healthsyncQueries Apple Health data stored in a local SQLite database. Use this skill to read heart rate, steps, SpO2, VO2 Max, sleep, workouts, resting heart rate, HR...
Install via ClawdBot CLI:
clawdbot install bro3886/healthsyncGrade Fair — based on market validation, documentation quality, package completeness, maintenance status, and authenticity signals.
Potentially destructive shell commands in tool definitions
curl -fsSL https://healthsync.sidv.dev/install | bashCalls external URL not in known-safe list
https://healthsync.sidv.dev/installAI Analysis
The skill only queries a local SQLite database and explicitly prohibits write operations, posing minimal direct security risk. The primary concern is the installation method using a remote curl-pipe-bash pattern, which is a common but potentially unsafe practice if the remote source is compromised, but this is a one-time setup step, not part of the skill's runtime operation.
Audited Apr 16, 2026 · audit v1.0
Generated Mar 20, 2026
Users can track daily steps, heart rate, and workout data to monitor fitness progress and set goals. The skill enables querying historical trends, such as weekly active energy totals or running metrics, to visualize improvements over time. It supports exporting data to JSON or CSV for integration with personal dashboards or fitness apps.
Coaches or athletes analyze sleep stages, HRV, and resting heart rate to optimize recovery and training schedules. By querying sleep data and HRV trends, they can identify patterns affecting performance and adjust routines accordingly. Direct SQLite queries allow for custom aggregations, like average HRV per week, to support data-driven decisions.
Healthcare professionals use the skill to review patient data like blood pressure, SpO2, and respiratory rate from Apple Health exports. It facilitates generating reports on trends over specific date ranges, aiding in remote monitoring and consultations. The read-only nature ensures data integrity, with CLI queries for quick checks and SQLite for detailed analysis.
Companies integrate health data to assess employee wellness through metrics like steps, exercise time, and mindful sessions. The skill enables aggregating daily totals across teams to measure program effectiveness and encourage healthy habits. Data can be exported in CSV format for further analysis in business intelligence tools.
Researchers collect anonymized health data, such as body metrics, mobility scores, and VO2 Max, for studies on physical activity or aging. The skill allows querying specific tables with date filters to extract relevant datasets efficiently. Direct SQLite access supports complex joins and statistical analyses required for academic publications.
Offer a service where users pay a monthly fee to access advanced analytics and visualizations of their Apple Health data via this skill. Revenue comes from subscriptions, with tiers based on features like custom report generation or integration with other health apps. The skill serves as the backend data querying tool, ensuring secure, read-only access to user databases.
License the skill to fitness or wellness app developers who need to incorporate Apple Health data into their platforms. Revenue is generated through one-time licensing fees or annual contracts, providing developers with a reliable querying solution. This model leverages the skill's CLI and SQLite capabilities to enhance third-party app functionality without data modification risks.
Provide free basic health tracking using the skill, with premium coaching services for personalized insights and recommendations. Revenue comes from upsells to paid coaching plans, where trainers use the skill to analyze client data and create tailored fitness programs. The read-only constraint ensures client data safety, building trust and encouraging upgrades.
💬 Integration Tip
Install the healthsync binary and parse an Apple Health export first; use CLI for simple queries and direct SQLite for complex aggregations to maximize efficiency.
Scored Apr 19, 2026
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