# oculus-scoped-observation

> oculus-scoped-observation — merchantlee99-oculus-scoped-observation. Use this tool when you need to observe and analyze specific regions of a Chrome browser, as it provides read-only access to user-selected areas, offering region information, text and UI semantics, cropped images, and change detection. This tool solves problems related to automated testing, UI inspection, and content analysis, allowing AI agents to gather insights from targeted browser regions. It accepts user-selected region inputs and outputs detailed observations, making it ideal for use cases requiring precise browser content analysis.

Canonical page: https://skillsregistry.net/skills/merchantlee99-oculus-scoped-observation  
JSON: https://api.skillsregistry.net/v1/skills/merchantlee99-oculus-scoped-observation

## Description

Provides read-only MCP tools for AI agents to observe user-selected regions of a Chrome browser, including region info, text/UI semantics, cropped images, and changes.

## Trust

- **Trust score (0–1):** 0.67
- **Verification tier:** scanned
- **Last scanned:** 2026-08-29

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** mcp-remote
- **Runtime environment:** api
- **Category:** browser-automation
- **Updated:** 2026-08-29

## Source

- **Source listing:** [Glama](https://glama.ai/mcp/servers/ytdq04hykx)
- **Repository:** <https://github.com/Merchantlee99/oculus-scoped-observation>

## 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": "merchantlee99-oculus-scoped-observation"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/merchantlee99-oculus-scoped-observation` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/merchantlee99-oculus-scoped-observation/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