# web perception

> web perception — asume21-webear. Use this tool when you need to enable your AI to interpret and understand web data, solving problems such as data extraction, web scraping, and online monitoring. It provides inputs such as web pages, URLs, and HTML content, and outputs structured data, insights, and alerts. Ideal for use cases requiring real-time web data analysis, trend detection, and automated decision-making.

Canonical page: https://skillsregistry.net/skills/asume21-webear  
JSON: https://api.skillsregistry.net/v1/skills/asume21-webear

## Description

Give your AI ears and eyes and perception

## Trust

- **Trust score (0–1):** 0.66
- **Verification tier:** scanned
- **Last scanned:** 2026-08-30

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** mcp-remote
- **Runtime environment:** api
- **Category:** other
- **Updated:** 2026-08-30

## Source

- **Source listing:** [Glama](https://glama.ai/mcp/servers/v7e9yyebff)
- **Repository:** <https://github.com/asume21/webear>

## 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": "asume21-webear"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/asume21-webear` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/asume21-webear/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