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A security layer for AI agents that performs static analysis on agent 'skills' (tools/capabilities) before deployment and provides runtime monitoring and threat intelligence sharing.
stars
35
forks
5
The project addresses a legitimate need for AI agent safety but is currently in an early stage (35 stars, low velocity). The 'skill auditing' concept is a logical extension of standard static analysis applied to LLM tool-calling. Frontier labs and major orchestration platforms (like LangChain or Microsoft AutoGen) are already building native safety and monitoring layers, making it difficult for an independent project to maintain a moat without significant adoption or a unique proprietary dataset of agent-specific vulnerabilities.
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