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Apple Health CSV

通过本地 Python 脚本读取 iOS 应用导出的 Apple Health CSV 文件，可按天查询 30 多种健康指标（心率、步数、睡眠阶段、血氧、体重等），也可生成每日健康摘要或 JSON 结构化输出。全程本地运行，不依赖云服务、API 密钥或第三方数据共享。

lanyasheng
lanyasheng
热度 57.49
最近更新 2026-05-11 17:28:41
分类：生活依赖：代码执行 / 读写文件应用场景：健康 / 数据处理

安装技能

复制下面的话术发给你的 Agent，它会通过 secure-skills 检索并安装该技能。

执行命令安装此 skill： npx secure-skills-cli add apple-health-csv
Metadata
name
apple-health-csv
description
Query Apple Health data exported as CSV files from iOS apps like Simple Health Export or Health Auto Export. Supports 30+ health metrics including heart rate, steps, sleep analysis, blood oxygen, workouts, body measurements, and more. Fully local — no cloud services, no API keys, no third-party data sharing. Use when users ask about their health data, fitness trends, sleep patterns, or want a daily health summary.

Apple Health CSV Skill

Query Apple Health data from CSV exports. Works with any iOS app that exports HealthKit data as CSV (Simple Health Export, Health Auto Export, etc.).

Setup

  1. Export health data from your iPhone using an app like Simple Health Export (free)
  2. Transfer the CSV files to your Mac (via AirDrop, iCloud, or USB)
  3. Place them in the skill data directory:
# Default location (auto-detected)
~/.openclaw/workspace-butler/health-data/

# Or specify a custom path
export HEALTH_DATA_DIR="/path/to/your/csv/files"

Usage

# List available health metrics
python3 scripts/health_query.py list

# Get a comprehensive daily health summary
python3 scripts/health_query.py summary

# Query a specific metric (last 7 days by default)
python3 scripts/health_query.py query HeartRate
python3 scripts/health_query.py query StepCount --days 14
python3 scripts/health_query.py query SleepAnalysis --days 7
python3 scripts/health_query.py query OxygenSaturation --days 30

# JSON output for programmatic use
python3 scripts/health_query.py query HeartRate --days 7 --json
python3 scripts/health_query.py summary --json

Supported Metrics

Category Metrics
Heart HeartRate, RestingHeartRate, WalkingHeartRateAverage, HeartRateVariabilitySDNN
Activity StepCount, ActiveEnergyBurned, BasalEnergyBurned, AppleExerciseTime, AppleStandTime, FlightsClimbed
Distance DistanceWalkingRunning, DistanceCycling, DistanceSwimming
Vitals OxygenSaturation, RespiratoryRate, BodyTemperature
Sleep SleepAnalysis (with stage breakdown: REM/Core/Deep/Awake)
Body BodyMass, BodyFatPercentage, BodyMassIndex, Height, LeanBodyMass
Walking WalkingSpeed, WalkingStepLength, WalkingAsymmetryPercentage, WalkingDoubleSupportPercentage
Audio EnvironmentalAudioExposure, HeadphoneAudioExposure
Performance VO2Max, SixMinuteWalkTestDistance, AppleWalkingSteadiness
Other DietaryWater, AppleSleepingWristTemperature

Tips for Agents

  1. Start with summary to get a quick overview of today's health
  2. Use --json flag when you need structured data for analysis
  3. Sleep data is grouped by night (cross-midnight sessions handled correctly)
  4. Blood oxygen values are auto-converted from 0-1 decimal to percentage
  5. Cumulative metrics (steps, calories, exercise time) show daily totals
  6. Rate metrics (heart rate, SpO2) show daily averages with min/max range