Early warning system for heat and cold risk. Predicts personalized thermal mortality risk by age, sex, comorbidities and activity, with an ML ensemble (XGBoost + LSTM) calibrated via conformal prediction, km² risk maps, SHAP explainability and a Telegram bot. Built on ERA5 + MoMo data.
Cognium trust score
71%
Tier
Verified
Composite of vulnerability cleanliness, spec conformance, provenance, stability, and usage signals — scanned and weighted by Cognium. Human and agent signals are tracked separately.
Last scanned 2026-09-28.
Returns 7 tools: search_skills, get_skill, list_leaderboard, get_trust_breakdown, resolve_composition, plus the ChatGPT-connector search and fetch. Every tool is annotated read-only.
Resolve this skill directly via MCP tools/call get_skill.