During May 2025, Musa Baloyi enhanced the evaluation pipeline for the IBM/unitxt repository by introducing precision and recall metrics to the Schema Linking Task. Using Python and leveraging data analysis and machine learning expertise, Musa engineered these metrics to provide more granular insights into model performance, supporting targeted tuning and benchmarking. The implementation focused on maintainability, featuring clean, well-documented commits and testable components that integrated seamlessly with the existing evaluation framework. No bug fixes were required during this period, as the work was isolated to feature development. This contribution improved the visibility and actionability of schema linking model evaluations.