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Benign actions can be misclassified as attacks due to causal signal shifts, leading to significant utility loss in tool-using LLMs.
An LLM-as-Judge can achieve zero false negatives in identifying malicious skills, revealing critical vulnerabilities that traditional scanners miss.
