A sophisticated detection engine for identifying GPT-generated content through model fingerprinting and linguistic pattern analysis.
The fastest way to install a skill directly from the registry.
npx clawhub@latest install gpt-analyzer
Copy the skill folder to one of these locations
~/.openclaw/skills/ <project>/skills/ Priority: Workspace > Local > Bundled
Copy this prompt to OpenClaw to install it automatically.
Help me install gpt-analyzer using Clawhub. If Clawhub is not installed, install it first (npm i -g clawhub).
Get the raw skill files in a ZIP archive.
The GPT Analyzer is a high-precision tool designed for the Openclaw Skills ecosystem to identify and categorize content generated by OpenAI's language models. Unlike generic detectors, it employs specific model fingerprinting to distinguish between GPT-4 and GPT-3.5 by analyzing vocabulary choices, structural markers, and linguistic uniformity.
By incorporating this functionality into your workflow via Openclaw Skills, you can programmatically verify content authenticity, audit datasets for synthetic text, and implement automated moderation. The skill provides a detailed confidence score and a breakdown of indicators, allowing developers to make data-driven decisions regarding text provenance.
To integrate this skill into your environment, ensure you have the Openclaw Skills framework installed and run:
# Install the GPT Analyzer skill
openclaw install gpt-analyzer
Configure the analysis parameters in your project configuration:
{
"detectVersion": true,
"minConfidence": 0.7
}
The skill returns a structured analysis object with the following schema:
| Property | Type | Description |
|---|---|---|
isGPT |
Boolean | True if the total score exceeds the minimum confidence threshold. |
confidence |
Number | A percentage score (0-100) representing the certainty of detection. |
detectedModel |
String | Identifies the specific model (gpt-4, gpt-3.5, or gpt-family). |
scores |
Object | Numerical breakdown of version, structure, and uniformity scores. |
indicators |
Object | Raw data including phrase counts and sentence length variance. |
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