whoop-integration

✓Verified·Scanned 2/18/2026

This skill integrates WHOOP sleep, recovery, and strain data and adapts assistant behavior based on those metrics. It reads WHOOP_CLIENT_ID/WHOOP_CLIENT_SECRET, stores tokens in ~/.openclaw/whoop_tokens.json, calls https://api.prod.whoop.com/developer, and includes commands like python3 scripts/oauth_setup.py.

from clawhub.ai·v431c22a·66.1 KB·0 installs

Scanned from 2.0.0 at 431c22a · Transparency log ↗

$ vett add clawhub.ai/valeraolexienko/whoop-integration

🏃‍♀️ WHOOP Integration Skill

Complete WHOOP fitness tracker integration for OpenClaw agents with adaptive behavior based on sleep quality.

Features

OAuth 2.0 authentication with WHOOP API
Sleep monitoring (performance, efficiency, duration, sleep stages)
Recovery tracking (HRV, resting heart rate, recovery score)
Adaptive behavior - AI assistant adjusts communication style based on sleep quality
Automated morning checks via cron jobs
Memory integration - saves health context for long-term tracking

Quick Setup

Configure WHOOP OAuth credentials:
```
openclaw configure --section skills
```

Run OAuth setup:

cd ~/.openclaw/workspace/skills/whoop-integration
python3 scripts/oauth_setup.py

Test integration:
```
python3 scripts/whoop_client.py
```

Adaptive Behavior Modes

Sleep Performance	Mode	Communication Style
90%+ (Excellent)	`high_energy`	Enthusiastic, proactive
80-89% (Good)	`optimistic`	Positive, engaging
70-79% (Fair)	`steady`	Supportive, measured
<70% (Poor)	`gentle`	Caring, minimal complexity

Requirements

WHOOP device with active subscription
WHOOP Developer Account (developer-dashboard.whoop.com)
Python 3.7+ with requests library

Built with ❤️ for OpenClaw agents by @voltron2