Despite their distributed nature, blockchains frequently experience failures that disrupt availability, delay transactions, and, in some cases, cause total network outages. Ensuring fault tolerance is critical for the reliability of blockchain-based applications, yet existing evaluations often overlook real-world failure scenarios. Assessing dependability requires systematic fault injection and measurement techniques to understand how different blockchains handle crashes, network partitions, and Byzantine failures. This tutorial dives into the details of using Stabl, a benchmark suite to evaluate blockchains behavior in the presence of faulty processes, understanding the results, and extending the implementation to support a new fault type, providing attendees with a hands-on approach to blockchain fault tolerance evaluation.