Marius CiepluchandClaude Fable 5.1 6f9613329e feat(hunt): candidates scored on folds through the runner; the pilot gain, once per accepted program (6.1) ...

rounds.py runs a candidate over compile or held-out folds through runner.run, so a tool-using
program has its tools bound to each change's checkout, and turns paired records into the
FoldResults accept.decide reads (closes the gap noted in bacd7a1). report.py runs an accepted
program once over the held-out pilot: a ledger line reserved before the run refuses a second run
per program id, contaminated or unchecked training runs are refused, the instrument is proved per
change and more than 5% failures makes the run invalid with no numbers quoted, the pilot's own
scorer and metrics give the after numbers, the recorded hunter numbers give the before, baseline
repeats pair with the single run, the proof arm's workload per 100 pushes is counted, and the gate
distance is read off the confidence curve. 124 hunt and stats tests pass. Implemented by Codex
(gpt-6-astra), gated here.

Co-Authored-By: Claude Fable 5.1 <[email protected]>

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..

design.md

spec(hunter-learning-loop): a pattern engine's miss is never evidence

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requirements.md

spec(hunter-learning-loop): requirements

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research.md

research: Semgrep CE and Opengrep as the quick tier, measured

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spec.json

spec(hunter-learning-loop): implementation plan

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tasks.md

feat(hunt): candidates scored on folds through the runner; the pilot gain, once per accepted program (6.1)

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