# magnetize

> magnetize — angelwzr-magnetize. Use this tool when you need to extract metadata from torrents in a minimalistic way, solving problems like retrieving torrent information without downloading the entire file. It takes torrent files or magnet links as input and outputs relevant metadata, such as file names, sizes, and hashes. Use magnetize in contexts where lightweight and efficient torrent metadata extraction is required, like in git-based projects or automated workflows.

Canonical page: https://skillsregistry.net/skills/angelwzr-magnetize  
JSON: https://api.skillsregistry.net/v1/skills/angelwzr-magnetize

## Description

Minimalistic torrent metadata extractor

## Trust

- **Trust score (0–1):** 0.94
- **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/angelwzr/magnetize)

## 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": "angelwzr-magnetize"
    }
  }
}
```

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