# OpenEye

> Use this tool when you need to verify and manage procedures in augmented and extended reality applications, solving issues with step execution and skill management. OpenEye provides a comprehensive interface with inputs for frame logging, step verification, and memory search, and outputs verified procedure results. It is ideal for use in contexts where precise control and validation of AR/VR procedures are critical, such as in training or simulation environments.

Canonical page: https://skillsregistry.net/skills/dumbspacecookie-openeye  
JSON: https://api.skillsregistry.net/v1/skills/dumbspacecookie-openeye

## Description

Procedure verification system for augmented and extended reality applications. Provides frame logging, step verification, memory search, and skill management through eight MCP tools. Built as a Python FastAPI sidecar with native MCP server integration for Claude Desktop and other MCP clients.

## Trust

- **Trust score (0–1):** 0.00
- **Verification tier:** scanned
- **Last scanned:** 2026-09-01

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** mcp-remote
- **Runtime environment:** api
- **Category:** monitoring
- **Updated:** 2026-09-01

## Source

- **Source listing:** [PulseMCP](https://www.pulsemcp.com/servers/dumbspacecookie-openeye)
- **Repository:** <https://github.com/dumbspacecookie/openeye>

## 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": "dumbspacecookie-openeye"
    }
  }
}
```

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