ai-detect

Analyze documents for AI authorship using a 9-category weighted scoring framework.

Updated Oct 17, 2024
One-click install
npx skills add https://github.com/mrilikecoding/dotfiles --skill ai-detect
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: ai-detect
Source: https://github.com/mrilikecoding/dotfiles/tree/main/home/.claude/skills/ai-detect
Command: npx skills add https://github.com/mrilikecoding/dotfiles --skill ai-detect

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill includes scripts (resource) and references (resource) components.

What problem does it solve?

This Skill provides a comprehensive framework for analyzing documents to determine if they were generated by AI, authored by a human, or produced collaboratively, offering detailed reports and actionable revision recommendations.

Core Features & Use Cases

  • AI Text Detection: Evaluates documents against a 9-category research-backed framework.
  • Citation Integrity Verification: Rigorously checks every citation for accuracy and authenticity.
  • Detailed Reporting: Produces a structured report with weighted scores, confidence levels, and specific revision advice.
  • Use Case: An academic institution can use this Skill to review submitted papers for potential AI authorship, ensuring academic integrity.

Quick Start

Use the ai-detect skill to analyze the attached document 'research_paper.pdf' for AI-generated content.

Frequently Asked Questions about ai-detect

High-intent search queries and answers about installing and using this skill.

FAQPage Schema
How do I detect AI-generated text in an academic paper?

AI text detection in academic papers is performed using a 9-category framework that evaluates lexical markers, statistical properties, citation integrity, and stylometric features. This analysis produces a weighted score and detailed report with actionable revision recommendations.

What is the best way to verify citation integrity for academic integrity checks?

Citation integrity verification rigorously checks every citation within a document for accuracy and authenticity. This process is integrated into the AI detection framework to ensure academic integrity by identifying fabricated or hallucinated academic references.

How does writing analysis distinguish between human-authored and AI-authored content?

Writing analysis distinguishes human-authored from AI-authored content by evaluating metadiscourse, structural characteristics, voice, and content authenticity. The framework assigns weighted scores across these categories to determine if a document is AI-authored, human-authored, or collaboratively produced.

Can I use writing analysis for collaboratively produced documents?

Yes, writing analysis can evaluate collaboratively produced documents. The 9-category AI detection framework is explicitly designed to distinguish between AI-authored, human-authored, and collaboratively produced content by analyzing stylometric features and definitive smoking guns.

Does AI detection work with attached PDF documents like research papers?

Yes, AI detection works with attached PDF documents such as research papers. The analysis requires tools for reading, grepping, globbing, web searching, and web fetching to conduct its comprehensive evaluation and produce structured reports with confidence levels.