This document reports on the verification of pointing knowledge and antenna pattern characterization for the Superconducting Submillimeter-wave Limb Emission Sounder (SMILES) instrument. It finds that pointing can be determined accurately from ISS attitude data with corrections. Testing shows the antenna pattern model implemented in retrievals introduces negligible systematic error. Characterization of instrument functions is important for SMILES given its low noise levels, and this work ensures high quality Level 2 data products.