# vitals

> vitals — mstuart-vitals. Use this tool when you need to detect unusual patterns in health and fitness data from Google Health API v4 devices like Fitbit or Pixel Watch. It archives data locally and identifies baseline deviations, helping you track changes in vital signs and activity levels. Input your Google Health API v4 data and output informative alerts and visualizations to inform your health and wellness decisions.

Canonical page: https://skillsregistry.net/skills/mstuart-vitals  
JSON: https://api.skillsregistry.net/v1/skills/mstuart-vitals

## Description

Local-first archive and baseline-deviation detector for Google Health API v4 (Fitbit, Pixel Watch) data

## Trust

- **Trust score (0–1):** 0.96
- **Verification tier:** verified
- **Last scanned:** 2026-09-28

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** container
- **Runtime environment:** vm
- **License:** MIT
- **Updated:** 2026-09-28

## Source

- **Source listing:** [GitHub](https://github.com/mstuart/vitals)

## 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": "mstuart-vitals"
    }
  }
}
```

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