OpenClaw Apple Health Analyzer: API for XML Data

What This Is

A Clawhub skill has been released that enables OpenClaw to access and analyze Apple Health data. The tool solves the problem of exporting large health data files from an iPhone and making them usable within OpenClaw's context window limitations.

How It Works

The process involves several concrete steps:

Export your Apple Health data from your iPhone to your computer.
Your computer serves this data as an API endpoint.
OpenClaw can then read the data through this API.
The skill parses potentially large XML files (mentioned as up to 1 GB) and extracts only the relevant data for analysis.

Key Features and Output

The skill provides structured health analysis with specific metrics:

Compares daily activity against a 7-day baseline
Provides concrete numbers like steps: 2,444 vs baseline of 10,004.6
Generates actionable suggestions based on the data

Example output from the source shows this format:

Status - On 2026-03-19, activity was well below your recent baseline. The clearest signal is low movement: 2,444 steps versus a 7-day baseline of about 10,005, with no recorded workouts.
What changed - Steps: 2,444 vs 7-day baseline 10,004.6, down about 7,560.6
Suggestions
1. Treat it as a low-activity day and add a few easy movement blocks, like short walks or standing breaks.
2. Don't chase intensity; aim to recover consistency by getting more total daily movement than the day before.
3. Since recovery and sleep data are missing, keep the day simple and notice how energy feels before adding harder exercise.

Customization and Integration

Prompts can be modified to provide more or less detail
Users can chat with the data to examine patterns or trends
Can be added to heartbeat.md for regular health updates

Required Components

Clawhub skill: https://clawhub.ai/krumjahn/apple-health-export-analyzer
Open source Python code for data analysis: https://github.com/krumjahn/applehealth