PaCo-VLA is a new approach to regulate Vision-Language-Action models in contact-rich environments by decoupling high-level semantic reasoning from low-level motor commands. It introduces a passivity-shielded compliance prior that prevents invalid model predictions from bypassing contact physics, enabling safe deployment of foundation models in these domains.