health-guardian
Proactive health monitoring for AI agents. Apple Health integration, pattern detection, anomaly alerts. Built for agents caring for humans with chronic conditions.
Install via CLI (Recommended)
clawhub install openclaw/skills/skills/ctsolutionsdev/proactive-healthWhat This Skill Does
Health Guardian transforms your AI agent into a proactive clinical observer. Rather than simply logging numbers, this skill integrates directly with Apple Health via the Health Auto Export app, allowing your agent to ingest, store, and analyze over 39 biometric data points. It is engineered specifically for caregivers and individuals with chronic conditions who require real-time health intelligence. By establishing personalized baselines over a 14-day window, the agent detects subtle deviations that might signal an oncoming infection, medication side effects, or sleep pattern deterioration. It replaces reactive health management with an intelligent, continuous surveillance system that alerts you or your caregiver only when actionable insights or concerning anomalies are identified.
Installation
Installation involves three core layers: data synchronization, local configuration, and automation. First, install the "Health Auto Export" app on the human's iPhone, configuring it to sync JSON logs to iCloud Drive on an hourly schedule. Second, install the skill via the command clawhub install openclaw/skills/skills/ctsolutionsdev/proactive-health. Third, customize your config.json file to map the local path to your iCloud Documents folder and set your baseline thresholds. Finally, ensure your system cron job is active, pointing to the import_health.py script to ensure your agent constantly has fresh, localized health data to process.
Use Cases
This skill is ideal for monitoring quadriplegic patients or those with complex chronic illnesses where early detection of fever or heart rate variability is critical to preventing hospitalizations. It is also highly effective for long-term health trend analysis, such as tracking how physical therapy sessions impact mobility metrics or how medication adjustments correlate with sleep quality and heart rate stability over months.
Example Prompts
- "Analyze the last 7 days of heart rate data—are there any patterns of spikes that correlate with my afternoon medication intake?"
- "Generate a weekly health summary for my caregiver, highlighting any deviations in my baseline temperature or sleep duration."
- "Check for any health anomalies today and alert me if my respiratory rate is outside the established normal range."
Tips & Limitations
To get the best results, allow at least 14 days of data collection to establish a robust, individualized baseline. Be aware that the accuracy of the anomaly detection is strictly dependent on the frequency of your Health Auto Export sync. This tool is a monitoring aid, not a diagnostic medical device; always cross-reference agent alerts with medical professional advice.
Metadata
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Find the right skillPaste this into your clawhub.json to enable this plugin.
{
"plugins": {
"official-ctsolutionsdev-proactive-health": {
"enabled": true,
"auto_update": true
}
}
}Tags
Flags: file-write, file-read, data-collection, code-execution
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