The Golden Rule holds: "Don't unpickle untrusted data." The problem I'm trying to solve is that "Untrusted" has become blurry in the AI age. Data Scientists tre

The Golden Rule holds: "Don't unpickle untrusted data." The problem I'm trying to solve is that "Untrusted" has become blurry in the AI age. Data Scientists treat Model Hubs (like Hugging Face) as trusted repositories, similar to PyPI or NPM. They shouldn't, but they do. This tool effectively serves as a "Loud Warning Label" to break that assumption. It tells the engineer: "Hey, you think this is just weights, but I see socket calls in here. Do not load this."