# Little Mouse Pointer

> Little Mouse Pointer — fish121380-auto-mouse. Use this tool when you need to interact with Windows desktop UI elements or capture screen context. It enables AI agents to select and obtain information from windows, elements, or regions via mouse hover, UI Automation, screenshots, and local OCR. Ideal for automating tasks, data extraction, or testing on Windows desktop applications.

Canonical page: https://skillsregistry.net/skills/fish121380-auto-mouse  
JSON: https://api.skillsregistry.net/v1/skills/fish121380-auto-mouse

## Description

Enables AI agents to select Windows desktop UI elements, windows, or screen regions via mouse hover, then obtain context through UI Automation, screenshots, and local OCR for MCP-compatible clients.

## Trust

- **Trust score (0–1):** 0.70
- **Verification tier:** verified
- **Last scanned:** 2026-09-04

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** mcp-remote
- **Runtime environment:** api
- **Category:** ai-ml
- **Updated:** 2026-09-04

## Source

- **Source listing:** [Glama](https://glama.ai/mcp/servers/sslhapm921)
- **Repository:** <https://github.com/Fish121380/auto-mouse>

## 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": "fish121380-auto-mouse"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/fish121380-auto-mouse` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/fish121380-auto-mouse/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