Outcome metrics
Trial accuracy
Trial accuracy
Passed trials divided by all scheduled trials in the stated denominator.
Publish passed, unresolved, invalid, excluded, and missing counts so the
denominator can be reconstructed.
Task success
Task success
Whether one task attempt met the predeclared grader rubric. A model’s claim
of success is not sufficient unless the rubric explicitly makes it the
outcome.
Unresolved trial
Unresolved trial
A scheduled attempt that did not produce a gradable successful or failed
solution under the protocol. Keep it separate from parse and infrastructure
failures.
Parse error
Parse error
The evaluation pipeline could not interpret the trial output. This often
indicates a contract, serialization, or grader-integration problem rather
than task reasoning quality.
Provider-effect success
Provider-effect success
The expected external effect was independently read back from the provider
or an authoritative receipt and matched the approved target and payload.
Agent output alone does not establish this metric.
Reliability metrics
Performance metrics
Publish cold-start policy, warmup, concurrency, sample size, missing requests,
and whether latency spans retries and queue time.
Resource metrics
Never compare token counts across models without noting tokenizer and prompt
differences. Never project pilot token totals directly into a production bill.
Repository validation metrics
Coverage is useful for finding untested code. It is not a product reliability
score.
Evidence classes
Reporting template
Interpret results
Apply these definitions to the published Terminal-Bench pilot and future
production measurements.