Changes in temperature, precipitation, length of growing seasons, and CO2 concentration have been shown to have a potential impact on agricultural crop yields in the future. Studies suggest that although the projections of climate change are uncertain, it may affect major agricultural producers in terms of crop production quantity and composition, as well as global trade and market value. Central to the analysis of the impact of climate on agriculture are tools that can efficiently process large data sets from various sources and generate reproducible results that can be used within a modeling framework. Osiris is an open-source R package that is currently under development with the aim to process climate impacts on agricultural yields for the Global Change Analysis Model (GCAM). This package is a modular data pipeline that can take climate data at high spatiotemporal resolution (e.g., hourly meteorological variables at 12-km resolution over CONUS) and gridded crop yield data from existing emulators and transforms them into yield impacts for the agricultural commodities traded in GCAM. The development of this package is part of a broader effort to analyze the impacts of climate and socioeconomic change on the coevolution of future water, energy, and land systems across the US using GCAM-USA. We will report on the results available up to November 2022.