Security audits are expensive, time-consuming, and often a bottleneck for shipping safe code in blockchain and Web3 projects. This talk introduces a practical, open-source toolchain that transforms raw GitHub security audit issues into a high-quality, structured dataset, ready for fine-tuning Large Language Models (LLMs) to perform automated or on-demand security reviews.