withings-familyFetches health data from the Withings API for multiple family members including weight, body composition (fat, muscle, bone, water), activity, and sleep. Use this skill when the user asks about their or their family's Withings data, weight history, body metrics, daily steps, sleep quality, or any health measurement from Withings devices.
Install via ClawdBot CLI:
clawdbot install odrobnik/withings-familyThis skill allows you to interact with Withings accounts for multiple family members to retrieve comprehensive health metrics from Withings devices (smart scales, sleep analyzers, activity trackers, etc.).
This skill natively supports multiple users with per-user token files:
tokens-alice.json
tokens-bob.json
tokens-charlie.json
Each family member authenticates once via OAuth. Their tokens are stored separately and refreshed automatically. No token copying or switching required ā just pass the user ID as the first argument.
python3 scripts/withings.py alice weight
python3 scripts/withings.py bob sleep
python3 scripts/withings.py charlie activity
Use this skill when the user:
Before using this skill, you need to create a free Withings developer application to get your API credentials.
http://localhost:18081 (required for OAuth)Once your application is created:
WITHINGS_CLIENT_ID environment variableWITHINGS_CLIENT_SECRET environment variableAdd these to your Moltbot environment:
export WITHINGS_CLIENT_ID="your_client_id_here"
export WITHINGS_CLIENT_SECRET="your_client_secret_here"
Or create a .env file in ~/.openclaw/withings-family/.env (legacy: ~/.moltbot/withings-family/.env):
WITHINGS_CLIENT_ID=your_client_id_here
WITHINGS_CLIENT_SECRET=your_client_secret_here
The skill provides two scripts (in scripts/):
scripts/withings_oauth_local.py ā Automatic OAuth with local callback server (recommended)scripts/withings.py ā Main CLI + manual OAuthCredentials location: ~/.openclaw/withings-family/ (legacy: ~/.moltbot/withings-family/)
.env ā Client ID/Secret (optional, can use ENV vars instead)tokens-.json ā OAuth tokens per user (mode 600)Before any data retrieval, check if the user is authenticated. If an error mentions "No token found", guide the user through the initial authentication process for that specific user.
Uses a local callback server to capture the code automatically:
python3 {baseDir}/scripts/withings_oauth_local.py <userId>
Example:
python3 {baseDir}/scripts/withings_oauth_local.py alice
The script will:
tokens-.json Traditional two-step flow (see "Authentication" command below).
All commands follow the format:
python3 {baseDir}/scripts/withings.py <userId> <command> [options]
First-time setup for a user ā generates the OAuth URL:
python3 {baseDir}/scripts/withings.py alice auth
After the user visits the URL and gets the authorization code:
python3 {baseDir}/scripts/withings.py alice auth YOUR_CODE_HERE
Repeat for each family member who needs access.
Retrieve the latest weight measurements:
python3 {baseDir}/scripts/withings.py alice weight
Returns the 5 most recent weight entries in JSON format.
Example output:
[
{ "date": "2026-01-17T08:30:00.000Z", "weight": "75.40 kg" },
{ "date": "2026-01-16T08:15:00.000Z", "weight": "75.65 kg" }
]
Retrieve comprehensive body metrics (fat, muscle, bone, water, BMI):
python3 {baseDir}/scripts/withings.py alice body
Returns the 5 most recent body composition measurements.
Example output:
[
{
"date": "2026-01-17T08:30:00.000Z",
"weight": "75.40 kg",
"fat_percent": "18.5%",
"fat_mass": "13.95 kg",
"muscle_mass": "35.20 kg",
"bone_mass": "3.10 kg",
"hydration": "55.2%"
}
]
Retrieve daily activity data (steps, distance, calories):
python3 {baseDir}/scripts/withings.py alice activity
Optionally specify the number of days (default: 7):
python3 {baseDir}/scripts/withings.py alice activity 30
Example output:
[
{
"date": "2026-01-17",
"steps": 8542,
"distance": "6.23 km",
"calories": 2150,
"active_calories": 450,
"soft_activity": "45 min",
"moderate_activity": "22 min",
"intense_activity": "8 min"
}
]
Retrieve sleep data and quality:
python3 {baseDir}/scripts/withings.py alice sleep
Optionally specify the number of days (default: 7):
python3 {baseDir}/scripts/withings.py alice sleep 14
Example output:
[
{
"date": "2026-01-17",
"start": "23:15",
"end": "07:30",
"duration": "8h 15min",
"deep_sleep": "1h 45min",
"light_sleep": "4h 30min",
"rem_sleep": "1h 30min",
"awake": "30min",
"sleep_score": 82
}
]
Common errors and how to resolve them:
| Error | Cause | Solution |
|-------|-------|----------|
| "No token found" | User not authenticated | Run python3 scripts/withings.py and follow the OAuth flow |
| "Failed to refresh token" | Token expired and refresh failed | Re-authenticate with python3 scripts/withings.py |
| "API Error Status: 401" | Invalid or expired credentials | Check your CLIENT_ID and CLIENT_SECRET, re-authenticate |
| "API Error Status: 503" | Withings API temporarily unavailable | Wait and retry later |
| Empty data | No measurements in the requested period | User needs to sync their Withings device |
tokens-{userId}.json)user.metrics, user.activityGenerated Mar 1, 2026
A family uses Withings devices to track health metrics across members, enabling parents to monitor children's weight trends and activity levels. This skill aggregates data from multiple users into a unified view, supporting proactive health management and early detection of anomalies through automated reports.
A fitness coach integrates Withings data from clients to tailor workout and nutrition plans based on real-time body composition and activity metrics. The skill's multi-user support allows coaches to manage multiple clients efficiently, using historical data to track progress and adjust recommendations dynamically.
A company implements a wellness initiative where employees use Withings devices to log health data, with incentives for meeting activity goals. This skill facilitates data collection from multiple participants, enabling HR to generate anonymized reports on overall workforce health and program effectiveness.
Healthcare providers use Withings data from patients with conditions like obesity or hypertension to monitor weight and sleep patterns remotely. The skill's ability to handle multiple users allows clinics to manage patient cohorts, integrating data into electronic health records for better care coordination.
A smart home system incorporates Withings data from family members to automate health-related actions, such as adjusting lighting based on sleep quality or suggesting meals based on activity levels. This skill enables seamless data flow from multiple users into IoT platforms for enhanced daily living.
Offer a premium service where users pay a monthly fee for advanced insights, trend analysis, and personalized health recommendations derived from their Withings data. Revenue is generated through tiered subscription plans, with features like family dashboards and predictive alerts.
License aggregated, anonymized Withings data to research institutions, insurance companies, or wellness brands for studies or product development. Revenue comes from one-time or ongoing licensing fees, leveraging the skill's multi-user data collection capabilities for large-scale datasets.
Develop a mobile app that uses this skill to provide basic health tracking for free, with premium features like detailed reports, integration with other health apps, or family management tools available via in-app purchases. Revenue is generated from upgrades and microtransactions.
š¬ Integration Tip
Ensure environment variables are securely set and tokens are stored with proper permissions; use the automatic OAuth method for smoother user onboarding.
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