Humanizer is a professional-grade editor that detects and removes robotic AI writing patterns to produce natural, human-sounding content.
The fastest way to install a skill directly from the registry.
npx clawhub@latest install ai-humanizer
Copy the skill folder to one of these locations
~/.openclaw/skills/ <project>/skills/ Priority: Workspace > Local > Bundled
Copy this prompt to OpenClaw to install it automatically.
Help me install ai-humanizer using Clawhub. If Clawhub is not installed, install it first (npm i -g clawhub).
Get the raw skill files in a ZIP archive.
Humanizer is a specialized writing editor designed to identify and eliminate the recognizable hallmarks of AI-generated content. By leveraging a comprehensive suite of 24 pattern detectors and over 500 specific AI vocabulary terms, it ensures your text resonates with an authentic human voice rather than the sterile output of a language model. This tool is a vital addition to your Openclaw Skills library, enabling the production of high-quality content that bypasses common detection markers while maintaining structural integrity.
Beyond simple word replacement, the skill employs statistical analysis to evaluate text burstiness and sentence variety. By focusing on nuances like type-token ratios and sentence length variation, it transforms mechanical drafts into nuanced narratives. Whether you are refining a technical document or a creative blog post, this skill provides the tools necessary to ensure your writing feels personal, specific, and genuinely human.
Install the skill and use the CLI to begin analyzing your text immediately:
# Score text to see how AI-like it is (0-100)
echo "Your text here" | node src/cli.js score
# Generate a full markdown report for an article
node src/cli.js report article.txt > report.md
# Automatically fix and humanize a file
node src/cli.js humanize --autofix -f article.txt
Humanizer organizes its analysis through a rigorous taxonomy of patterns and statistical metrics:
| Category | Metrics and Patterns |
|---|---|
| Content | Significance inflation, vague attributions, formulaic challenges |
| Language | 500+ AI vocabulary terms, copula avoidance, negative parallelisms |
| Style | Em dash/boldface overuse, Title Case headings, emoji frequency |
| Statistics | Burstiness (0.5-1.0), Type-token ratio (0.5-0.7), Trigram repetition (<0.05) |
| Communication | Chatbot artifacts, sycophantic tone, cutoff disclaimers |
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