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gevety

Access your Gevety health data - biomarkers, healthspan scores, biological age, supplements, activities, daily actions, 90-day health protocol, and upcoming tests

Why use this skill?

Integrate Gevety with OpenClaw to analyze your health biomarkers, biological age, and healthspan data directly. Manage your longevity protocol with ease.

skill-install — Terminal

Install via CLI (Recommended)

clawhub install openclaw/skills/skills/moclippa/gevety
Or

What This Skill Does

The Gevety skill acts as a comprehensive health data bridge for OpenClaw, enabling your AI agent to securely access, analyze, and interpret your personal health metrics. By integrating directly with the Gevety REST API, the skill provides a centralized interface to query your biological age, healthspan scores, specific biomarker trends, and daily wellness actions. It effectively bridges the gap between raw lab data, wearable device statistics, and actionable health protocols, allowing you to have meaningful conversations about your longevity based on objective scientific data.

Installation

To begin using the Gevety skill, follow these steps:

  1. Ensure you have an active account at gevety.com.
  2. Upload your latest blood test results to the Gevety portal to populate your biomarker data.
  3. Navigate to the Developer API tab within your Gevety settings to generate your unique gvt_ token.
  4. Install the skill via terminal: clawhub install openclaw/skills/skills/moclippa/gevety.
  5. Append your API token to your configuration file located at ~/.clawdbot/clawdbot.json under the entries section.
  6. Restart the Clawdbot service to initialize the connection.

Use Cases

This skill is designed for users actively tracking their healthspan and longevity. Key use cases include:

  • Biomarker Monitoring: Track your LDL cholesterol, hs-CRP, or insulin levels over time to observe the impact of lifestyle changes.
  • Health Strategy: Ask the agent to summarize your 90-day health protocol or identify missing labs that could provide a more complete health picture.
  • Biological Age Correlation: Connect wearable activity data with blood markers to see how daily movement influences your biological age score.
  • Data Review: Quickly parse long lab reports to extract specific metrics without manual searching through PDF files.

Example Prompts

  1. "Check my latest hs-CRP and insulin levels and tell me if they are within the optimal range for longevity."
  2. "What does my current 90-day health protocol look like, and have I been hitting my activity goals this week?"
  3. "List all the biomarkers I have on file and let me know which ones I need to re-test based on my latest data coverage report."

Tips & Limitations

  • Specificity Matters: When querying markers like glucose or CRP, refer to the naming guide. The API distinguishes between 'Fasting' and generic variants; using the correct term ensures accurate data retrieval.
  • Privacy: Always ensure your gvt_ token is kept secure and never hard-coded in public repositories or shared environments.
  • Data Coverage: The skill provides a coverage percentage. If your coverage is low, consider uploading more comprehensive lab panels to improve the AI's diagnostic and advisory capabilities.

Metadata

Author@moclippa
Stars1401
Views1
Updated2026-02-24
View Author Profile
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Add to Configuration

Paste this into your clawhub.json to enable this plugin.

{
  "plugins": {
    "official-moclippa-gevety": {
      "enabled": true,
      "auto_update": true
    }
  }
}

Tags(AI)

#health#biometrics#longevity#wellness#fitness
Safety Score: 4/5

Flags: external-api, file-read