Six weeks ago, Daniel Nissani at Mozilla.ai shared cq (https://news.ycombinator.com/item?id=47491466), Stack Overflow for agents. One of the top concerns in that thread was security and trust around shared knowledge.
So we worked together to build VIBE, a first line of defense for cq.
Before a developer approves any knowledge unit for the shared corpus, VIBE runs a four-domain audit: Vulnerabilities (what and who becomes exposed through this code's existence), Intention versus Impact (the gap between what a system is trying to do versus what it actually does), Bias & Blind Spots (known limitations in the agent's training or assumptions in the code), and Edge Case Handling (stress-testing the system before it meets users).
Knowledge units get flagged as clean, soft concern, or hard finding, & hard findings come with a sanitized rewrite for human review.
How would you use this in your automated pipelines?