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RAMP uncovers that agentic models can lose up to 80% of their effectiveness in complex, real-world workflows, a stark contrast to their performance in isolated benchmarks.
LLM agent skills are needlessly brittle and insecure: SkCC compiles them into a portable, hardened format that boosts performance by 50% and proactively blocks attacks.