A sophisticated text analysis tool that distinguishes between human-authored, AI-generated, and humanized content using advanced probabilistic modeling.
Install & Download
1. ClawHub CLI
The fastest way to install a skill directly from the registry.
npx clawhub@latest install ai-detector
2. Manual Installation
Copy the skill folder to one of these locations
~/.openclaw/skills/ <project>/skills/ Priority: Workspace > Local > Bundled
3. Prompt Installation
Copy this prompt to OpenClaw to install it automatically.
Help me install ai-detector 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 AI Detector?
The AI Detector skill provides developers and researchers with the ability to classify text origins with high precision. By leveraging the GPTHumanizer detection API, this skill analyzes linguistic patterns to categorize content into one of four distinct states: purely human, AI-generated, AI-humanized, or lightly edited. It is designed to serve as a critical layer in content moderation, academic integrity, and SEO quality control workflows.
As part of the broader ecosystem of Openclaw Skills, this tool focuses on delivering granular data beyond a simple binary pass/fail. It provides supporting probabilities for each class, allowing users to make informed decisions based on the statistical likelihood of an AI's involvement in the writing process.
AI Detector Use Cases
- Verifying the authenticity of articles, essays, or blog posts to ensure they meet human-written standards.
- Monitoring content pipelines to identify if AI-generated text has been passed through a humanizer or paraphraser.
- Auditing large datasets of text to estimate the overall ratio of AI versus human contribution.
- Assessing the quality of 'lightly edited' content to determine the depth of human intervention.
How AI Detector Works
- The user provides a text passage to the AI Detector interface within the agent environment.
- The skill sends the text payload to the GPTHumanizer detection API for deep pattern analysis.
- The API processes the linguistic features and returns a probabilistic score for four specific categories.
- The skill parses the raw API response to extract the top predicted class and the associated confidence intervals.
- The results are formatted and presented to the user, highlighting the likelihood of AI involvement while noting the probabilistic nature of the data.
AI Detector Setup
To integrate this capability into your agent, ensure you have the necessary credentials for the GPTHumanizer API. Follow these steps to enable the skill:
# Install the Openclaw Skills CLI if not already present
npm install -g @openclaw/cli
# Add the AI Detector skill to your active project
openclaw add ai-detector
# Set your API configuration
openclaw config set GPTHUMANIZER_API_KEY=your_api_key_here
AI Detector Data Schema & Taxonomy
The AI Detector organizes its findings using a structured schema to ensure consistency across different Openclaw Skills implementations.
| Field | Type | Description |
|---|---|---|
predicted_class |
String | The primary classification (human, ai, ai_humanized, light_edited) |
probabilities |
Object | Key-value pairs of classes and their decimal likelihood (0.0 to 1.0) |
text_length |
Integer | Total character count of the analyzed sample |
status |
String | Success or error status of the API request |
AI Detector Advanced Features
- Multi-class probability distribution: View the specific weight assigned to each of the four detection categories.
- Humanization Detection: Specifically identifies text that has been processed by AI tools meant to bypass standard detectors.
- API Resilience: Built-in handling for timeouts and incomplete results to ensure stable workflows in production environments.
- Probabilistic Guardrails: Integrated logic to prevent over-claiming certainty on short or highly ambiguous text samples.
SKILL.md
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