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thirdshift scores <pull request> --mine asks for your five Scores, each pass or fail with a reason. It shows the model's Scores only once you've entered all five.
The first 20: the first Scoring run picks 20 past pull requests for you to score, spread across Harnesses and Models, and the Grader scores them too.
Two a week: after that, two pull requests from each week's sample are marked for you.
Calibration: a criterion's model Scores count as calibrated while they match yours on at least 18 of the last 20 pull requests you both scored. Otherwise they show as uncalibrated. A criterion that never calibrates stays marked, and doesn't hold up the others.
thirdshift scores [<pull request>] [--json] shows each criterion's calibration beside its Scores.
Acceptance criteria
--mine hides the model's Scores until all five of yours are entered.
The first Scoring run picks 20 past pull requests spread across Harnesses and Models, and later runs mark two a week.
Calibration follows the 18-of-20 rule for each criterion, and an uncalibrated criterion doesn't change the others.
thirdshift scores --json shows each criterion's calibration.
Activity
JacobStephens2 commentedon Oct 24, 2026
Closed by #1282, merged into issue-978 by a thirdshift Ticket run with Self-merge.