During November 2025, Heatwole focused on developing a core static analysis feature for the LLNL/Surfactant repository, implementing ELF dependency extraction directly from program headers. This work involved parsing ELF binary files using Python, leveraging data structures to accurately identify and capture shared library requirements. By enabling automated extraction of dependencies, Heatwole’s contribution addressed the need for more reliable packaging validation and dependency auditing in ELF-based workflows. The implementation laid foundational support for future analysis tools, demonstrating a solid understanding of file parsing and binary formats. The work was targeted, technically sound, and addressed a well-defined problem in software packaging.