fitbit-analyticsFitbit health and fitness data integration. Fetch steps, heart rate, sleep, activity, calories, and trends from Fitbit Web API. Generate automated health reports and alerts. Requires FITBIT_CLIENT_ID, FITBIT_CLIENT_SECRET, FITBIT_ACCESS_TOKEN, FITBIT_REFRESH_TOKEN.
Install via ClawdBot CLI:
clawdbot install kesslerio/fitbit-analyticsGrade Good — based on market validation, documentation quality, package completeness, maintenance status, and authenticity signals.
Sends data to undocumented external endpoint (potential exfiltration)
POST → https://api.fitbit.com/oauth2/tokenCalls external URL not in known-safe list
https://github.com/kesslerio/fitbit-analytics-openclaw-skillAI Analysis
The skill's external API calls (api.fitbit.com) are consistent with its stated purpose of fetching Fitbit data, and the GitHub repository link suggests legitimate open-source integration. However, the rule-based signal flags an undocumented external endpoint for OAuth token refresh, which is a standard part of the Fitbit API flow but lacks explicit documentation in the skill definition, creating a minor transparency gap.
Audited Apr 16, 2026 · audit v1.0
Generated Mar 21, 2026
Individuals track daily fitness metrics like steps, heart rate, and sleep to monitor progress toward health goals. The skill generates automated reports and alerts for inactivity, helping users stay accountable and adjust routines based on data trends.
Companies integrate Fitbit data to promote employee health, offering insights into activity levels and sleep patterns. The skill can generate weekly reports for HR teams to assess program effectiveness and encourage participation through data-driven challenges.
Healthcare providers use the skill to fetch patient data like heart rate and sleep from Fitbit devices for chronic condition management. It supports generating alerts for abnormal readings, enabling timely interventions and reducing in-person visits.
Coaches leverage the skill to access client Fitbit metrics such as steps and Active Zone Minutes for personalized training plans. Automated briefings and trend analysis help tailor advice and track improvements over time efficiently.
Researchers aggregate Fitbit data on activity, sleep, and heart rate from study participants for longitudinal health studies. The skill automates data fetching and reporting, streamlining analysis and ensuring consistent data formats.
Offer a service where users pay a monthly fee to receive personalized health reports and alerts generated from their Fitbit data. Revenue comes from subscriptions, with tiers based on report frequency or advanced analytics features.
License the skill to corporate wellness platforms or healthcare providers, integrating it into their systems for employee or patient monitoring. Revenue is generated through licensing fees or per-user charges for data access and automation.
Develop a mobile app using the skill for basic health tracking, with premium features like detailed trend analysis, automated alerts, and integration with other services. Revenue comes from in-app purchases or upgrades to premium tiers.
💬 Integration Tip
Ensure all four Fitbit environment variables are securely set and refreshed, as OAuth tokens expire; use the provided Python scripts for easy CLI or API integration into existing workflows.
Scored Apr 19, 2026
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