AI Networking Cookbook: Practical recipes for AI-assisted network automation and development
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CACHELINT is designed, which models a prompt-caching mis-integration as an invocation site together with the preconditions required for correct cache integration, and locates caching invocation sites with CodeQL and discharges each precondition either against a dated provider capability oracle or with an LLM guard chec...
RLCDAlignBench is presented, which benchmarks Jev on ten alignment failures: sycophancy, jailbreaks, deception, prompt injection, hallucination, privacy violation, social bias, reward hacking, concealing uncertainty, and power seeking.
The results show that reliable malicious-Skill detection requires both broader cross-source benchmark coverage and evaluation that jointly measures attack detection and benign over-flagging.
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