ai-detector

Analyze text for AI-generated likelihood using predefined rules and signals.

Updated Jun 5, 2026
One-click install
npx skills add https://github.com/yo-steven/ai-detector-skill-exploration-20260605 --skill ai-detector-yo-steven
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: ai-detector
Source: https://github.com/yo-steven/ai-detector-skill-exploration-20260605/tree/main/.claude/skills/ai-detector
Command: npx skills add https://github.com/yo-steven/ai-detector-skill-exploration-20260605 --skill ai-detector-yo-steven

SYSTEM DOCUMENTATION & REQUIREMENTS

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

What problem does it solve?

This Skill addresses the need for evaluating the likelihood of AI-generated text in various prose samples, offering insights for trustworthiness and originality.

Core Features & Use Cases

  • Risk Analysis: Evaluates the potential of a text being AI-generated.
  • Use Cases: Suitable for essays, emails, reviews, articles, messages, and other prose samples to determine originality or AI-influence.
  • Example: When a user asks if a piece of text might have been written by an AI, the Skill provides an analysis with a conclusion and confidence score.

Quick Start

To use the ai-detector skill, execute the following command: ai-detect path/to/text.txt --json

Frequently Asked Questions about ai-detector

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

FAQPage Schema
How do I detect AI-generated text in an essay or article?

You can detect AI-generated text by running the aidetect command in a Python terminal environment. It evaluates text authenticity using predefined rules and signals to output a risk analysis with a conclusion and confidence score.

What is the best way to verify content authenticity and check for AI writing risks?

The best way to verify content authenticity is using a text analysis tool that evaluates predefined signals for AI writing risks. This provides a conclusion and confidence score regarding the likelihood of AI generation for essays, emails, or reviews.

Do I need Python to run ai-detector for text authenticity verification?

Yes, you need a Python environment to run ai-detector for text authenticity verification. The Skill requires execution in a terminal or command prompt with Python installed to analyze prose samples for AI-generated risks.

Can I use ai-detector for risk assessment on emails and short messages?

Yes, you can use ai-detector for risk assessment on emails and short messages. It is designed to analyze various prose samples including messages and reviews to determine originality or AI-influence.

How does text analysis for AI detection work when evaluating originality?

Text analysis for AI detection works by evaluating text against a set of predefined rules and signals. This mechanism assesses text authenticity and outputs a trustworthiness risk analysis for originality verification.

What are the limitations of using predefined rules for AI detection?

Using predefined rules for AI detection means the tool provides a likelihood analysis rather than absolute certainty. It evaluates specific signals in prose samples, which may not capture all evolving AI writing patterns or nuanced human text.