# pi-health

> pi-health — josunlp-pi-health. Use this tool when you need to monitor the health and performance of your Raspberry Pi devices, solving problems related to overheating, memory usage, and system crashes. It provides inputs such as temperature, CPU usage, and memory utilization, and outputs alerts and notifications for potential issues. Ideal for use in applications where reliability and uptime are crucial, such as home automation, media centers, and industrial control systems.

Canonical page: https://skillsregistry.net/skills/josunlp-pi-health  
JSON: https://api.skillsregistry.net/v1/skills/josunlp-pi-health

## Description

Raspberry Pi health monitor.

## Trust

- **Trust score (0–1):** 0.65
- **Verification tier:** scanned
- **Last scanned:** 2026-05-20

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** instructions
- **Runtime environment:** llm
- **Category:** iot-hardware
- **Updated:** 2026-09-14

## Source

- **Source listing:** [ClawHub](https://clawskills.sh/skills/josunlp-pi-health)

## 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": "josunlp-pi-health"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/josunlp-pi-health` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/josunlp-pi-health/pull`

---
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