# wellness-air

> wellness-air — davidmosiah-wellness-air. Use this tool when you need to monitor and manage local air quality data from various sources like AirGradient, AirThings, and PurpleAir. It solves problems related to air quality tracking, analysis, and decision-making by providing a unified interface for multiple air quality monitoring devices. The tool accepts device data as input and outputs consolidated air quality metrics, suitable for use in AI-powered applications and data analysis workflows.

Canonical page: https://skillsregistry.net/skills/davidmosiah-wellness-air  
JSON: https://api.skillsregistry.net/v1/skills/davidmosiah-wellness-air

## Description

Local-first air quality MCP for AI agents — AirGradient, AirThings, PurpleAir, IQAir, Awair.

## Trust

- **Trust score (0–1):** 0.63
- **Verification tier:** scanned
- **Last scanned:** 2026-09-01

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** container
- **Runtime environment:** vm
- **Category:** ai-ml
- **Updated:** 2026-09-21

## Source

- **Source listing:** [GitHub](https://github.com/davidmosiah/wellness-air)

## 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": "davidmosiah-wellness-air"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/davidmosiah-wellness-air` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/davidmosiah-wellness-air/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