humanizer

Detect AI-writing patterns and provide rewrite suggestions for input text.

111|18|Updated Feb 1, 2026
One-click install
npx skills add https://github.com/brandonwise/humanizer --skill humanizer-brandonwise
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: humanizer
Source: https://github.com/brandonwise/humanizer/tree/main
Command: npx skills add https://github.com/brandonwise/humanizer --skill humanizer-brandonwise

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill includes scripts (resource) and references (resource) and assets (resource) components.

What problem does it solve?

The Humanizer skill helps writers and teams distinguish AI-generated text and rewrite it to read as if written by a real person, reducing detectability of machine involvement and improving reader trust.

Core Features & Use Cases

  • Pattern detection: scans for common AI writing signals across content, language, style, and filler categories.
  • Statistical analysis: measures burstiness, vocabulary diversity, readability, and other metrics to guide improvements.
  • Humanization workflow: provides concrete rewrite suggestions and safe auto-fixes to produce natural-sounding text for reports, marketing, documentation, and code reviews.

Quick Start

Paste your text to receive analysis and safe rewrite suggestions to humanize the writing.

Frequently Asked Questions about humanizer

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

FAQPage Schema
How do I make AI generated text sound more human and natural?

To make AI generated text sound human, this skill analyzes input text across content, language, style, and filler categories to identify machine writing patterns. It then delivers statistical metrics and concrete rewrite suggestions to produce natural sounding text.

What are common AI writing patterns and how are they detected?

AI writing patterns are detected by scanning text across content, language, style, and filler categories using modular detectors. The system identifies these signals alongside statistical metrics like burstiness and vocabulary diversity to measure machine involvement.

Can I integrate AI text humanization into a CI pipeline?

Yes, you can integrate humanization into a CI pipeline. The system runs as an OpenClaw skill with modular detectors and a stats engine, delivering structured results designed for integration with editors and automated CI pipelines.

How do I measure text burstiness and vocabulary diversity to check for AI writing?

You measure text burstiness and vocabulary diversity using the built-in statistical analysis engine. It evaluates readability and other statistical metrics to guide improvements and highlight detectable AI writing signals.

Does the humanization workflow support automated rewriting for marketing and documentation?

The humanization workflow supports marketing and documentation by providing concrete rewrite suggestions and safe auto-fixes. This produces natural sounding text for reports and documentation while reducing machine detectability.