An advanced tool for Openclaw Skills that detects robotic AI writing patterns and rewrites text to sound natural, specific, and authentically human.
Install & Download
1. ClawHub CLI
The fastest way to install a skill directly from the registry.
npx clawhub@latest install ai-humanizer-bak
2. Manual Installation
Copy the skill folder to one of these locations
~/.openclaw/skills/ <project>/skills/ Priority: Workspace > Local > Bundled
3. Prompt Installation
Copy this prompt to OpenClaw to install it automatically.
Help me install ai-humanizer-bak using Clawhub. If Clawhub is not installed, install it first (npm i -g clawhub).
Prefer to download?
Get the raw skill files in a ZIP archive.
What is Humanizer?
The Humanizer is a sophisticated writing editor designed for Openclaw Skills to identify and eliminate the tell-tale signs of AI-generated text. Leveraging 24 distinct pattern detectors and a database of over 500 suspicious vocabulary terms, it moves beyond simple synonym replacement to address deep structural issues like sentence uniformity and significance inflation.
By analyzing statistical indicators such as burstiness and type-token ratios, this skill ensures that your AI-assisted drafts are indistinguishable from high-quality human writing. Whether you need to de-AI a blog post or refine a technical report, the Humanizer provides the tools to inject personality and specific detail into every sentence.
Humanizer Use Cases
- Rewriting AI-generated marketing copy to sound authentic and engaging for human readers.
- Analyzing academic or professional drafts to ensure they pass through AI detection filters by improving burstiness.
- Cleaning up chatbot artifacts and sycophantic language from customer-facing communications.
- Converting sterile, "slop-heavy" technical documentation into accessible, opinionated, and clear prose.
How Humanizer Works
- The skill scans input text against 24 specific patterns, including significance inflation and rule of three overuse.
- It performs a statistical analysis of the text's burstiness, sentence length variation, and vocabulary diversity (TTR).
- The system identifies Tier 1 dead-giveaway words (like delve or tapestry) and suggests natural alternatives.
- Problematic sections are rewritten to match the intended tone while preserving the core meaning.
- The final output is verified for natural rhythm and authentic human personality.
Humanizer Setup
To integrate this with your Openclaw Skills workflow, use the following commands to install and run the analyzer:
# Score text (0-100, higher = more AI-like)
echo "Your text here" | node src/cli.js score
# Full analysis report for a file
node src/cli.js analyze -f draft.md
# Humanization suggestions with auto-fixes
node src/cli.js humanize --autofix -f article.txt
Humanizer Data Schema & Taxonomy
The skill organizes its analysis using the following metadata taxonomy:
| Data Point | Description |
|---|---|
| Pattern Detection | Checks 24 specific indicators across Content, Language, Style, and Filler. |
| Vocabulary Tiers | Monitors 500+ terms categorized into Tier 1 (Dead giveaways) and Tier 2 (Suspicious). |
| Statistical Signals | Measures Burstiness (0.1-1.0), Type-Token Ratio, and sentence length CoV. |
| Output Formats | Generates Markdown reports, CLI suggestions, or raw JSON for programmatic use. |
Humanizer Advanced Features
- Multi-Tier Vocabulary Filtering: Automatically identifies and replaces slop words from three distinct tiers of AI-typical language.
- Always-On Mode: Core rules can be integrated into system prompts (SOUL.md) to ensure Openclaw Skills generate human-like text by default.
- Statistical Scoring: Provides a quantitative 0-100 score based on real-world stylometric research and detection indicators.
- Programmatic JSON Export: Enables seamless integration into larger automated content pipelines or CI/CD workflows.
SKILL.md
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