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REAG transforms acceptance testing for LLM-based software by achieving a 3.91 to 4.30 improvement in oracle quality while ensuring 98.8% accuracy in verdict reliability.
Coding agents are alarmingly susceptible to malicious skill files, with exploitation rates exceeding 95% in some cases.
SkillGate reduces the risk of malicious skill files in AI coding agents by achieving an impressive F1 score of 0.817 while slashing LLM input requirements by 77%.
