# element-inspector

> Use this tool when you need to analyze and understand the structure and styling of web page elements. It solves problems such as identifying HTML tags, classes, and styles, and provides detailed information as output for further analysis. By using the element-inspector, users can interactively inspect website elements and send relevant data to AI agents for examination.

Canonical page: https://skillsregistry.net/skills/freaktwisted666-element-inspector-mcp  
JSON: https://api.skillsregistry.net/v1/skills/freaktwisted666-element-inspector-mcp

## Description

Enables interactive element inspection on any website, allowing users to click elements and send detailed information (tag, classes, styles, attributes) to Claude for analysis.

## Trust

- **Trust score (0–1):** 0.69
- **Verification tier:** scanned
- **Last scanned:** 2026-08-31

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** mcp-remote
- **Runtime environment:** api
- **Category:** other
- **Updated:** 2026-08-31

## Source

- **Source listing:** [Glama](https://glama.ai/mcp/servers/aibzhofnct)
- **Repository:** <https://github.com/FreakTwisted666/element-inspector-mcp>

## 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": "freaktwisted666-element-inspector-mcp"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/freaktwisted666-element-inspector-mcp` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/freaktwisted666-element-inspector-mcp/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