Developed and integrated a new cybersecurity benchmark for the meta-llama/PurpleLlama repository, focusing on Instruct and AutoComplete evaluation to enhance security-related performance insights. Addressed a critical ImportError by extending sys.path, enabling seamless access to higher-level libraries and ensuring the benchmark could execute reliably within the existing framework. Leveraged Python and benchmarking expertise to improve the reliability and integration readiness of the new feature. The work emphasized robust software development practices, with validation through targeted commits and careful attention to framework compatibility. This contribution provided a foundation for more comprehensive security benchmarking and streamlined future enhancements within the project’s ecosystem.