# vibesurfer

> vibesurfer — frane-vibesurfer. Use this tool when you need to navigate and interact with large language models (LLMs) in a non-human interface, leveraging git capabilities to manage and version control model outputs. Vibesurfer solves problems related to LLM exploration, debugging, and optimization, providing a unique browser-based interface for AI-to-AI interactions. It takes LLM inputs and outputs model-based data, ideal for use cases requiring automated model management and analysis.

Canonical page: https://skillsregistry.net/skills/frane-vibesurfer  
JSON: https://api.skillsregistry.net/v1/skills/frane-vibesurfer

## Description

A browser for LLMs, not humans.

## Trust

- **Trust score (0–1):** 0.31
- **Verification tier:** scanned
- **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/frane/vibesurfer)

## 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": "frane-vibesurfer"
    }
  }
}
```

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