Developed and integrated a Mahalanobis distance indicator for the Ouranosinc/xclim repository, focusing on robust statistical computation and clear end-user documentation. Enhanced the project’s reproducibility and governance by updating metadata, including the AUTHORS list and zenodo records, and ensuring all changes were reflected in the changelog. Addressed stability concerns by refining error handling in the Mahalanobis calculation, specifically catching LinAlgError during matrix inversion to improve runtime reliability. The work leveraged Python and JSON for implementation and documentation, demonstrating strengths in numerical computing, error handling, and metadata management while maintaining release readiness and supporting transparent project attribution and traceability.