Fitbit Analytics Skill for OpenClaw 🦞

Fitbit health and fitness data integration for OpenClaw. Fetch steps, heart rate, sleep, activity, calories, and trends from Fitbit Web API. Generate automated health reports, correlations, and alerts.

Features

• Activity Tracking: Fetch daily steps, distance, calories, and active minutes.
• Heart Rate: Access continuous heart rate data and resting heart rate trends.
• Sleep Analytics: Analyze sleep stages (Deep, Light, REM, Wake) and efficiency.
• Reports: Generate daily/weekly health reports with trend analysis.
• Automation: Scripts ready for cron jobs (e.g., daily summaries).

Setup

1. Create a Fitbit Developer App

1. Go to dev.fitbit.com/apps and log in.
2. Click "Register an App".
3. Fill in the details:
   • Application Name: Personal Assistant (or your choice)
   • Description: Personal AI analytics.
   • OAuth 2.0 Application Type: Personal
   • Redirect URL: http://localhost:8080/
   • Default Access Type: Read & Write
4. Save and note your Client ID and Client Secret.

2. Configure Credentials

Add keys to your secrets.conf or environment variables:

export FITBIT_CLIENT_ID="YOUR_CLIENT_ID"
export FITBIT_CLIENT_SECRET="YOUR_CLIENT_SECRET"

3. Authorization Flow

1. Construct the URL:

   https://www.fitbit.com/oauth2/authorize?response_type=code&client_id=YOUR_CLIENT_ID&redirect_uri=http%3A%2F%2Flocalhost%3A8080%2F&scope=activity%20heartrate%20location%20nutrition%20profile%20settings%20sleep%20social%20weight&expires_in=604800
   

2. Authorize in browser.
3. Copy the code from the redirect URL (http://localhost:8080/?code=...).
4. Exchange code for tokens:

   curl -X POST https://api.fitbit.com/oauth2/token \
     -u "CLIENT_ID:CLIENT_SECRET" \
     -H "Content-Type: application/x-www-form-urlencoded" \
     -d "grant_type=authorization_code" \
     -d "code=YOUR_CODE" \
     -d "redirect_uri=http://localhost:8080/"
   

5. Save access_token and refresh_token to FITBIT_ACCESS_TOKEN and FITBIT_REFRESH_TOKEN.

Usage

Note: For Python imports, set PYTHONPATH to the scripts/ folder:

export PYTHONPATH="$(pwd)/scripts"

Fetch Daily Stats

# Get steps for today
python scripts/fitbit_api.py steps --days 1

# Get sleep data
python scripts/fitbit_api.py sleep --days 1

Generate Weekly Report

python scripts/fitbit_api.py report --type weekly

Daily Morning Briefing

# Text format (for Telegram)
python scripts/fitbit_briefing.py --format text

# Brief format (3-line summary)
python scripts/fitbit_briefing.py --format brief

# JSON format (for programmatic use)
python scripts/fitbit_briefing.py --format json

Example brief output:

📊 8,543 steps • 2,340 cal
❤️ Resting HR: 58 • 💤 7.2h sleep
🏃 Moderate • ↑ 12% vs avg

Example JSON output:

{
  "date": "2026-01-21",
  "steps_today": 8543,
  "calories_today": 2340,
  "distance_today": 6.8,
  "floors_today": 12,
  "active_minutes": 47,
  "resting_hr": 58,
  "avg_hr": 72,
  "sleep_hours": 7.2,
  "sleep_efficiency": 89,
  "awake_minutes": 12,
  "activity_level": "Moderate",
  "steps_trend": 12,
  "yesterday_azm": {
    "activeZoneMinutes": 61,
    "fatBurnActiveZoneMinutes": 39,
    "cardioActiveZoneMinutes": 22
  }
}

Structure

• scripts/fitbit_api.py: Main API wrapper and CLI tool.
• scripts/fitbit_briefing.py: Morning briefing CLI (text/brief/json output).
• scripts/alerts.py: Threshold-based notifications.
• references/: API and metrics documentation.
• docs/: Privacy Policy and Terms of Service.

License

Apache 2.0