Go suite, full pipeline
15 known drifts across 12 cases, plus 4 decoys that change code without changing the contract.
Targets were committed in writing before the first run: recall ≥ 0.80, precision
≥ 0.85, all critical drifts caught, all decoys clean. All four were met.
What the gate contributes
The agent’s own raw precision was 0.23. Ten of its thirteen claims were
false. The verification gate refuted all ten and
confirmed all three true ones.
Without any AI at all
The deterministic layer needs no account, no key and no network, and finishes in under a second.
Everything it reported was real, in every language, with no false alarms, and it
never raised a complaint about the sample applications we deliberately left
correct.
Reproduce it
make check feeds ground truth to the scorer as
a perfect run and should return precision 1.0, recall 1.0, decoys 4/4. Anything
else means the scorer is broken, not the auditor.
These numbers come from synthetic fixtures with injected drift, which is why
anyone can check them. A real repository has no known list of correct answers,
so auditing one gives you a ranked report instead of a score.