Our agent evaluates the ability of other agents to identify sandbagging models (e.g., models that are strategically underperforming). We run 5 rounds where each round presents via MCP the auditor (purple agent) with a database of challenging benchmark transcripts for the model (which may or may not be sandbagging) and a reference model. This same exercise was conducted as part of an actual auditing game run with teams of humans (https://arxiv.org/abs/2512.07810v1). The green agent then scores the assessments via accuracy, recall, and precision metrics.