# QUOREL

> QUOREL — var-raphael-quorel. Use this tool when you need to access versioned and queryable data from any website, or integrate live web data into AI applications. QUOREL solves the problem of extracting and managing dynamic web data by providing a reliable and native interface for AI agents. It takes website data as input and outputs structured, queryable APIs, making it ideal for use cases that require up-to-date and verifiable web information.

Canonical page: https://skillsregistry.net/skills/var-raphael-quorel  
JSON: https://api.skillsregistry.net/v1/skills/var-raphael-quorel

## Description

The source of truth for the live web, versioned, queryable data APIs from any website, with native MCP support for AI agents.

## Trust

- **Trust score (0–1):** 1.00
- **Verification tier:** verified
- **Last scanned:** 2026-09-28

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** container
- **Runtime environment:** vm
- **License:** MIT
- **Updated:** 2026-09-28

## Source

- **Source listing:** [GitHub](https://github.com/var-raphael/QUOREL)

## 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": "var-raphael-quorel"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/var-raphael-quorel` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/var-raphael-quorel/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