# webclaw-skill

> webclaw-skill — 0xmassi-webclaw-skill. Use this tool when you need to automate interactions with web pages or extract data from websites, solving problems such as web scraping, data mining, and automated testing. It takes in URLs, HTML elements, or CSS selectors as inputs and outputs extracted data, screenshots, or interacted web pages. Ideal for use cases where automated web browsing and data extraction are required, such as monitoring website changes or gathering information from public websites.

Canonical page: https://skillsregistry.net/skills/0xmassi-webclaw-skill  
JSON: https://api.skillsregistry.net/v1/skills/0xmassi-webclaw-skill

## Trust

- **Trust score (0–1):** 0.91
- **Verification tier:** scanned
- **Last scanned:** 2026-09-28

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** container
- **Runtime environment:** vm
- **License:** AGPL-3.0
- **Updated:** 2026-09-28

## Source

- **Source listing:** [GitHub](https://github.com/0xMassi/webclaw-skill)

## 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": "0xmassi-webclaw-skill"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/0xmassi-webclaw-skill` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/0xmassi-webclaw-skill/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