Scan codebases for AI-generated code smells and calculate a weighted index.
npx skills add https://github.com/Objective-Arts/lens-dist --skill ai-smell-scan
Please help me install this Agent Skill. Skill: ai-smell-scan Source: https://github.com/Objective-Arts/lens-dist/tree/main/skills/ai-smell-scan Command: npx skills add https://github.com/Objective-Arts/lens-dist --skill ai-smell-scan
This Skill identifies patterns in code that are characteristic of AI generation, helping to maintain code quality and human readability.
Run the ai-smell-scan skill on the 'src/' directory.
High-intent search queries and answers about installing and using this skill.
You can detect AI-generated code smells by scanning code files to identify and quantify patterns like over-abstraction, comment spam, and verbose naming, providing a weighted index of detected issues for code review.
Common AI code smells include over-abstraction, defensive paranoia, comment spam, speculative features, enterprise patterns, generic wrappers, verbose naming, and excessive structure, all of which degrade human readability and code quality.
Check code quality after an AI refactor by running a scan to calculate an AI Smell Index, which quantifies the level of AI-generated patterns to identify areas requiring human review and cleanup.
Quantify the impact by calculating an AI Smell Index, which analyzes your codebase to provide a weighted measurement of detected AI-generated patterns and excessive structures that reduce human readability.
Yes, you can run a scan on a specific directory like 'src/' to analyze code files for targeted smell types including over-abstraction, comment spam, and generic wrappers, returning a quantified index of these patterns.
An AI Smell Index is a metric that quantifies the level of AI-generated patterns in code by analyzing files for specific smell types, calculating a weighted score to indicate where human review is needed.
YeaChan05Clean AI-generated code slop with regression-tests-first bounded passes.
Objective-ArtsScan and refactor code to remove AI-generated patterns for human readability.
alangebRun pyscan, pyanalyze, ruff, and black to generate a unified markdown report.
chapzinIdentify code quality issues and anti-patterns in pull request reviews.
