# crc-lnm-medical-agent

> crc-lnm-medical-agent — jiziyun149-cpu-crc-lnm-medical-agent. Use this tool when you need to verify the integrity of your ModelScope environment, specifically for testing package installation, MCP initialization, and tool discovery without requiring model loading or sensitive medical data. It provides a lightweight solution for ensuring a stable setup, ideal for development and testing phases. This tool is particularly useful for identifying potential issues early on, streamlining the debugging process for medical applications.

Canonical page: https://skillsregistry.net/skills/jiziyun149-cpu-crc-lnm-medical-agent  
JSON: https://api.skillsregistry.net/v1/skills/jiziyun149-cpu-crc-lnm-medical-agent

## Description

A lightweight MCP canary for ModelScope hosted STDIO that verifies package installation, MCP initialization, and tool discovery without loading models or medical data.

## Trust

- **Trust score (0–1):** 0.70
- **Verification tier:** verified
- **Last scanned:** 2026-08-29

## Facts

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

## Source

- **Source listing:** [Glama](https://glama.ai/mcp/servers/amui2mcs7s)
- **Repository:** <https://github.com/jiziyun149-cpu/crc-lnm-medical-agent>

## 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": "jiziyun149-cpu-crc-lnm-medical-agent"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/jiziyun149-cpu-crc-lnm-medical-agent` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/jiziyun149-cpu-crc-lnm-medical-agent/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