evaluation

The 'evaluation' skill serves a critical role in assessing the performance of agent systems, particularly those that operate under conditions of non-determinism and dynamic decision-making. This skill addresses challenges unique to agents, such as the need for continuous evaluation and validation of context engineering choices that affect agent performance. Traditional evaluation methods fall short due to the multifaceted nature of agent outputs, which can include various valid paths to the same objective. By implementing a robust evaluation framework, users can effectively measure agent quality and performance, ensuring that any regressions are caught before deployment and that improvements are tracked over time.