# 3d-eyes

> 3d-eyes — murphy977-3d-eyes. Use this tool when you need to visually inspect and diagnose 3D files for defects, enabling coding agents to identify issues like flipped normals or floaters without relying on GPU dependencies. It takes 3D meshes and Gaussian splats as input and outputs a visual representation for analysis. Ideal for use cases where GPU-independent 3D file validation and debugging are required.

Canonical page: https://skillsregistry.net/skills/murphy977-3d-eyes  
JSON: https://api.skillsregistry.net/v1/skills/murphy977-3d-eyes

## Description

Enables coding agents to visually inspect and diagnose 3D files (meshes and Gaussian splats) for defects like flipped normals or floaters, without GPU dependencies.

## Trust

- **Trust score (0–1):** 0.69
- **Verification tier:** scanned
- **Last scanned:** 2026-08-30

## Facts

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

## Source

- **Source listing:** [Glama](https://glama.ai/mcp/servers/zd1l88yyyg)
- **Repository:** <https://github.com/murphy977/3d-eyes>

## 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": "murphy977-3d-eyes"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/murphy977-3d-eyes` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/murphy977-3d-eyes/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