I present WebJudge Green Agent, a vision-based evaluator for generalist web navigation agents based on the Online-Mind2Web benchmark. Unlike traditional DOM-based evaluators that break with UI updates, our system utilizes a neuro-symbolic 3-step pipeline (Key Point Extraction, Visual Filtering, Verdict Generation) powered by GPT-4o Vision to evaluate agent trajectories on live websites. The project features: A fully Dockerized environment compliant with the AgentBeats A2A protocol. A dynamic task generation system with a diverse dataset (Shopping, Travel, Finance). An intelligent judging engine capable of analyzing screenshots to verify task completion strictly and fairly.