A comprehensive integration for Facticity.AI that enables automated fact-checking, claim extraction from various media, and source reliability analysis.
The fastest way to install a skill directly from the registry.
npx clawhub@latest install facticity-ai
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 facticity-ai using Clawhub. If Clawhub is not installed, install it first (npm i -g clawhub).
Get the raw skill files in a ZIP archive.
This skill integrates the full power of Facticity.AI directly into your agentic workflow. It allows users to verify the truthfulness of specific claims, analyze the bias and quality of news sources, and extract actionable claims from text or social media videos like YouTube, TikTok, and Instagram. By leveraging Openclaw Skills, developers can build more trustworthy AI agents that do not just generate content but also validate it against real-world evidence.
The skill handles both synchronous checks for immediate results and asynchronous tasks for complex, deep-dive investigations. It provides a robust bridge between raw information and verified facts, ensuring that your automation projects maintain high standards of accuracy and source transparency.
First, obtain an API key from the Facticity dashboard.
Set the environment variable:
export FACTICITY_API_KEY=your_api_key_here
Alternatively, add it to your configuration file (~/.openclaw/openclaw.json) to enable this within Openclaw Skills:
{
"skills": {
"entries": {
"facticity-ai": {
"enabled": true,
"apiKey": "your_api_key_here"
}
}
}
}
The skill returns detailed objects based on the operation performed. Below are the key data components:
| Field | Description |
|---|---|
| classification | The truth value: True, False, or Mixed |
| evidence | Array of URLs and snippets supporting or refuting the claim |
| bias_label | Classification of source bias (e.g., Left-Center, Right) |
| quality_label | Human-readable journalistic quality category |
| credits_left | Current balance of API tokens available for the account |
For async tasks, a task_id is provided to track the status until the investigation is complete.
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