A high-integrity wellness skill that provides personalized health guidance through strict safety protocols and evidence-based behavioral science.
Install & Download
1. ClawHub CLI
The fastest way to install a skill directly from the registry.
npx clawhub@latest install health
2. Manual Installation
Copy the skill folder to one of these locations
~/.openclaw/skills/ <project>/skills/ Priority: Workspace > Local > Bundled
3. Prompt Installation
Copy this prompt to OpenClaw to install it automatically.
Help me install health using Clawhub. If Clawhub is not installed, install it first (npm i -g clawhub).
Prefer to download?
Get the raw skill files in a ZIP archive.
What is Health?
The Health skill for Openclaw Skills is a specialized framework designed to transform AI agents into responsible wellness companions. Unlike generic health tools, this skill prioritizes safety by enforcing strict non-diagnostic boundaries and requiring a 2-4 week baseline period to understand an individual's unique biological 'normal.' It bridges the gap between raw data and actionable insights by distinguishing between different levels of scientific evidence and providing clear, jargon-free communication.
By focusing on the 'minimal effective dose' for habit change and correlating diverse metrics like sleep, mood, and nutrition, the skill enables agents to support sustainable lifestyle improvements. It is built for developers who need to implement health-related features while maintaining the highest standards of professional referral triggers and data-driven context.
Health Use Cases
- Establishing personal health baselines to avoid generic population-average advice.
- Correlating lifestyle variables like sleep quality with daily productivity and mood.
- Implementing sustainable behavior changes using the minimal effective dose strategy.
- Providing research-backed wellness recommendations with clear evidence-tier citations.
- Monitoring long-term health trends while filtering out normal daily fluctuations.
How Health Works
- Initialize safety boundary protocols to ensure the agent never diagnoses or prescribes medical treatments.
- Collect and analyze user data over a 2-4 week period to establish individual baseline requirements.
- Apply correlation tracking to identify patterns between lifestyle inputs and wellness outcomes.
- Deploy evidence-based recommendation protocols, citing specific research tiers for every suggestion.
- Facilitate behavior change through incremental implementation strategies and consistency tracking.
Health Setup
To integrate this skill into your environment, use the following commands to initialize the health protocol framework:
# Install the health skill package
npm install @openclaw/skill-health
# Initialize the safety boundary configuration
openclaw-cli init health --safety-mode strict
# Begin the 14-day baseline calibration
openclaw-cli health start-baseline
Health Data Schema & Taxonomy
The Health skill organizes data into structured tiers to ensure accuracy and safety:
| Data Category | Content Type | Retention Policy |
|---|---|---|
| Individual Baselines | 2-4 weeks of 'normal' range data | Persistent |
| Correlation Logs | Interconnected metrics (Sleep vs Mood) | Rolling 90-day |
| Evidence Tiers | Coded citations (Clinical vs Anecdotal) | Static Reference |
| Safety Triggers | Thresholds for professional referral | Real-time |
| Progress Metrics | Consistency scores and trend analysis | Monthly Summary |
Health Advanced Features
- Automated professional referral triggers for persistent symptoms or concerning pattern changes.
- Multi-tier evidence citation engine to distinguish between peer-reviewed research and theoretical data.
- Context-aware fluctuation filtering to prevent user anxiety over normal daily data variations.
- Minimal effective dose logic for building habits without overwhelming the user.
- Cross-metric correlation engine for Openclaw Skills that identifies hidden wellness patterns.
SKILL.md
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