# browser-act

> browser-act — browser-act. Use this tool when you need to automate browser interactions for data extraction, testing, or automation tasks. It solves problems such as scraping websites, filling out forms, and clicking buttons, by providing a command-line interface to control browser actions. With inputs like URLs and scripts, and outputs like extracted data and screenshots, browser-act streamlines browser automation for AI agents in various contexts, including web data mining and testing.

Canonical page: https://skillsregistry.net/skills/browser-act  
JSON: https://api.skillsregistry.net/v1/skills/browser-act

## Description

Browser automation CLI for AI agents.

## Trust

- **Trust score (0–1):** 0.30
- **Verification tier:** unverified
- **Last scanned:** 2026-08-26

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** instructions
- **Runtime environment:** llm
- **Category:** browser-automation
- **Updated:** 2026-08-26

## Source

- **Source listing:** [ClawHub](https://clawhub.ai/browseract-cli/browser-act-skills)

## 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": "browser-act"
    }
  }
}
```

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