# @tokens/dsh-browser-use

> @tokens/dsh-browser-use — tokensapi-tokens-dshbrowseruse-code. Use this tool when you need to automate browser interactions or test web applications, as it provides a comprehensive set of navigation and control features. It solves problems such as automating form filling, capturing screenshots, and reading page structure, while preserving login states and supporting customizable browser policies. With inputs including browser commands and outputs including page structure and screenshots, it is ideal for use cases requiring programmatic browser control.

Canonical page: https://skillsregistry.net/skills/tokensapi-tokens-dshbrowseruse-code  
JSON: https://api.skillsregistry.net/v1/skills/tokensapi-tokens-dshbrowseruse-code

## Description

Enables language models to control a real visible browser with a full set of 24 tools for navigation, clicking, form filling, screenshots, and reading page structure, while preserving login states and supporting configurable browser policies.

## Trust

- **Trust score (0–1):** 0.70
- **Verification tier:** verified
- **Last scanned:** 2026-09-04

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** mcp-remote
- **Runtime environment:** api
- **Category:** browser-automation
- **Updated:** 2026-09-04

## Source

- **Source listing:** [Glama](https://glama.ai/mcp/servers/cc2jkxz5kw)
- **Repository:** <https://github.com/TokensAPI/tokens_DshBrowserUse_code>

## 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": "tokensapi-tokens-dshbrowseruse-code"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/tokensapi-tokens-dshbrowseruse-code` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/tokensapi-tokens-dshbrowseruse-code/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