Developed and delivered a new recipe for the frustratometer package in the conda-forge/staged-recipes repository, enabling energetic frustration calculations in protein structures using advanced computational models. Focused on ensuring the recipe’s compatibility with continuous integration systems and readiness for packaging within the conda-forge ecosystem, the work emphasized code quality and seamless integration. Leveraging Python, YAML, and bioinformatics expertise, the developer collaborated with the open-source community to expand researchers’ access to energetic frustration analysis. This contribution accelerated the integration of modeling workflows and enhanced the robustness of conda-forge’s staged-recipes, supporting reproducible research in computational biology and structural bioinformatics.