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Marius CiepluchandClaude Opus 5.5
d1896cb8e7
learn/schema.py is the closed, typed allow-list of candidate features: 66 features over 11 instruments (language one-hot, quick rules with 23 mechanism buckets and a prior count, engine, repo-facts, source span, entry-point distance, roles, delta, verify, agree, model sinks), two profiles (static 57; plane adds verify, agree and model sinks for 66), schema_version and a feature-set digest. No repository, path, file, function, rule or commit identity is a feature; site_match, in_fix_range, fixed-pin alerts, case.json fields and costs are refused. Missing is not zero: each record carries per-instrument state (ran | none | failed | not_applicable), and every feature of an instrument that did not run is null. learn/features.py builds records on the host (build_for_scan, whole repository or base..head delta); plane/tasks/features.py builds them per case in a Run from the delivered artifacts, dropping site_match and in_fix_range on read and ignoring fixed-pin alerts. The generator adds a model-free `features` entry per case before `remember`, which stores the records as `features` rows (re-validated). memory KINDS gains features, label, decision, experiment, arm_outcome and experiment_result. The committed validation-46 manifests are regenerated (entries appended; the first Run's entries are unchanged). The runner image must be rebuilt and re-pinned before a Run executes the new task. Proof on real artifacts (scratch store, not committed): the recorded validation-46 run gives 75 feature records over 15 cases (43 verify candidates plus vulnerable-pin alerts), each case's vulnerable pin exported and read (0.5k-9k files); remember stored 75 features rows beside 43 verdict, 84 alert, 61 unit_cost, 15 facts and 8 coverage rows. Co-Authored-By: Claude Opus 5.5 <[email protected]> Claude-Session: https://claude.ai/code/session_01EmM1j46qgKMh3zqD1QMwEo