This artifact supports ASE #414: “Semantic Sleuth: Identifying Ponzi Contracts via Large Language Models” and provides a Docker container that includes all the necessary tools and a pre-configured environment for detecting Ponzi schemes in Ethereum smart contracts by analyzing their source code. The artifact is designed to be user-friendly, with detailed documentation that guides users through downloading, setting up, and running the artifact. It is ideal for users who are familiar with Docker, Python, Solidity, and large language models. The artifact includes sample tests that demonstrate its functionality, allowing users to verify how effectively it identifies Ponzi contracts. Additionally, the artifact is structured to be easily reusable, ensuring that it can be adapted or extended for further research and applications.