An AI-driven signal filter that evaluates the epistemic quality, bias, and reliability of web content and text.
Install & Download
1. ClawHub CLI
The fastest way to install a skill directly from the registry.
npx clawhub@latest install vajra
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 vajra 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 Vajra Content Analysis?
Vajra is a specialized content-analysis tool developed by Humanity Labs, designed to serve as a comprehensive signal filter for information on the internet. By utilizing this within the Openclaw Skills framework, developers and AI agents can programmatically assess the integrity of articles, YouTube videos, tweets, and raw text. The skill provides a numeric quality score from 1 to 10, identifies ideological or factual bias, and extracts key takeaways to help users navigate information density with confidence.
This tool is particularly valuable for those building research workflows or automated fact-checking systems. Every analysis performed via these Openclaw Skills generates a structured verdict and a public permalink, making it easy to share verified insights. Whether you are filtering a news feed or auditing a large document, Vajra provides the epistemic clarity needed in a digital-first world.
Vajra Content Analysis Use Cases
- Fact-checking news articles and social media posts for reliability and bias.
- Analyzing YouTube video transcripts to extract key takeaways and signal quality.
- Auditing long-form text documents (up to 50,000 characters) for epistemic depth.
- Creating shared, public records of content analysis for collaborative research.
- Filtering high-volume data streams to surface high-quality information while flagging questionable claims.
How Vajra Content Analysis Works
- The user provides a URL or raw text input to the AI agent.
- The skill sends the data to the Vajra API using the configured authorization credentials.
- Vajra checks if the content has been previously analyzed to leverage server-side caching and save credits.
- The content is processed for quality scores, bias levels, and summary metadata.
- The skill returns a structured JSON response containing the analysis, a TLDR, and a public permalink for the full report.
Vajra Content Analysis Setup
To get started with this skill, you must obtain an API key and configure your environment.
- Sign up for a free or pro account at vajra.to/dashboard.
- Navigate to the Connections tab to retrieve your API key.
- Set the key as an environment variable in your Openclaw Skills configuration:
export VAJRA_API_KEY="your_api_key_here"
Vajra Content Analysis Data Schema & Taxonomy
The skill returns a comprehensive dataset for every analysis request, organized as follows:
| Field | Description |
|---|---|
quality_score |
A 1-10 rating of the content's epistemic quality. |
bias_level |
A qualitative assessment of the bias detected in the content. |
verdict |
A concise reliability assessment. |
tldr |
A one-sentence executive summary. |
key_takeaways |
An array of the most important points extracted from the source. |
warnings |
A list of questionable claims or potential red flags. |
url |
A public permalink (e.g., vajra.to/a/ID) for the hosted report. |
Vajra Content Analysis Advanced Features
- Server-side caching that allows users to access previously analyzed URLs for 0 credits.
- Support for diverse content types including YouTube videos and X/Twitter posts.
- High-capacity processing for raw text blocks up to 50,000 characters.
- Public ID retrieval system that allows fetching existing reports without requiring an API key.
- Markdown-formatted report generation for seamless integration into documentation or messaging apps.
SKILL.md
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