Setup & Installation
Or with the ClawHub CLI, for registry-managed skill folders outside a full OpenClaw workspace:
What This Skill Does
Health Guardian monitors Apple Health data for AI agents caring for humans with chronic conditions. It detects anomalies in vitals by comparing readings against a personalized 14-day baseline rather than generic population ranges, then sends proactive alerts before patterns escalate. All data stays local with no cloud telemetry.
Unlike passive health apps that wait for manual review, it runs on a schedule and alerts based on the individual's own baseline, which matters for people whose normal ranges differ significantly from population averages.
When to use it
- Catching early fever signs in a bedridden patient before symptoms worsen
- Alerting when nightly sleep drops sharply across several consecutive nights
- Detecting heart rate anomalies that may indicate pain or infection
- Inferring missed medications from correlated vital sign deviations
- Monitoring early UTI warning signs through fever and heart rate correlation
Example Workflow
Here's how your AI assistant might use this skill in practice.
User asks: 'Check if there are any health concerns today'
- 1Runs import_health.py to pull latest Apple Health JSON from iCloud sync folder
- 2Loads stored 14-day baselines from baselines.json
- 3Runs analyze.py to compare current readings against personal baselines
- 4Checks for fever, heart rate anomalies, and sleep degradation patterns
- 5Returns alert summary with deviation values and recommended actions
Temperature 100.8°F detected, 2.6°F above 14-day baseline. Sleep averaged 4.7h over the last 3 nights, down 32% from prior week. Recommend monitoring for infection signs and checking hydration.
Requirements
Accounts, API keys, or tools you or your AI assistant may need to set up while using this skill.