Analyzes article URLs to determine the probability of AI generation using multi-dimensional statistical profiling.
The AI Article Detector skill empowers Claude to evaluate the authenticity of web-based content by calculating an AI-writing probability score from 0 to 100. By examining eight distinct dimensions—including vocabulary diversity, sentence variation, and the presence of common AI 'template' words—the skill provides a comprehensive report on whether a piece of writing is human or machine-generated. This tool is essential for editors, researchers, and content managers who need to verify authorship and maintain content standards through efficient, local analysis.
Key Features
013 GitHub stars
028-dimensional statistical analysis including Type-Token Ratio and Shannon Entropy
03Detection of common AI linguistic patterns and 'template' transition words
04Detailed breakdown of writing style markers and emotional intensity
05Real-time probability scoring ranging from human-like to highly likely AI
06Privacy-focused local analysis for secure content verification
Use Cases
01Identifying low-effort AI-generated content for SEO and editorial auditing
02Verifying the authenticity of blog posts and news articles
03Analyzing writing styles to distinguish between human and synthetic authorship
