Promptbeat provides a framework for evaluating the security boundaries of LLMs and agent systems by generating adversarial test cases from targets, scenarios, seeds, and dataset subscriptions. It executes attacks against real model or agent targets and evaluates their safety responses. The repository contains documentation, configuration examples, and seed-source subscription templates for dataset-driven evaluation campaigns.