Apple Health Analysis

Clinical-grade deep analysis of Apple Health export data. Parses the XML from iPhone's Health app export and produces a comprehensive clinical-quality health assessment report using 20+ peer-reviewed statistical methods including Granger Causality, Transfer Entropy, Convergent Cross Mapping, Sample Entropy, DFA, Cosinor analysis, Kovatchev glucose risk indices, Bayesian change-point detection, and biological age estimation. Use this skill whenever the user mentions Apple Health data, health export, health XML, CGM data, wants to analyze their fitness/sleep/heart rate/glucose/weight trends, or

10 stars 1 forksResearch & Science

Install

skills CLI (Claude Code, Cursor, Codex and more)

npx skills add labrinyang/apple-health-analysis --skill apple-health-analysis

Manual install

git clone --depth 1 https://github.com/labrinyang/apple-health-analysis.git /tmp/apple-health-analysis
mkdir -p ~/.claude/skills
cp -r /tmp/apple-health-analysis/. ~/.claude/skills/apple-health-analysis

Personal skills live in ~/.claude/skills. Use .claude/skills in a project folder to share a skill with your team.

From the SKILL.md

# Apple Health Deep Analysis — Clinical-Grade Report Engine

This skill produces a **comprehensive health assessment report** at the standard of a top-tier academic medical center. It applies 20+ peer-reviewed statistical methods to Apple Health export data, contextualizes every finding against evidence-based clinical reference ranges, grades the confidence of each conclusion, and handles missing or insufficient data transparently.

**Medical Disclaimer**: This analysis is for informational and educational purposes only. It does not constitute medical advice, diagnosis, or treatment. Consult a qualified healthcare provider for medical decisions.

## Workflow

### Step 1: Locate the Export

Find the Apple Health XML file inside `apple_health_export/`. Common names: `导出.xml`, `export.xml`, `Export.xml`.

```bash
find . -path "*/apple_health_export/*.xml" -size +1M | head -5
```

### Step 2: Run Both Analysis Engines

```bash
# Base analysis — comprehensive health metrics
python3 <skill-path>/scripts/analyze_health.py <xml-path> --output json 2>/dev/null > /tmp/health_base.json

# Advanced analysis — 20 peer-reviewed statistical methods
python3 <skill-path>/scripts/advanced_analytics.py <xml-path> 2>/dev/null > /tmp/health_advanced.json
```

Both scripts: streaming XML parsing (handles 1GB+), Python 3.6+ only, no external deps. If >500MB, warn about 2-3 min runtime.

### Step 3: Generate HTML Report Shell

Generate the visual HTML report with charts, gauges, and data tables:

Read the full skill on GitHub

Details

Skill name: apple-health-analysis
Repository: labrinyang/apple-health-analysis
License: MIT
Repo updated: 28 March 2026

FAQ

What does the Apple Health Analysis skill do?

How do I install the Apple Health Analysis skill?

skills CLI (Claude Code, Cursor, Codex and more): npx skills add labrinyang/apple-health-analysis --skill apple-health-analysis. Skills go in ~/.claude/skills (personal) or .claude/skills (project), and Claude loads them automatically when a task matches the description.

Is Apple Health Analysis popular?

It lives in labrinyang/apple-health-analysis, which has 10 GitHub stars and 1 forks.

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