Setup & Installation
openclaw skills install @raghulpasupathi/text-detection
Or with the ClawHub CLI, for registry-managed skill folders outside a full OpenClaw workspace:
npx clawhub install text-detection
What This Skill Does
A set of tools for detecting AI-generated text, particularly content produced by GPT models. It analyzes perplexity, burstiness, sentence patterns, and structural signatures to classify text as AI-written, human-written, or mixed.
Multiple detection methods (perplexity scoring, GPT fingerprinting, ML classification) are bundled in a single configurable stack, removing the need to integrate separate services.
When to use it
- Checking student essays for AI-generated content
- Screening job application cover letters for ChatGPT usage
- Flagging AI-written articles before editorial review
- Filtering AI content in community moderation workflows
- Verifying authenticity of user-submitted reviews or posts
Example Workflow
Here's how your AI assistant might use this skill in practice.
INPUT
User asks: Is this 500-word essay AI-generated?
AGENT
- 1Runs nlp-toolkit to calculate perplexity and burstiness scores
- 2Runs gpt-analyzer to check for GPT-specific phrase patterns and model signatures
- 3Runs pattern-matcher to flag repetitive sentence starts and uniform structure
- 4Aggregates confidence scores from all three tools
- 5Returns a verdict with per-tool scores and detected patterns
OUTPUT
{ isAI: true, confidence: 0.87, signals: ['uniform-length', 'low-burstiness', 'gpt-3.5 signature'] }