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This article addresses the critical challenge of securing AI agents by introducing a method that bridges the gap between static analysis and human judgment for detecting vulnerabilities in agent skills. By moving beyond simple automated flagging, SkillSpector aims to provide more nuanced security assessments essential as autonomous systems become more complex.
Detecting Vulnerabilities in Agent Skills with SkillSpector: From Green Checkmark to Real Security Judgment

Static analysis nailed the malicious skill and over-flagged the useful one. The gap between those results is where human judgement actually earns its keep. The post Detecting Vulnerabilities in Agent Skills with SkillSpector: From Green Checkmark to Real Security Judgment appeared first on Towards Data Science.
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