# agent-browser

> Use this tool when you need to automate browser interactions for efficient web testing and form submission. It solves problems such as repetitive manual testing and data entry by simulating user interactions, and accepts inputs like URLs, form data, and test scripts, producing outputs like test results and validation reports. Ideal for use cases like regression testing, data scraping, and automated user experience validation.

Canonical page: https://skillsregistry.net/skills/murphykobe-agent-browser-2  
JSON: https://api.skillsregistry.net/v1/skills/murphykobe-agent-browser-2

## Description

Automates browser interactions for web testing, form.

## Trust

- **Trust score (0–1):** 0.89
- **Verification tier:** scanned
- **Last scanned:** 2026-09-19

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** instructions
- **Runtime environment:** llm
- **Category:** browser-automation
- **Updated:** 2026-09-19

## Source

- **Source listing:** [ClawHub](https://clawskills.sh/skills/murphykobe-agent-browser-2)

## 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": "murphykobe-agent-browser-2"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/murphykobe-agent-browser-2` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/murphykobe-agent-browser-2/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