Evaluate a model's accuracy on MAX A model that serves cleanly can still answer benchmark questions wrong. This skill measures how accurately a text model behind MAX answers standard datasets — GSM8K, MMLU, HellaSwag, ARC, AIME, GPQA, TruthfulQA, WinoGrande, and BABILong. It checks endpoint compatibility before each run, separates serving failures from wrong answers, and writes reproducible per-task scores you can compare against a model card. Use this skill when you're benchmarking a served model, comparing it with model-card or reference scores, verifying that a newly imported MAX model ans…