Launching SkillCompass: Diagnose and Improve AI Agent Skills Across 6 Dimensions

TL;DR: AI agent skills fail silently with wrong outputs, security gaps, and redundant logic, and the standard fix (rewrite the description, add examples, tweak instructions) usually targets the wrong layer. SkillCompass is an evaluation-driven skill evolution engine: it scores your skills across 6 dimensions, pinpoints the weakest one, fixes it, proves it worked, then moves to the next weakest. One round at a time, each one proven before the next begins. GitHub → Open source, MIT License. If you want the why and how, read on. Most AI agent skills have a quiet problem: they work well enough that you keep using them, but not well enough if you stop fiddling with them. You tweak. You rewrite. You add examples. Sometimes things improve. Often they don't. You're never quite sure which change actually helped. This isn't a skill-writing problem. It's a measurement problem. And it's worse than it sounds — without a diagnosis, every improvement attempt is as likely to make things worse as bette