A sophisticated writing editor for Openclaw Skills that identifies AI writing signatures and rewrites text to sound naturally human.
The fastest way to install a skill directly from the registry.
npx clawhub@latest install ai-humanizer-2-1-0
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-2-1-0 using Clawhub. If Clawhub is not installed, install it first (npm i -g clawhub).
Get the raw skill files in a ZIP archive.
The Humanizer skill is a specialized tool for Openclaw Skills designed to bridge the gap between algorithmic output and natural human prose. By leveraging 24 distinct pattern detectors and statistical analysis, it identifies the hallmarks of large language models—such as predictable sentence rhythms and specific 'AI vocabulary'—and replaces them with specific, personality-driven writing. It is an essential utility for anyone looking to ensure their AI-generated content resonates with real readers rather than sounding like a sterile press release.
This skill goes beyond simple word swapping; it analyzes the structural DNA of the text, including burstiness and type-token ratios, to ensure the output mimics the natural variability of human thought. Whether you are refining technical documentation or creative blog posts, this addition to your Openclaw Skills library provides the linguistic nuance required to make writing sound like it was written by a person, not a model.
To integrate Humanizer with your Openclaw Skills environment, ensure you have the necessary dependencies and use the following CLI commands:
# Score text to determine AI-likelihood
echo "Your text here" | node src/cli.js score
# Generate a comprehensive analysis report
node src/cli.js analyze -f draft.md
# Apply humanization suggestions with auto-fixes
node src/cli.js humanize --autofix -f article.txt
# Output statistical data in JSON format
node src/cli.js analyze --json < input.txt
The Humanizer skill organizes its analysis based on four primary statistical signals and a multi-tier vocabulary taxonomy:
| Signal | Human Benchmark | AI Benchmark | Utility |
|---|---|---|---|
| Burstiness | 0.5 - 1.0 | 0.1 - 0.3 | Measures sentence rhythm |
| Type-Token Ratio | 0.5 - 0.7 | 0.3 - 0.5 | Measures vocabulary diversity |
| Sentence Length Var | High CoV | Low CoV | Identifies uniform structures |
| Trigram Repetition | < 0.05 | > 0.10 | Detects repetitive phrasing |
It also monitors three tiers of vocabulary, ranging from Tier 1 'Dead Giveaways' (e.g., delve, tapestry, robust) to Tier 2 'Suspicious Density' terms (e.g., furthermore, holistic).
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