# Yunleng

> Yunleng — chenlaoshiyf-yunleng. Use this tool when you need to analyze visual data from cameras, detect objects, or recognize gestures in real-time. It captures frames, controls camera parameters, and applies local vision models to recognize patterns and objects. Ideal for applications requiring computer vision, such as surveillance, robotics, or smart home automation.

Canonical page: https://skillsregistry.net/skills/chenlaoshiyf-yunleng  
JSON: https://api.skillsregistry.net/v1/skills/chenlaoshiyf-yunleng

## Description

A camera vision MCP server that lets AI agents capture frames, control camera parameters, recognize gestures, detect objects, and analyze scenes via local vision models.

## Trust

- **Trust score (0–1):** 0.68
- **Verification tier:** scanned
- **Last scanned:** 2026-08-29

## Facts

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

## Source

- **Source listing:** [Glama](https://glama.ai/mcp/servers/u6qby7m7sp)
- **Repository:** <https://github.com/ChenLaoshiYF/yunleng>

## 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": "chenlaoshiyf-yunleng"
    }
  }
}
```

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