# super-browser

> super-browser — heldinhow-super-browser. Use this tool when you need to automate browser interactions, such as data scraping, form filling, or website testing, and require a robust framework that combines multiple browser skills. The super-browser framework takes in scripts or commands as input and outputs automated browser actions, solving problems like repetitive browsing tasks and data extraction. It's ideal for use cases where efficiency and reliability are crucial, such as web development, research, or quality assurance.

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

## Description

**The ultimate browser automation framework.** Combines the best of 8 top-rated browser skills.

## Trust

- **Trust score (0–1):** 1.00
- **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:** 2026-09-25

## Source

- **Source listing:** [ClawHub](https://clawskills.sh/skills/heldinhow-super-browser)

## 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": "heldinhow-super-browser"
    }
  }
}
```

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