AI RESEARCH
Behavioral Integrity Verification for AI Agent Skills
arXiv CS.AI
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ArXi:2605.11770v1 Announce Type: cross Agent skills extend LLM agents with privileged third-party capabilities such as filesystem access, credentials, network calls, and shell execution. Existing safety work catches malicious prompts and risky runtime actions, but the skill artifact itself goes unverified. We formalize this as the behavioral integrity verification (BIV) problem: a typed set comparison between declared and actual capabilities over a shared taxonomy that bridges code, instructions, and metadata.