AI code anti-patterns include over-engineering, code bloat, dead code, type workarounds, magic numbers, inconsistent patterns, and poor architecture, alongside subtle security vulnerabilities and performance issues.
Yes, you can review a full branch diff or a single file to detect missing error handling and security vulnerabilities, ensuring the AI-generated code logic is correct and maintainable.
You can automatically refactor code bloat and dead code by identifying these anti-patterns and rewriting the problematic sections, which eliminates unnecessary complexity while preserving the original intent.
Yes, code-degunker identifies incomplete implementations and TODOs left by AI, rectifying these flaws to ensure the final code is correct, maintainable, and fully production-ready.
The best way to audit suspect AI code is to scan for 27 distinct anti-patterns across architecture, logic, security, performance, completeness, style, and reliability, automatically refactoring the flaws into robust code.
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lips85Enforce the Red-Green-Refactor cycle for Test-Driven Development.
eliottbusinessAutomate pre-commit code review with static analysis and security scanning.
arorakrishhAnalyze backend code for security vulnerabilities, performance bottlenecks, and architecture issues.
