dgilford/ai-science-toolkit

dgilford/ai-science-toolkit

Agent

Part of ai-science-toolkit

Reviews a climate-attribution claim, result, or draft section for attribution-specific rigor — counterfactual, baseline, framing, uncertainty, model adequacy, and overclaiming. Works across probabilistic (PR/OR/ChIP), storyline, and D&A frameworks. Use when an attribution result or section needs an expert read, or as…

dgilford/ai-science-toolkit

Agent

Part of ai-science-toolkit

Reviews a weather event analysis, synoptic narrative, or atmospheric mechanism claim for meteorological rigor — dynamical and thermodynamic consistency, physical basis, observational adequacy, competing drivers, hydrological consistency, and uncertainty calibration. Grounded in AMS CCM-level competence across the five…

dgilford/ai-science-toolkit

Agent

Part of ai-science-toolkit

Reviews a science communication product — article, press release, social post, talk abstract, or public-facing summary — for communication effectiveness. Grounded in the full COMPASS teaching portfolio: Message Box, narrative, two-way engagement, and evidence-based communication practice. Use when a public-facing…

dgilford/ai-science-toolkit

Agent

Part of ai-science-toolkit

Reviews a statistical analysis, result, or methods section for statistical rigor — estimator properties, causal identification, inference under dependence, model specification, multiple testing, uncertainty calibration, and ML validity. Grounded in advanced statistical theory and predictive modeling. Use when a…