Glassbox Framework

Turns every AI answer into a structured Trust Card with traceable reasoning chains, epistemic confidence scores, and adversarial red team probes. Six tools exposed: verify a complete question-answer pair, extract atomic claims with their reasoning, calculate ECS breakdowns using a published formula, run seven adversarial probes (fabrication, bias injection, context attacks), assemble cards from prebuilt components, and export deterministic SHA-256 audit logs. Lets you pass deployer intents as natural language constitutional rules that get evaluated at runtime. Built as a Node MCP server with a thin Python client wrapper. Reach for this when you need runtime verification with full audit trails instead of opaque scoring, especially if you're shipping AI features where trust and traceability matter more than speed.