ai-writing-detection
Comprehensive AI writing detection patterns and methodology. Provides vocabulary lists, structural patterns, model-specific fingerprints, and false positive prevention guidance. Use when analyzing text for AI authorship or understanding detection patterns.
Security Assessment
About ai-writing-detection
The ai-writing-detection skill provides a comprehensive set of tools and methodologies for identifying AI-generated text. By analyzing text for common AI-specific patterns, this skill helps to distinguish between human and machine authorship. It leverages a wide array of linguistic, structural, and content-related signals that can be found in AI-generated writing. This skill is particularly useful for anyone looking to evaluate or verify the authenticity of written content, be it academic work, marketing copy, or other text-based materials. It ensures that users can better identify AI involvement in the creation of written content, improving the integrity and credibility of text analysis.
The main features include detecting specific vocabulary patterns, structural abnormalities, and markup artifacts commonly associated with AI authorship. Key features also include content red flags, such as overuse of certain phrases or promotional language, as well as formatting issues like excessive boldface or title case headings. The skill can detect definitive markers from popular AI models, such as ChatGPT, and provides a multi-layered detection methodology. This includes technical artifact scans for markers like `turn0search0` or URL tracking linked to AI-generated content. For users, the skill provides a structured and highly detailed approach for detecting AI authorship across various content types and formats.
Target users of this skill include academic institutions, content verification platforms, research analysts, and anyone involved in AI detection or content authenticity verification. The ability to scan and assess text for AI markers can help in a wide range of contexts, such as academic integrity checks, detecting AI in online articles, or ensuring that content adheres to human-authored standards for quality and originality.
FAQ
How does the ai-writing-detection skill identify AI-generated text?
The skill identifies AI-generated text by analyzing specific patterns such as vocabulary red flags, structural irregularities, formatting issues, and definitive markers like unique ChatGPT references or tracking URLs.
Which tools are supported for use with this skill?
The skill supports the use of the following tools: Read, Grep, Glob, WebFetch, and WebSearch.
Are there any compatibility requirements for using this skill?
No specific compatibility requirements are mentioned, but the skill is designed to work with text-based analysis tools and platforms capable of utilizing the supported tools like Read, Grep, etc.
What is the main limitation of this detection method?
The detection relies on known markers and patterns commonly associated with AI authorship, which means it may not catch all AI-generated text, particularly those not exhibiting the typical markers described.
Can this skill be used to detect AI in any type of content?
Yes, the skill can be applied to various types of written content, including academic papers, blog posts, marketing materials, and more, as long as they exhibit the red flags outlined in the methodology.
Install ai-writing-detection
Quick Setup:
- Copy the skill folder to
.claude/skills/ - Claude will automatically detect and use the skill
Repository
mike-coulbourn/claude-vibes