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The Abductive REPL skill enables users to perform complex abductive reasoning—the process of inferring the most likely causes or hypotheses from a set of observed effects. By integrating a specialized REPL (Read-Eval-Print Loop), it allows for a 'Hypothesis-Test-Refine' cycle, which is essential for reverse-engineering system states, debugging non-linear simulations, and exploratory data analysis. It supports forward simulation to predict outcomes, roundtrip testing to verify inference accuracy, and topological property verification, making it a powerful tool for scientific modeling and deep system inspection.