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Pre-load auditing of Agent Skills can achieve >97% accuracy in detecting malicious intent, even against semantics-preserving rewrites, by combining role-aware evidence extraction with semantic verification.
Decoupling fact injection from text generation lets you edit LLMs with greater precision, improving fine-grained question answering without sacrificing overall editing performance.
