jev turns a judgment call into a typed answer with a calibrated probability. It reads a state (text or JSON) and answers named questions of three kinds — (P(yes)), (one of N), (ordinal scale, at most 10 levels). It never generates text. A call costs about $0.00002, so 1,000 decisions run about 2 cents: use it wherever a script or an agent needs a quick, consistent verdict, and keep LLM reasoning for what survives the filter. Setup 1. Run . If the command is missing, the CLI ships with this skill at (Python 3.9+, standard library only). Link it with , or call it by its absolute path. 2. Keys:…