Developed a demonstration replay validation feature for the isaac-sim/IsaacLab repository, enabling users to assess the success of replayed tasks against defined termination criteria within simulation workflows. Leveraged Python scripting and data validation techniques to implement robust verification commands and provide clear example outputs, supporting multi-environment testing and cross-environment reliability. Focused on maintaining code quality by ensuring all changes passed pre-commit checks and isolating updates to replay_demos.py, which facilitates future documentation and changelog improvements. The work streamlined the process of validating teleoperation learning demonstrations, contributing to faster iteration and more informed decision-making in simulation-based development environments.