GPT Analyzer for Openclaw

A sophisticated detection engine for identifying GPT-generated content through model fingerprinting and linguistic pattern analysis.

raghulpasupathi
v1.0.0
Feb 21, 2026
0
1.7k
0

Install & Download

1. ClawHub CLI

The fastest way to install a skill directly from the registry.

npx clawhub@latest install gpt-analyzer

2. Manual Installation

Copy the skill folder to one of these locations

Global
~/.openclaw/skills/
Workspace
<project>/skills/

Priority: Workspace > Local > Bundled

3. Prompt Installation

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).

Prefer to download?

Get the raw skill files in a ZIP archive.

What is GPT Analyzer?

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.

GPT Analyzer Use Cases

  • Identifying specific GPT model versions in automated content pipelines.
  • Verifying the authenticity of articles, papers, or user submissions.
  • Filtering AI-generated boilerplate or spam in community platforms.
  • Auditing large-scale datasets to distinguish between human and synthetic data.

How GPT Analyzer Works

  1. The input text is normalized and processed to calculate basic metrics like word count and sentence structure.
  2. The engine scans for model-specific linguistic markers and phrases unique to GPT-4 and GPT-3.5.
  3. A structural analysis is performed to detect formatting patterns such as specific list styles frequently used by LLMs.
  4. Sentence uniformity and variance are calculated to identify the consistent cadence typical of AI generation.
  5. All indicators are weighted to produce a final confidence score and a specific model identification result.

GPT Analyzer Setup

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
}

GPT Analyzer Data Schema & Taxonomy

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.

GPT Analyzer Advanced Features

  • Granular version identification for GPT-4 vs GPT-3.5 model families.
  • Customizable confidence thresholds to balance between precision and recall.
  • Structural pattern matching for common AI formatting conventions.
  • Sentence variance analysis to detect robotic linguistic uniformity.
  • Seamless integration with other Openclaw Skills for complex automated moderation workflows.

SKILL.md


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