Philipp Schmid Shares Best Practices for Reliable AI Agent Skill Evals
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At the @aiDotEngineer World's Fair, I gave a talk on why vibe-checking agent skills breaks in production and how to build reliable automated evals before your users find the bugs. I talked about: 🎯 Why vague descriptions cause skill failures and how adding negative test cases prevents keyword hijacking on unrelated prompts ✂️ Why skill files over 500 lines degrade model reasoning ⚡ How to validate outcomes using simple, millisecond regex assertions across 10 to 20 production prompts. 🗑️ How to run ablation tests (with vs. without skills) to know when models have caught up and you can retire skills. Check out the full talk and resources below: