Thanks Salman, that’s exactly the reasoning. A 0.0 that really means “we never checked” is worse than no number, because it looks like proof. Your measured / modeled / aspirational split is a nice way to put it, and I like that it makes the confidence visible right next to the figure.
AgentSec is open source if you’d like to try it: GitHub. If you have agents in your stack at ML Systems, I’d love to hear what it catches and what it misses. And if you find it useful, a star helps more people find it.
Salman Parvez
Self-taught full-stack engineer. Founder of ML Systems, a Rhode Island construction tech company. Shipped a React Native app to both stores
Giving "not measured" its own value all the way to the last consumer is the part I'd copy. A finding rate of null reads as no measurement, where 0.0 reads as perfect. We label figures the same way at ML Systems up in Rhode Island: measured, modeled, or aspirational.