P0.1b: inferOutcome emits 'blocked' when a turn had more error than retry
events (an unrecovered tool failure) — previously the enum value was dead.
P0.1c: 'failure' documented as deferred to the phase-2 agent-judge. It is a
judgment (work wrong AND never corrected), not deterministically recoverable
from a transcript; a wrong-then-corrected turn surfaces as 'rework'.
P1.1: analyze() drops v1 episodes (no schema_version 2) — they lack
environment/prompt_signal/decision_provenance and polluted the factor
matrix. Reports v1SkippedCount.
P2.1: session_turn (bucketed early/mid/late) and parallel_session added to
FACTOR_FNS — closes the schema↔matrix mismatch (both were captured in the
episode but absent from the factor axes).
Co-Authored-By: Claude Opus 4.7 (1M context) <noreply@anthropic.com>
buildFactorMatrix already buckets decision_provenance.kind dynamically
(brain-retro-analyzer.mjs:112) — no production change needed. Test
pins that user_chose_from_options is counted on the provenance axis.
12/12 brain-retro tests GREEN.
Co-Authored-By: Claude Opus 4.7 (1M context) <noreply@anthropic.com>
Pure deterministic Layer-4 aggregation module (spec §6) for the /brain-retro
skill. Exports: dedupeEpisodes, inferOutcome, groupEpisodesToTasks,
findCausalChains, buildFactorMatrix, analyze. Read-only — never writes JSONL.
11/11 tests green. CLI smoke: 10 real episodes → valid JSON with all 5 keys.
Co-Authored-By: Claude Opus 4.7 (1M context) <noreply@anthropic.com>