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dan
f16f9bf317
A Claude-Code session scanner piped into domain world-state. A cheap classifier (session-signal) fans per-domain signals into four maintained truths (decisions-log, eng-backlog, use-case-guide, attention-queue) and a coalesced dashboard, so cost scales with surprise: a session moves only the domains it touches; the rest memo-skip. - 7 contracts + reactor.yml (OpenAI gpt-5.4-mini renders, gpt-5.4 compile), inline-flow static fixtures, opt-in real scanner (connectors.cjs.example), README + PIPELINE-DESIGN.md. - Committed replay/ from a captured run (11 rendered, 2 skipped, 0 failed, ~38k fresh tokens) so the reactor eval-harness is reproducible. - eval-harness: additive, env-gated Anthropic judge (JUDGE_PROVIDER=anthropic + JUDGE_MODEL, default claude-opus-4-8) via the CLI's native-Anthropic provider builder. Default OpenRouter behavior unchanged; REACTOR_OFFLINE still forces judges off. Eval result: 2/2 grade A (deterministic + opus judge). Co-authored-by: Claude Opus 4.8 (1M context) <noreply@anthropic.com>