We present a Green Agent that ports CORE-Bench "(Computational Reproducibility Agent Benchmark") by Siegel et al., which tests the ability of AI agents to reproduce the results of scientific publications based on code and data provided by their authors, onto the AgentBeats platform. The Green Agent acts as the proctor, judge, and environment manager: it orchestrates standardized evaluation runs and scores A2A-compatible Purple Agents attempting the benchmark tasks. Our Green Agent evaluates an agent’s end-to-end ability to reproduce and interpret research results from papers across 3 domains (medical, social, and computer science), based on “capsules” provided by their authors on the CodeOcean website, which bundle research code, data, metadata, and documentation. We also expand and generalize the original CORE-Bench benchmark in two ways: 1. We extend the original CORE-Bench dataset of 45 papers by adding 27 newer CodeOcean papers (9 per domain), selected under the same inclusion criteria, with the caveat that non-GPU requirements were prioritized due to resource constraints and AgentBeats guidelines. 2. We introduce an alternative success metric that rewards partial progress toward the goal in lieu of the original binary pass/fail metric, implemented using an LLM-as-a-judge that grades the purple agent’s progress based on the README instructions provided in the capsule, combined with a deterministic score that detects particular actions like running the scripts requested in the task prompt. We migrated CORE-Bench’s entire three-tier difficulty structure (Easy, Medium, Hard). Our public AgentBeats leaderboard focuses only on the “Hard” level, where instructions on how to reproduce results are deleted so the Purple Agent must identify the correct entry point and execution procedure, run the code successfully, install dependencies, and interpret the resulting outputs to answer the questions. The Green Agent reports an overall accuracy score (binary 0% / 100% per task) captured as “tasks passed” compatible with the original CORE-Bench score. Our new metric that accounts for partial successes is called process score. Lastly, like the original CORE-Bench leaderboard, we also implemented cost tracking and report the cost for each evaluation run.