runopsy-bench 0.1.5

Labelled synthetic traces and localization metrics for Runopsy

runopsy-bench

Labelled traces with known ground truth, and the metrics that score a diagnosis against them.

This package is the difference between claiming the engine localizes failures and knowing it does. Every case declares where the run actually broke, so onset accuracy, top-3 recall and step distance are measured rather than asserted.

Two design choices keep the number honest.

Negative controls are part of the suite. A healthy run that produces no finding is scored alongside the failures. An engine that flags everything would otherwise post a perfect onset accuracy while being useless, and false positives are what actually get a diagnosis tool switched off.

Known blind spots are labelled, not hidden. Some cases — a tool that succeeds while writing the wrong value, an agent that picks a plausible but wrong tool — cannot be found by structural analysis at all, because nothing in the recorded trace is anomalous. They are marked deterministically_detectable = False, excluded from the accuracy figure, and reported separately as the coverage gap that semantic analysis exists to close. Quietly dropping them would inflate the headline number and hide exactly the work that remains.