# halo

> halo — masternazz-halo-windows. Use this tool when you need to visually interact with Windows UI elements or provide visual feedback to AI coding agents. The halo tool solves problems related to UI automation and visualization by capturing screenshots and highlighting specific elements with a red circle overlay. It takes UI element identifiers as input and outputs annotated screenshots, ideal for use cases requiring visual verification or demonstration of AI-driven UI interactions.

Canonical page: https://skillsregistry.net/skills/masternazz-halo-windows  
JSON: https://api.skillsregistry.net/v1/skills/masternazz-halo-windows

## Description

MCP server that lets AI coding agents on Windows take screenshots and highlight UI elements with a red circle overlay.

## Trust

- **Trust score (0–1):** 0.68
- **Verification tier:** scanned
- **Last scanned:** 2026-09-03

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** mcp-remote
- **Runtime environment:** api
- **Category:** other
- **Updated:** 2026-09-03

## Source

- **Source listing:** [Glama](https://glama.ai/mcp/servers/h9fx5q6k4f)
- **Repository:** <https://github.com/masternazz/halo-windows>

## 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": "masternazz-halo-windows"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/masternazz-halo-windows` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/masternazz-halo-windows/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