Garmin Health Report

Generate professional daily health reports from Garmin Connect data with advanced running analysis.

Features:

• Sleep Analysis: Duration, stages (deep/light/REM), scores, and 7-dimension quality ratings
• Heart Rate Monitoring: Resting HR with recovery status
• Activity Tracking: Steps, distance, floors, goal completion
• Professional Running Metrics:
  • Heart Rate Zones (Zone 1-5 distribution)
  • TRIMP (Training Impulse) load calculation
  • Jack Daniels VDOT estimation with training paces
  • Personalized recovery and training advice
• 7-Day Trend Analysis: Activity patterns and consistency tracking
• Personalized Recommendations: Sleep tips, step goals, training insights

Regional Support: Works with both Garmin.com (international) and Garmin.cn (China region) accounts.

Quick Start

1. Install Dependencies

This skill requires Python 3.8 or higher and garth library:

# Install garth (Garmin Connect authentication library)
pip3 install garth

# Verify installation
python3 -c "import garth; print('garth installed successfully')"

2. Authenticate with Garmin Connect

First time setup requires authentication with Garmin Connect:

# Navigate to skill directory
cd ~/.agents/skills/garmin-health-report

# Run authentication script
python3 authenticate.py

Follow prompts to enter your Garmin Connect username and password. Tokens will be securely stored in ~/.garmin-health-report/tokens.json.

For China Region Users (garmin.cn):

Create a config file before authenticating:

mkdir -p ~/.garmin-health-report
cat > ~/.garmin-health-report/config.json \x3C\x3C 'EOF'
{
  "is_cn": true,
  "log_level": "INFO"
}
EOF

Then run python3 authenticate.py.

3. Generate Health Report

Generate a report for today or any specific date:

# Today's report
python3 health_daily_report.py

# Specific date
python3 health_daily_report.py 2025-01-15

# Save to file
python3 health_daily_report.py > ~/health_report_$(date +%Y-%m-%d).txt

4. (Optional) Automate with Cron

To automatically generate daily health reports, add to your crontab:

crontab -e

# Add this line for daily report at 23:00
0 23 * * * /usr/bin/python3 /path/to/health_daily_report.py >> /path/to/health_report.log 2>&1

Usage Examples

# Generate today's report
python3 health_daily_report.py

# Generate report for a specific date
python3 health_daily_report.py 2026-03-01

# Check authentication status
python3 authenticate.py

# Logout and remove saved tokens
python3 authenticate.py
# Then choose 'y' when prompted to logout

Understanding the Metrics

Heart Rate Zones

TRIMP (Training Impulse)

A measure of training load combining duration and intensity:

• \x3C100: Light load - recovery days
• 100-200: Moderate load - daily training
• 200-300: High load - needs recovery
• >300: Very high load - recommend rest

VDOT (VDot O₂max)

Estimate of running aerobic capacity (based on Jack Daniels' Running Formula). Higher VDOT = faster race pace potential.

VDOT is used to calculate optimal training paces:

• E (Easy): Recovery and base building
• M (Marathon): Marathon race pace
• T (Threshold): Tempo/lactate threshold
• I (Interval): Speed intervals
• R (Repetition): Repetitions/sprints

Output Format

The report generates a beautifully formatted text output:

📅 2026-03-01 健康日报
============================================================

😴 睡眠质量
总睡眠：7.7 小时
└─ 深睡：1.4h (18%) | 浅睡：4.5h (58%) | REM：1.9h (24%)

睡眠评分：82 (良好)

💓 心率监测
静息心率：57 bpm 💙

👟 活动量
今日步数：13620 步
步数目标：10000 步
完成度：136.2%
...

💪 运动数据分析（专业版）
... (detailed HR zones, TRIMP, VDOT analysis)

💡 J.A.R.V.I.S.有话说
... (personalized insights)

📈 长期趋势（过去7天）
... (7-day pattern analysis)

============================================================
💪 今天运动量很充足！继续保持！

✨ 明天加油！💪

Configuration

Edit the configuration section at the top of health_daily_report.py:

# Health history file (for 7-day trend analysis)
HISTORY_FILE = os.path.expanduser("~/.garmin_health_report/history.json")

# User profile (optional, for more accurate HR zone calculations)
USER_RESTING_HR = None  # e.g., 53
USER_AGE = None        # e.g., 25

Setting USER_RESTING_HR and USER_AGE improves accuracy of:

• Heart rate zone calculations
• TRIMP (Training Impulse) estimation
• Recovery status assessment

If not set, defaults will be used (Age: 30, Resting HR: 60).

Troubleshooting

Error: garth not installed

ModuleNotFoundError: No module named 'garth'

Solution: Install garth:

pip3 install garth

Error: Not authenticated

Error: Not authenticated.
Run 'python3 authenticate.py' first.

Solution: Run python3 authenticate.py to authenticate with Garmin Connect.

China Region Issues

# Verify config
cat ~/.garmin-health-report/config.json
# Should show: {"is_cn": true, ...}

# Clear tokens and re-authenticate
rm ~/.garmin-health-report/tokens.json
python3 authenticate.py

Privacy & Data

• All data is retrieved from your personal Garmin Connect account
• Tokens are stored locally in ~/.garmin-health-report/tokens.json
• No data is sent to third-party servers beyond Garmin's API
• Health history is stored locally in ~/.garmin_health_report/history.json
• Token files have restricted permissions (600: owner read/write only)

Differences from Original (garmer-based Version)

This version uses garth directly instead of garmer:

✅ Simpler dependency - Only requires garth (a single library) ✅ Same features - All original functionality preserved:

• Sleep analysis
• Heart rate monitoring
• Steps tracking
• Activity analysis
• Professional running metrics (HR Zones, TRIMP, VDOT)
• 7-day trend analysis
• Personalized recommendations

Why the change?

• Removes complex dependency chain (garmer → garth)
• Uses the underlying Garmin Connect library directly
• Easier to install (pip3 install garth vs dealing with garmer's issues)
• Better error handling and debugging

License

MIT License - See LICENSE file for details.

Credits

• Uses garth library for Garmin Connect API access
• Jack Daniels VDOT formulas based on "Daniels' Running Formula"
• TRIMP calculation using Banister's equation