A specialized skill to fetch, summarize, and analyze Ultrahuman health metrics for AI agents.
Install & Download
1. ClawHub CLI
The fastest way to install a skill directly from the registry.
npx clawhub@latest install ultrahuman-openclaw
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 ultrahuman-openclaw 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 Ultrahuman Openclaw Health Integration?
The Ultrahuman Openclaw skill bridges the gap between your health hardware and your AI agent environment. By leveraging the Ultrahuman MCP server and mcporter, this skill allows users to pull detailed health metrics including sleep scores, heart rate variability (HRV), and activity indices directly into their workspace. This integration is a prime example of how Openclaw Skills can be used to personalize AI interactions with real-world biometric data.
Built for developers and biohackers alike, it provides a streamlined way to monitor performance and wellness without leaving the command line or agent interface. Whether you are tracking recovery trends or daily movement goals, this skill ensures your health data is actionable and accessible within your existing workflows.
Ultrahuman Openclaw Health Integration Use Cases
- Generate automated daily health summaries for personal performance tracking.
- Analyze correlations between sleep quality and productivity metrics.
- Monitor heart rate variability (HRV) and resting heart rate (RHR) trends over time.
- Retrieve specific biometric data like VO2 max and movement indices for fitness reporting.
How Ultrahuman Openclaw Health Integration Works
- The user authenticates via the Ultrahuman Developer Portal to obtain a personal auth token and sets required environment variables.
- An Ultrahuman MCP server is deployed locally to act as a bridge between the Ultrahuman API and the agent environment.
- The mcporter configuration defines how the Openclaw Skills environment communicates with the MCP server using stdio transport.
- Python scripts or CLI commands query the MCP server for specific dates or metric ranges.
- Data is processed and returned as a concise, human-readable summary or raw JSON for further analysis.
Ultrahuman Openclaw Health Integration Setup
First, obtain your credentials from the Ultrahuman Developer Portal. Then, build the MCP server using the following commands:
bun install && bun run build
Configure your mcporter.json to point to the built main.js and include your environment variables:
{
"mcpServers": {
"ultrahuman": {
"transport": "stdio",
"command": "node",
"args": ["/absolute/path/to/Ultrahuman-MCP/dist/main.js"],
"env": {
"ULTRAHUMAN_AUTH_TOKEN": "${ULTRAHUMAN_AUTH_TOKEN}",
"ULTRAHUMAN_USER_EMAIL": "${ULTRAHUMAN_USER_EMAIL}"
}
}
}
}
To generate a summary, run the included Python script from your workspace:
python3 skills/local/ultrahuman-openclaw/scripts/ultrahuman_summary.py --yesterday
Ultrahuman Openclaw Health Integration Data Schema & Taxonomy
The skill organizes data around daily health snapshots and specific biometric markers. These Openclaw Skills are designed to map API responses into structured reports.
| Metric Category | Data Points Included |
|---|---|
| Sleep | Score, total sleep, efficiency, restorative sleep, stages (Deep/REM) |
| Activity | Step count, movement index, active minutes |
| Physiology | HRV, RHR, VO2 max, recovery index |
| Metadata | Date, email identifier, partner ID |
Ultrahuman Openclaw Health Integration Advanced Features
- Support for custom date range queries via the Python summary script for longitudinal analysis.
- Raw JSON output capability for integration into external data pipelines and custom dashboards.
- Real-time "Needs Attention" flagging for critical metrics like poor sleep scores or high RHR.
- Flexible transport configuration via mcporter to support various local or remote agent architectures.
SKILL.md
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