# lab-ops

> lab-ops — aceike-lab-ops. Use this tool when you need to streamline interactions with training servers, convert SSH operations into AI-callable tools, and simplify tasks such as GPU monitoring, job submission, and file transfer. It takes SSH operations as input and outputs AI-compatible tools, enabling seamless integration with AI workflows. Ideal for use cases requiring automated server management and efficient resource utilization.

Canonical page: https://skillsregistry.net/skills/aceike-lab-ops  
JSON: https://api.skillsregistry.net/v1/skills/aceike-lab-ops

## Description

MCP server that converts SSH operations on training servers into AI-callable tools for GPU monitoring, job submission, file transfer, and more.

## 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:** monitoring
- **Updated:** 2026-08-30

## Source

- **Source listing:** [Glama](https://glama.ai/mcp/servers/amfqow8l08)
- **Repository:** <https://github.com/AceIke/lab-ops>

## 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": "aceike-lab-ops"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/aceike-lab-ops` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/aceike-lab-ops/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