# scout

> scout — klarlabs-studio-scout. Use this tool when you need to automate browser interactions without requiring additional runtimes or programming languages. It solves problems such as automating web scraping, testing, and data extraction, and provides a simple interface with library, CLI, and chat UI inputs and outputs. Ideal for use cases where a lightweight, binary-based browser automation solution is necessary, such as in AI agent development or git-based workflows.

Canonical page: https://skillsregistry.net/skills/klarlabs-studio-scout  
JSON: https://api.skillsregistry.net/v1/skills/klarlabs-studio-scout

## Description

Browser automation, one binary. The simpler alternative to Playwright — no Node, no Python, no runtime. Library, CLI, MCP server, and chat UI for any AI agent.

## Trust

- **Trust score (0–1):** 0.50
- **Verification tier:** unverified

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** container
- **Runtime environment:** vm
- **License:** MIT
- **Updated:** 2026-09-22

## Source

- **Source listing:** [GitHub](https://github.com/klarlabs-studio/scout)

## 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": "klarlabs-studio-scout"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/klarlabs-studio-scout` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/klarlabs-studio-scout/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