# Heavenly Health Protocol

> Heavenly Health Protocol — obirimensah05-heavenly-health-protocol. Use this tool when you need to securely manage and analyze user-controlled health data, solving problems such as data siloing and insecure access. It provides a bounded set of tools for querying and mutating normalized health data, with inputs including user data from sources like Apple Health and outputs including analyzed health insights. Ideal for use cases requiring secure, sandboxed deployment and optional OAuth authentication.

Canonical page: https://skillsregistry.net/skills/obirimensah05-heavenly-health-protocol  
JSON: https://api.skillsregistry.net/v1/skills/obirimensah05-heavenly-health-protocol

## Description

Enables AI clients to securely access, query, and mutate normalized user-controlled health data (e.g., from Apple Health or Supabase) through a bounded set of MCP tools, with optional OAuth and sandboxed deployment.

## Trust

- **Trust score (0–1):** 0.36
- **Verification tier:** scanned
- **Last scanned:** 2026-08-30

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** mcp-remote
- **Runtime environment:** api
- **Category:** database
- **Updated:** 2026-08-30

## Source

- **Source listing:** [Glama](https://glama.ai/mcp/servers/nz9lp75psh)
- **Repository:** <https://github.com/xbirimensah/heavenly-health-protocol>

## 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": "obirimensah05-heavenly-health-protocol"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/obirimensah05-heavenly-health-protocol` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/obirimensah05-heavenly-health-protocol/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