# webEmbedding

> webEmbedding — keiailab-webembedding. Use this tool when you need to clone, capture, and rebuild websites from URLs, and verify their fidelity, to solve problems related to website archiving, backup, and migration, with inputs of URLs and outputs of cloned websites, utilizing git for version control. It is ideal for use cases where website preservation and reconstruction are crucial. This tool streamlines the process of recreating websites while ensuring accuracy and consistency.

Canonical page: https://skillsregistry.net/skills/keiailab-webembedding  
JSON: https://api.skillsregistry.net/v1/skills/keiailab-webembedding

## Description

Source-first Skill and MCP workflow for URL-based website cloning, capture, rebuild, and fidelity verification.

## Trust

- **Trust score (0–1):** 0.74
- **Verification tier:** verified
- **Last scanned:** 2026-09-28

## Facts

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

## Source

- **Source listing:** [GitHub](https://github.com/KeiaiLab/webEmbedding)

## 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": "keiailab-webembedding"
    }
  }
}
```

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