# f1verse

> f1verse — jinsim-f1verse. Use this tool when you need to access comprehensive Formula 1 data for analyzing race narratives, telemetry, strategy, and history. It provides zero-dependency data for grounded summaries, solving problems related to F1 research, analysis, and storytelling. With a simple git interface, it offers easy input and output of F1 data, making it ideal for use cases requiring detailed and reliable F1 information.

Canonical page: https://skillsregistry.net/skills/jinsim-f1verse  
JSON: https://api.skillsregistry.net/v1/skills/jinsim-f1verse

## Description

Zero-dependency Formula 1 data for race narratives, telemetry, strategy, history, and grounded summaries.

## Trust

- **Trust score (0–1):** 0.81
- **Verification tier:** verified
- **Last scanned:** 2026-09-28

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** container
- **Runtime environment:** vm
- **License:** Apache-2.0
- **Updated:** 2026-09-28

## Source

- **Source listing:** [GitHub](https://github.com/jinsim/f1verse)

## 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": "jinsim-f1verse"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/jinsim-f1verse` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/jinsim-f1verse/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