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Install in OpenClaw
/install vajra
Description
Analyze URLs, YouTube videos, tweets, or text for quality, bias, and reliability using the Vajra API (vajra.to). Use when the user asks to fact-check, analyz...
Usage Guidance
This skill appears coherent with its stated purpose, but note these important privacy considerations before installing: any content you submit is transmitted to vajra.to for analysis; analyses are cached and a public permalink is created (so do not submit private, proprietary, or PII-containing material); the public retrieve endpoint means anyone with the analysis ID can view the report; and the free tier limits analyses per month. If you must analyze sensitive content, do not use this service. Otherwise, providing the single VAJRA_API_KEY is expected and proportional.
Capability Analysis
Type: OpenClaw Skill
Name: vajra
Version: 1.1.0
The skill is designed to analyze content via the Vajra API, explicitly stating that user-provided content is sent to `vajra.to`, cached, and results in a public permalink. It transparently warns users not to submit private data. While the `curl` examples could pose a shell injection vulnerability if the AI agent directly executes them with unsanitized user input, this represents a potential flaw in the agent's execution model rather than malicious intent within the skill itself. There is no evidence of data exfiltration beyond the stated purpose, malicious execution, persistence, or deceptive prompt injection against the agent.
Capability Assessment
Purpose & Capability
Name/description (content analysis, bias/reliability scoring) match the runtime instructions and the single required env var (VAJRA_API_KEY). Requiring an API key for an external analysis API is expected.
Instruction Scope
SKILL.md only instructs sending content (URLs/text/video/tweets) to vajra.to and formatting the returned JSON. It explicitly warns about caching and public permalinks and does not instruct the agent to read unrelated files, other env vars, or system configuration.
Install Mechanism
No install spec and no code files — instruction-only skill. This is the lowest-risk install model and consistent with the described curl usage.
Credentials
Only VAJRA_API_KEY is required. That single credential is appropriate for an external API. No unrelated secrets, config paths, or multiple credentials are requested.
Persistence & Privilege
The skill does not request always:true and does not ask to modify other skills or system settings. It requires the API key only for its own use.
How to Use
- Make sure OpenClaw is installed (local or Docker)
- Run the install command in chat:
/install vajra - After installation, invoke the skill by name or use
/vajra - Provide required inputs per the skill's parameter spec and get structured output
Version History
v1.1.0
- Added detailed privacy and data handling information, including caching and public permalink behavior.
- Clarified setup instructions with explicit environment variable requirements.
- Revised and expanded documentation for supported content types and limitations.
- Improved usage instructions for presenting results and fetching prior analyses.
- Added metadata section specifying required environment variables.
v1.0.0
- Initial release of the Vajra skill.
- Analyze URLs, YouTube videos, tweets, or raw text for quality, bias, and reliability using the Vajra API.
- Returns a structured verdict, quality score (1–10), bias assessment, key takeaways, and warnings for the provided content.
- Provides shareable permalinks to full analysis reports.
- Requires API key—supports authentication via environment variable or user input.
- Supports cached results at no credit cost and includes usage information for free and paid plans.
Metadata
Frequently Asked Questions
What is Vajra?
Analyze URLs, YouTube videos, tweets, or text for quality, bias, and reliability using the Vajra API (vajra.to). Use when the user asks to fact-check, analyz... It is an AI Agent Skill for Claude Code / OpenClaw, with 557 downloads so far.
How do I install Vajra?
Run "/install vajra" in the OpenClaw or Claude Code chat to install it in one step — no extra setup required.
Is Vajra free?
Yes, Vajra is completely free (open-source). You can download, install and use it at no cost.
Which platforms does Vajra support?
Vajra is cross-platform and runs anywhere OpenClaw / Claude Code is available (cross-platform).
Who created Vajra?
It is built and maintained by Mig (@minhyeong112); the current version is v1.1.0.
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