Worked on the LLNL/Surfactant repository to enhance automated file-type detection by implementing Perl file type recognition and interpreter mapping. The update expanded support for Perl scripts and modules by adding .pl and .pm extensions to the file-type mapping, enabling more accurate classification of Perl files during code scanning. Integrated Python to update the interpreter mapping, ensuring that files identified as Perl are correctly associated with the 'perl' interpreter for improved runtime resolution. Focused on file type identification and scripting language support, this work improved the accuracy and automation of code scanning and classification workflows within the Surfactant project.