Shun Kondo focused on enhancing the evaluation documentation for the NVIDIA-NeMo/RL repository, specifically targeting the DeepScaler evaluation workflow. He identified and addressed gaps in the example command by clarifying required arguments such as the prompt file and maximum model length, using Markdown to ensure clear and accessible documentation. His work emphasized precise guidance on input parameters, which reduced misconfigurations and streamlined onboarding for new users. By maintaining alignment with repository standards and providing maintainable updates, Shun improved reproducibility and usability for DeepScaler evaluations. The depth of his contribution lay in targeted documentation improvements rather than broad feature or bug work.