# surfboard

> surfboard — jreiner16-surfboard. Use this tool when you need to access and interact with web pages, providing Large Language Models (LLMs) with a web browsing capability to retrieve information and solve tasks that require web-based data. It solves problems related to web data retrieval, automation, and testing, accepting URLs and commands as inputs and outputting web page content and data. Ideal for use cases where LLMs need to fetch data from the web, such as research, data mining, or automation tasks.

Canonical page: https://skillsregistry.net/skills/jreiner16-surfboard  
JSON: https://api.skillsregistry.net/v1/skills/jreiner16-surfboard

## Description

The Web Browser for LLMs

## 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
- **Updated:** 2026-09-28

## Source

- **Source listing:** [GitHub](https://github.com/jreiner16/surfboard)

## 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": "jreiner16-surfboard"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/jreiner16-surfboard` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/jreiner16-surfboard/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