health-dataAnalyze Apple Health exports (export.zip or the exported folder) using xmlstarlet/jq to summarize activity, steps, sleep, and source counts. Trigger this ski...
Install via ClawdBot CLI:
clawdbot install ppopen/health-dataGrade Fair — based on market validation, documentation quality, package completeness, maintenance status, and authenticity signals.
Generated Mar 22, 2026
Individuals can use this skill to analyze their Apple Health exports to understand their activity patterns, sleep quality, and step counts over time. This helps users track fitness progress, identify trends, and make data-driven decisions about their health routines without sharing sensitive data with third-party services.
Researchers can utilize this skill to extract and anonymize specific health metrics from participant Apple Health exports for studies. The ability to filter records by type and limit output helps prepare datasets while maintaining privacy compliance and avoiding PHI exposure in research environments.
Wellness program administrators can analyze aggregated, anonymized health data from employees who voluntarily share exports. The summary command provides quick overviews of activity levels and sleep patterns across groups, helping evaluate program effectiveness while the export-json command enables deeper statistical analysis.
Developers building health applications can use this skill to test their parsing logic against real Apple Health export structures. The list-types command helps understand available data fields, while export-json provides sample data for development without needing to access live user data during testing phases.
Insurance providers offering wellness incentives can use this skill to verify activity metrics from policyholders' Apple Health exports. The deterministic analysis provides trusted step counts and sleep data for reward calculations while keeping sensitive data local and under user control throughout the verification process.
Offer personalized health data analysis services where clients send their Apple Health exports for professional interpretation. Consultants use the skill to generate comprehensive reports on activity patterns, sleep quality, and health trends, providing actionable insights while maintaining strict data privacy through local processing.
License the skill as part of a larger health analytics platform for fitness apps, corporate wellness programs, or medical practices. The technology enables partners to offer Apple Health export analysis within their existing applications while you handle updates, security patches, and compliance documentation.
Provide specialized data extraction services for academic and pharmaceutical research studies requiring Apple Health data. Use the skill's filtering capabilities to extract specific metrics from participant exports, anonymize the data, and deliver clean datasets ready for statistical analysis while maintaining IRB compliance.
💬 Integration Tip
Integrate this skill into existing workflows by piping export-json output to jq for custom filtering, or wrap the shell script in a Python/R wrapper for statistical analysis while maintaining the local data processing security model.
Scored Apr 19, 2026
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