chore(cascade): reconcile cbk learnings from cascade execution - #2
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Backport four calibration improvements surfaced during a downstream cascade run, while preserving kit portability (no project-specific identifiers leak into skill content). - rough-in: framing-invited judgments are a non-collapsible gate even in light mode (when the framing notes "may compress 1+2" or "decision deferred to rough-in", judgment lives at this layer). - rough-in: 8 spec properties are conceptual, not literal headings — literal names and ordering are parser-driven by the project's executor and live in cbk-conventions.md. - /finish: parses ## Assumptions section; plan mode enumerates each [ASSUMPTION:]-tagged item as a "Confirm or correct" line rather than silently resolving (Addy Osmani's "good spec for AI agents" pattern). - pr-review.md: Apply-bias tuning. Adds low-risk small changes (~15 LOC, confined, plausible improvement) to Apply; narrows Surface to genuine design/taste; flips "when uncertain" to Apply for small/low-risk; routes style nits without strong rationale to Reject. Calibrated against feedback that small Surface items cost more to triage than to apply-and-show. Co-Authored-By: Claude Opus 4.7 (1M context) <noreply@anthropic.com>
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