During July 2025, Hamin expanded Eigenlayer data coverage within the duneanalytics/spellbook repository by developing new data models for slashing withdrawal events. Using SQL, YAML, and dbt, Hamin implemented both flattened and enriched models to capture queued and completed slashing withdrawals, integrating this data into the existing analytics pipeline. The strategy shares outflow by day model was updated to incorporate the new withdrawal data, and the schema version was incremented to maintain compatibility across the pipeline. This work enhanced the fidelity of Eigenlayer slashing analytics, enabling more accurate risk assessment and reporting, and demonstrated depth in data modeling and pipeline integration.