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Why we built Skill Inspector: AI apps are increasingly powered by “skills” – reusable units that define what the AI can do, what tools it can access, and how it behaves. But as teams create and share more skills, a new problem emerges: We don’t really know what those skills are capable of. Developers and security teams keep asking: – “What does this skill really do under the hood?” – “What tools or data can it access?” – “Is it safe to plug into our AI system?” The reality is that most teams are working on trust, not visibility. And this is a dangerous place. What we are solving: 1. Making AI skills transparent – Skill Inspector breaks the black box of AI skills. It analyzes their definitions, instructions and tool usage so you can clearly understand what capabilities they represent. 2. Identifying dangerous or unexpected behavior – From overly broad permissions to vague instructions, Skill Inspector helps surface patterns that could lead to misuse, data leakage, or unintended actions. 3. Bringing Governance to AI Capabilities – As skills become the building blocks for AI systems, they require the same level of scrutiny as code dependencies. Skill Inspector helps teams validate and review skills before they are used in production. What to try today: – Paste or load a skill into the Skill Inspector and explore its analysis – Review how it interprets skill instructions and abilities – Look for flagged risks or unclear behavior in the output We’d love your feedback on how useful this analysis is for understanding skill behavior, what types of risks or insights you want, how you can evaluate progress or leveling. Workflow Try comparing multiple skills to see how they behave differently then go ahead and integrate the Snyk Agent Scan CLI into your CI, hooks, and other security integration points:
Thanks for checking out Skill Inspector. We’re excited to help bring more clarity and control to how AI systems are built 🚀