Adversarial Robustness Attacks for Statistical Claims // Attacks fitted R model claims by searching for small plausible perturbations that make a target result disappear. The package focuses on claim-level fragility, smallest-kill reporting, and reproducible caveated robustness checks for ordinary fitted model objects. The methods draw on the fragility-index concept of Walsh et al. (2014) doi:10.1016/j.jclinepi.2013.10.019, multiverse analysis of Steegen et al. (2016) doi:10.1177/1745691616658637, specification-curve analysis of Simonsohn et al. (2020) doi:10.1038/s41562-020-0912-z, and robust covariance estimation of Zeileis (2004) doi:10.18637/jss.v011.i10.