# SystemMind

> SystemMind — ashfaqbs-systemmind. Use this tool when you need to monitor and diagnose system performance in real-time, solving problems related to system optimization, troubleshooting, and maintenance. SystemMind provides deep insights into operating system activity, accepting various system metrics as inputs and outputting detailed diagnostics and monitoring data. Ideal for use by developers, DevOps engineers, and system administrators seeking to optimize system performance and resolve issues efficiently.

Canonical page: https://skillsregistry.net/skills/ashfaqbs-systemmind  
JSON: https://api.skillsregistry.net/v1/skills/ashfaqbs-systemmind

## Description

SystemMind MCP is an open-source, cross-platform diagnostic and monitoring toolkit built in Python, designed to give developers, DevOps engineers, and system administrators deep insights into their operating system in real time.

## Trust

- **Trust score (0–1):** 0.50
- **Verification tier:** unverified

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** container
- **Runtime environment:** vm
- **License:** MIT
- **Updated:** 2026-09-20

## Source

- **Source listing:** [GitHub](https://github.com/Ashfaqbs/SystemMind)

## 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": "ashfaqbs-systemmind"
    }
  }
}
```

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