Requirements
- Target platform
- OpenClaw
- Install method
- Manual import
- Extraction
- Extract archive
- Prerequisites
- OpenClaw
- Primary doc
- SKILL.md
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...
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...
Hand the extracted package to your coding agent with a concrete install brief instead of figuring it out manually.
I downloaded a skill package from Yavira. Read SKILL.md from the extracted folder and install it by following the included instructions. Tell me what you changed and call out any manual steps you could not complete.
I downloaded an updated skill package from Yavira. Read SKILL.md from the extracted folder, compare it with my current installation, and upgrade it while preserving any custom configuration unless the package docs explicitly say otherwise. Summarize what changed and any follow-up checks I should run.
Vajra is a content-analysis API by Humanity Labs. It scores content for epistemic quality (1-10), detects bias, extracts key takeaways, flags questionable claims, and produces structured verdicts.
Important: This skill sends content to the Vajra API at https://www.vajra.to. Before using it: Content you submit (URLs, text) is transmitted to Vajra's servers for analysis. Analyzed content is cached server-side. If another user submits the same URL, they receive the cached result (0 credits). The original text you submit is not stored -- only the analysis output. Every analysis generates a public permalink (e.g. vajra.to/a/ID). These are shareable and publicly accessible. Do not submit private, proprietary, or personally identifiable content unless you understand and accept this behavior. Vajra's privacy policy and terms are available at vajra.to.
An API key is required. Get one free at vajra.to/dashboard (Connections tab). The key must be stored as the environment variable VAJRA_API_KEY. The agent will be prompted to set this during installation.
curl -s -X POST https://www.vajra.to/api/analyze \ -H "Content-Type: application/json" \ -H "Authorization: Bearer $VAJRA_API_KEY" \ -d '{"content": "URL_OR_TEXT", "type": "url"}' Set type to "text" for raw text (max 50,000 chars). Default is "url". Supported content: articles, YouTube videos, X/Twitter posts, and raw text.
The response JSON contains: success - boolean cached - boolean (0 credits if true) credits_used - 0 or 1 url - permalink to full report (e.g. https://www.vajra.to/a/UUID) analysis.title - content title analysis.quality_score - 1-10 rating analysis.bias_level - bias assessment analysis.markdown - full report in markdown analysis.metadata.tldr - one-sentence summary analysis.metadata.verdict - reliability assessment analysis.metadata.key_takeaways - array of takeaways analysis.metadata.warnings - array of warnings
When showing results to the user, format as: **Title** - Quality: X/10 TLDR: [tldr] Verdict: [verdict] Key takeaways: [list] Warnings: [list if any] Full report: [permalink url]
Fetch a previously completed analysis by ID (no auth needed, public endpoint): curl -s https://www.vajra.to/api/analysis/ANALYSIS_ID
Cached results cost 0 credits (same URL already analyzed by any user) Free tier: 5 analyses/month Pro: 100 analyses/month ($12/mo or $79/yr) Analyses take 10-60 seconds depending on content length
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