Use for any question or task about testing a trained tabular or NLP model before it ships, including robustness to small input changes, data leakage and fairness, or a pre-merge check after a feature or hyperparameter change. Runs Giskard scan and its test catalog for performance, robustness, fairness, data leakage and ethical issues, and emits suites that pass or fail in CI.