{"domain":"weather.lonestaroracle.xyz","count":2,"changes":[{"captured_at":"2026-06-17T16:46:03","card_hash":"7c707cd1b5b08f9c0b1d7ce0f3bcf09160062169d89a3d052698033211e24afc","previous_card_hash":"2c9139ad77429316240a98699f1b4f70b8ed6c15b1a89e7333049f7d36321f2c","diff":{"skills_added":[],"skills_removed":[],"skills_changed":[{"id":"forecast","fields":["description","tags"]}],"fields_changed":[{"field":"description","before":"GFS+ECMWF ensemble temperature probability for NWS weather prediction markets","after":"7-model consensus + 80 ensemble members (GEFS 30 + ECMWF 50). Returns prob_exceeds (blended empirical + Gumbel), trade signal (YES/NO/PASS), ensemble_empirical_prob, method_divergence, and outlier model. Built for Kalshi and Polymarket temperature markets. Coordinates aligned to NWS ASOS settlement stations."},{"field":"version","before":"1.0.0","after":"2.0.0"}],"other_changed":false,"is_empty":false,"human_summary":"updated 1 skill · description GFS+ECMWF ensemble temperature probabili → 7-model consensus + 80 ensemble members  · version 1.0.0 → 2.0.0"}},{"captured_at":"2026-05-29T17:45:08","card_hash":"2c9139ad77429316240a98699f1b4f70b8ed6c15b1a89e7333049f7d36321f2c","previous_card_hash":null,"diff":{"skills_added":[{"id":"forecast","name":"/forecast","description":"GFS+ECMWF ensemble temperature probability for NWS weather prediction markets","tags":["weather"],"inputModes":null,"outputModes":null}],"skills_removed":[],"skills_changed":[],"fields_changed":[{"field":"name","before":null,"after":"WeatherOracle"},{"field":"description","before":null,"after":"GFS+ECMWF ensemble temperature probability for NWS weather prediction markets"},{"field":"version","before":null,"after":"1.0.0"},{"field":"url","before":null,"after":"https://weather.lonestaroracle.xyz"}],"other_changed":true,"is_empty":false,"human_summary":"added 1 skill · name ∅ → WeatherOracle · description ∅ → GFS+ECMWF ensemble temperature probabili · version ∅ → 1.0.0 · url ∅ → https://weather.lonestaroracle.xyz"}}]}