Discover what foods affect how you feel.
Food and symptom tracking with weekly correlation analysis
$ npx seclaw add health-tracker --key YOUR_TOKENWhat this looks like in Telegram
seclaw
Morning check-in! How did you sleep last night? Rate your energy 1-10. What did you have for breakfast?
You
Slept 7 hours, energy 6/10, oatmeal with blueberries and coffee
seclaw
Logged! Pattern detected: Your energy is consistently higher on days you eat oatmeal (avg 6.8) vs toast (avg 4.2). Blueberries correlate with better focus scores. Next check-in at 13:00.
— Health Tracker
Morning check-in: overnight symptoms, breakfast, energy level
Lunch check-in: food intake, symptoms, energy
Evening check-in: dinner, overall day review
Weekly analysis: food-symptom correlations and trends
Check-in (3x daily) --> Log food + symptoms --> Weekly analysis
--> Find correlations
--> Update triggers
--> Report3x daily check-ins
Morning, lunch, and evening via Telegram
Food-symptom correlation
Statistical analysis of what affects you
Trigger detection
Auto-flags foods that co-occur with symptoms 3+ times
Energy tracking
1-10 scale with weekly averages
Weekly reports
Sunday morning analysis with trends
OpenClaw proved the demand — 68K+ GitHub stars. But it ships with zero container isolation: API keys exposed to every MCP container, your home directory mounted to root-privileged processes, port 5678 open with no auth.
Every seclaw template runs in Docker with hard guardrails — no root, no host access, no exposed ports. Security enforced at runtime, not in the system prompt.
Purchase at seclawai.com/templates/health-tracker
Run npx seclaw add health-tracker --key YOUR_TOKEN
Reply to check-in prompts naturally via Telegram
$29 one-time. No subscription. Self-hosted.
npx seclaw add health-tracker --key YOUR_TOKEN