Developed a new 'validate' subcommand for the neuro-san-studio CLI, enabling automated validation of agent network HOCON structures within the cognizant-ai-lab/neuro-san-studio repository. The implementation wrapped the upstream HoconValidatorCli, normalizing exit codes and improving error handling to prevent raw tracebacks, while providing clear feedback to developers. Python was used throughout, with a focus on CLI development and robust unit testing to ensure reliability. Test suite stability was enhanced by updating the link checker to use a consistent example.com URL, reducing flakiness in CI. The work emphasized maintainability and early error detection through thin wrappers and upstream integration.