Cross-Framework Causal Fragility Index // Provides a unified workflow for running, classifying, visualizing, and interpreting sensitivity analyses for unmeasured confounding across multiple causal frameworks. Introduces the Causal Fragility Index (CFI), a single 0-100 composite score that integrates evidence from the partial R-squared robustness value approach (Cinelli and Hazlett, 2020, doi:10.1111/rssb.12348), E-value metrics (VanderWeele and Ding, 2017, doi:10.7326/M16-2607), and the Impact Threshold for a Confounding Variable (Frank, 2000, doi:10.1177/0049124100029002001) into one interpretable measure of robustness. The package also provides template-based plain- language narrative interpretation and publication-ready reporting, with optional integration with the 'confoundvis' package for sensitivity plots.