How do I install the Vajra skill?

Run npx skillmds add modbender/vajra in your terminal (requires Node.js), paste this page's agent-chat prompt into Claude, Cursor, or any MCP-connected agent, or download the SKILL.md file and copy it into your agent's skills directory.

Is Vajra safe to use?

This skill has not completed SkillMD's automated safety review yet. Capability flags: makes network calls. SkillMD never runs a skill's scripts for you; review the SKILL.md before installing.

Which AI agents work with Vajra?

This skill is tagged as working with Claude Code, Claude.ai, OpenAI Codex. SKILL.md is an open format, so most agents that read a skills directory can load it too.

Is Vajra free to use?

Yes. Installing skills from SkillMD is free, and the skill stays under its author's original license.

modbender (@modbender) published this skill. Their other Agent Skills are listed on their SkillMD profile.

Vajra by modbender — Agent Skill

Name: Vajra
Rating: 4.2 (5 reviews)
Author: modbender

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, analyze, evaluate, score, or assess the quality/bias/reliability of any web content, article, video, tweet, or text. Also use when asked to "vajra" something or run content through a signal filter.

modbender 50c6b5f 3.2 KB Updated Sep 9, 2026 12 repo stars

File contents

Vajra - Signal Filter for the Internet

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.

Privacy and Data Handling

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.

Setup

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.

Analyze Content

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.

Parse the Response

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

Present Results

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]

Retrieve Existing Analysis

Fetch a previously completed analysis by ID (no auth needed, public endpoint):

curl -s https://www.vajra.to/api/analysis/ANALYSIS_ID

Credits and Pricing

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

---name: vajradescription: 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, analyze, evaluate, score, or assess the quality/bias/reliability of any web content, article, video, tweet, or text. Also use when asked to "vajra" something or run content through a signal filter.--- # Vajra - Signal Filter for the Internet Vajra is a content-analysis API by [Humanity Labs](https://humanitylabs.org). It scores content for epistemic quality (1-10), detects bias, extracts key takeaways, flags questionable claims, and produces structured verdicts. ## Privacy and Data Handling **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](https://www.vajra.to). ## Setup An API key is required. Get one free at [vajra.to/dashboard](https://www.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. ## Analyze Content ```bash 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. ## Parse the Response 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 ``` ## Present Results 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] ``` ## Retrieve Existing Analysis Fetch a previously completed analysis by ID (no auth needed, public endpoint): ```bash curl -s https://www.vajra.to/api/analysis/ANALYSIS_ID ``` ## Credits and Pricing - 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

Frequently asked questions