An advanced analytical tool that calculates the probability of AI involvement in any web article using eight distinct statistical dimensions.
Install & Download
1. ClawHub CLI
The fastest way to install a skill directly from the registry.
npx clawhub@latest install ai-article-detector
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-article-detector 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 AI Article Detector?
The AI Article Detector is a specialized utility within the Openclaw Skills ecosystem designed to verify the authenticity of digital content. By analyzing a provided URL, the tool scans for specific linguistic markers and structural patterns that distinguish human creativity from synthetic generation. It provides a transparent probability score from 0 to 100, where higher values indicate a near-certainty of AI authorship.
Built for researchers, editors, and digital marketers, this skill ensures content integrity without compromising privacy. Unlike cloud-based black-box detectors, this Openclaw Skills contribution focuses on local analysis and multi-vector statistical features to deliver high-confidence results in seconds.
AI Article Detector Use Cases
- Verifying the authenticity of freelance submissions or guest blog posts.
- Performing competitive research to see if rivals are utilizing AI-generated content strategies.
- Academic or journalistic integrity checks for online citations.
- Auditing internal content repositories for AI-generated patterns to maintain SEO compliance.
How AI Article Detector Works
- URL Retrieval: The skill fetches the raw text content from the specified web link.
- Multi-Vector Analysis: The engine processes the text across eight weighted dimensions, including lexical diversity (15%) and AI template word frequency (18%).
- Statistical Modeling: It applies Shannon Entropy for text randomness and measures sentence length coefficients.
- Scoring Engine: The individual metrics are aggregated into a final percentage score.
- Reporting: The tool outputs a detailed probability report ranging from Human (0-19) to Highly Likely AI (80-100).
AI Article Detector Setup
To integrate this tool into your environment, ensure you have Node.js installed and follow these steps:
# Navigate to your local Openclaw Skills directory
# Execute the detector by passing a target URL
node ai-article-detector.js "https://example.com/article"
AI Article Detector Data Schema & Taxonomy
The skill processes input URLs and generates a structured probability report. The analysis taxonomy includes:
| Feature | Weight | Description |
|---|---|---|
| Lexical Diversity | 15% | Type-Token Ratio analysis |
| Sentence Variation | 15% | Coefficient of sentence length |
| Paragraph Regularity | 12% | Uniformity of paragraph length |
| AI Template Words | 18% | Frequency of transitional 'AI-flavor' words |
| Text Entropy | 10% | Shannon Entropy calculation |
| Sentiment Intensity | 10% | Ratio of extreme vocabulary |
| Passive Voice | 12% | Proportion of passive vs. active structures |
| Personalization Markers | 8% | Usage of emojis and personal identifiers |
AI Article Detector Advanced Features
- Privacy-First Local Analysis: Processes text locally to ensure sensitive URLs aren't logged by third-party APIs.
- High-Reliability Weighting: Prioritizes transition word frequency as a primary indicator of synthetic text.
- Sub-Second Latency: Optimized for rapid-fire auditing of large URL batches.
- Detailed Scoring Tiers: Provides nuanced classifications (Low, Medium, High, Extreme) rather than a simple binary output.
SKILL.md
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