# io.github.Lohithry/divlens

> Use this tool when you need to monitor and diagnose system performance issues in real-time for AI agents, solving problems related to resource utilization and hardware health. It provides 17 tools to track CPU, RAM, disk, network, and hardware health, offering a comprehensive interface for inputting system metrics and outputting diagnostic insights. Ideal for use in resource-intensive AI applications where system performance optimization is crucial.

Canonical page: https://skillsregistry.net/skills/io-github-lohithry-divlens  
JSON: https://api.skillsregistry.net/v1/skills/io-github-lohithry-divlens

## Description

Real-time system diagnostics for AI agents — CPU, RAM, disk, network, hardware health. 17 tools.

## Trust

- **Trust score (0–1):** 0.70
- **Verification tier:** unverified

## Facts

- **Version:** 0.1.0
- **Skill type:** atomic
- **Execution layer:** mcp-remote
- **Runtime environment:** api
- **Category:** iot-hardware
- **Updated:** 2026-05-11

## Source

- **Source listing:** [MCP Registry](https://registry.modelcontextprotocol.io/v0/servers/io.github.Lohithry%2Fdivlens)
- **Repository:** <https://github.com/Lohithry/divlens-mcp>

## 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": "io-github-lohithry-divlens"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/io-github-lohithry-divlens` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/io-github-lohithry-divlens/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