# vajra

> vajra — minhyeong112-vajra. Use this tool when you need to evaluate the credibility of online content, such as URLs, YouTube videos, tweets, or text, to identify quality, bias, and reliability issues. It analyzes input content and returns assessments of its trustworthiness, helping to mitigate misinformation and disinformation. Ideal for fact-checking, media literacy, and research applications, Vajra provides a simple API interface for integrating content evaluation into various workflows.

Canonical page: https://skillsregistry.net/skills/minhyeong112-vajra  
JSON: https://api.skillsregistry.net/v1/skills/minhyeong112-vajra

## Description

Analyze URLs, YouTube videos, tweets, or text for quality, bias, and reliability using the Vajra API (vajra.to).

## Trust

- **Trust score (0–1):** 0.95
- **Verification tier:** scanned
- **Last scanned:** 2026-09-19

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** instructions
- **Runtime environment:** llm
- **Category:** social-media
- **Updated:** 2026-09-19

## Source

- **Source listing:** [ClawHub](https://clawskills.sh/skills/minhyeong112-vajra)

## Use it

Resolve this record through the SkillsRegistry MCP server (no auth, read-only):

```
claude mcp add --transport http --scope user skillsregistry https://api.skillsregistry.net/mcp
```

```json
{
  "jsonrpc": "2.0",
  "id": 1,
  "method": "tools/call",
  "params": {
    "name": "get_skill",
    "arguments": {
      "slug": "minhyeong112-vajra"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/minhyeong112-vajra` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/minhyeong112-vajra/pull`

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SkillsRegistry indexes agent skills from public registries and GitHub. Skills we have analysed are scanned with Circle-IR and scored on six dimensions; each listing states its scan coverage. More: https://skillsregistry.net/llms.txt