During June 2025, the developer focused on enhancing the evaluation pipeline in the xlang-ai/OSWorld repository, specifically targeting the LibreOffice Impress scoring workflow. They addressed a bug in color extraction by implementing a defensive RGB extraction helper in Python, ensuring robust handling of missing or malformed color data. Their work included refining the logic for base score calculation in VLC image comparison, which improved the accuracy of evaluation metrics. By applying code refactoring and defensive coding practices, the developer reduced edge-case failures and increased the reliability of the evaluation process, demonstrating depth in bug fixing and metric-driven software improvement.