Detect AI-generated code slop and suggest readability fixes.
npx skills add https://github.com/KanuToCL/SonoTag --skill unslop-code
Please help me install this Agent Skill. Skill: unslop-code Source: https://github.com/KanuToCL/SonoTag/tree/main/.claude/skills/unslop-code Command: npx skills add https://github.com/KanuToCL/SonoTag --skill unslop-code
This Skill identifies and helps you remove "AI code slop" – redundant, unreadable, or unnecessarily complex code patterns often generated by AI, which make codebases difficult to maintain.
Use the unslop-code skill to scan your uncommitted changes for AI code slop.
High-intent search queries and answers about installing and using this skill.
To detect AI generated code slop, scan your uncommitted code changes to identify anti-patterns like redundant comments, vacuous tests, over-abstraction, and context-blind reinvention. This analysis pinpoints unnecessary complexity to help improve overall code readability and maintainability.
AI code slop consists of redundant, unreadable, or unnecessarily complex code patterns often generated by AI, such as excessive comments and over-abstraction. These patterns make codebases difficult to maintain by obscuring functional logic with generated complexity.
Fix overly verbose AI generated Python scripts by using a slop detection analysis to highlight unhelpful comments and over-abstraction. The scan provides a detailed roast explaining why the code is problematic and offers actionable advice for simplifying it.
AI slop detection does not identify functional errors in code. It focuses strictly on recognizing patterns that indicate AI-generated complexity, such as vacuous tests and context-blind reinvention, rather than catching runtime bugs or logic failures.
Yes, you can scan uncommitted changes for redundant comments and over-abstraction. The analysis targets these specific anti-patterns directly in your pending work, providing detailed findings and suggested fixes to ensure new code readability.
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