Handoff doctrine: calibration-log cap raises, operational distillation, STALE-tier consumption#58
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- AUTONOMY.md: raise feature/docs caps to safe at Difficulty <= medium, citing the 2026-07-09 calibration review (59 rows, 0 rejected); add the formal graduation/demotion rule; record the review. - intake AGENTS.md: too-large means decompose, never dispatch. - sizing substrate: calibration-status note (heuristics held; cap was the binding clamp). - skills/OPERATIONS.md (new): canonical operational gotchas — gh CLI fallbacks, diff hygiene, config/env traps, JAX measurement traps — distilled from session memory so Codex and fresh sessions inherit them. - review faculty: recurring-defect rubric (organism-specific findings list). - ship_library/ship_workspace references: point at the gh api fallbacks. Co-Authored-By: Claude Fable 5 <noreply@anthropic.com>
Dev-ship leg 4 passes on GREEN or STALE (evidence gaps are organism-scope, not branch-scope; stale reasons listed in the PR body); YELLOW ack semantics unchanged; releases still require GREEN. Companion to PyAutoHeart#43. Co-Authored-By: Claude Fable 5 <noreply@anthropic.com>
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What
Three doctrine moves from the 2026-07-09 pre-handoff review program, encoding Fable-session judgment where Opus/Sonnet/Codex will consume it:
1. Cash in the autonomy calibration log (
AUTONOMY.md)rejected; 26 merged (23 unchanged, 3 amended — all human-directed scope additions). Human ship sign-off added no delta in 23/26 merged supervised runs.feature/docscaps raised tosafeat Difficulty ≤medium(infer_autonomyalready marks large/multi-repo/risky prompts supervised, so the cap was the binding clamp);bugstays supervised (too few rows).rejecteddemotes immediately.2. Operational distillation (
skills/OPERATIONS.md, new + review faculty rubric)pr create, brokenissue close, Projects-classicpr edit), CRLF/binary-leak diff hygiene, env_vars.yaml / PYAUTO_TEST_MODE / autoconf-lowercasing / output.yaml-mirroring config traps, JAX measurement traps (pure_callback const-fold, closure cache-bust). Previously these lived only in one agent's session memory.3. Consume Heart's STALE freshness tier (companion to PyAutoLabs/PyAutoHeart#43)
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