humanize-code

Detect and remove AI-generated code patterns while preserving behavior.

6|Updated Jun 19, 2026
One-click install
npx skills add https://github.com/Ruiqi-Yan/HumanizeCode --skill humanize-code
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: humanize-code
Source: https://github.com/Ruiqi-Yan/HumanizeCode/tree/main
Command: npx skills add https://github.com/Ruiqi-Yan/HumanizeCode --skill humanize-code

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

This Skill removes common signs of AI-generated code while preserving the original behavior, helping engineers improve maintainability without introducing regressions.

Core Features & Use Cases

  • AI Pattern Detection: Identifies suspicious code patterns such as redundant comments, overlong names, unnecessary defensive logic, dead code, and speculative abstractions.
  • Test-Guarded Refactoring: Uses a detect-modify-verify workflow that establishes safety baselines, applies behavior-preserving edits, and validates changes through tests.
  • Use Case: A developer can use this Skill to clean up an AI-assisted module, align it with the surrounding codebase style, and keep the existing functionality intact.

Quick Start

Ask the Skill to humanize the AI-generated patterns in a code module while keeping behavior unchanged and ensuring tests remain green.

Frequently Asked Questions about humanize-code

High-intent search queries and answers about installing and using this skill.

FAQPage Schema
How do I remove AI patterns from generated code without breaking existing functionality?

To remove AI patterns without breaking functionality, use a test-guarded refactoring workflow that establishes safety baselines, applies behavior-preserving edits, and validates changes through tests.

What are common signs of AI-generated code I should look for during code review?

Common signs of AI-generated code to look for during code review include redundant comments, overlong names, unnecessary defensive logic, dead code, and speculative abstractions.

Can I use test-driven verification to humanize AI code in JavaScript and TypeScript projects?

Yes, you can use test-driven verification to humanize AI code in JavaScript and TypeScript projects by validating edge cases before accepting code transformations.

Does refactoring AI-assisted modules to match codebase style require behavior-preserving edits?

Refactoring AI-assisted modules to match codebase style requires behavior-preserving edits to ensure the original behavior is kept intact while improving maintainability.

What is the best way to clean up speculative abstractions and dead code from AI-assisted changes?

The best way to clean up speculative abstractions and dead code from AI-assisted changes is applying pattern detection to identify suspicious code and then modifying it while keeping tests green.

When should I not use automated refactoring for Python code cleanup?

You should not use automated refactoring for Python code cleanup when you lack test coverage to validate edge cases, as behavior-preserving edits require tests to verify no regressions are introduced.