The Green Agent utilizes the WebJudge framework—an 'LLM-as-a-judge' system designed to replace unreliable pass/fail metrics. It identifies critical task requirements, filters for relevant screenshots of the agent's progress, and makes a final success judgment based on action history. This system evaluates agents against the Online-Mind2Web benchmark, which consists of 300 tasks across 136 real-world websites. The diversity of the benchmark suggests that our Green Agent can effectively act as a reward model or evaluator for tasks it has never seen before in the area of web browsing tasks.