refactor(plan-ceo-review): carve review body into on-demand section

Carve the largest skill (138,838 B) into a skeleton + one on-demand
section, the documented next Phase B target after /ship (v2_PLAN.md:216).

- sections/review-sections.md(.tmpl): the 11-section deep review, codex/
  outside-voice rules, how-to-ask, Required Outputs, registries, Completion
  Summary, Review Log, REVIEW_DASHBOARD, PLAN_FILE_REVIEW_REPORT, Next Steps,
  docs/designs promotion, Formatting Rules, and the Mode Quick Reference.
- sections/manifest.json: passive registry (CM2), one entry.
- SKILL.md.tmpl: {{SECTION_INDEX}} after the system audit, a single
  {{SECTION:review-sections}} STOP-Read after Step 0 mode selection, and a
  Section self-check. All of Step 0 (the scope/mode conversation) stays in
  the always-loaded skeleton; only EXIT_PLAN_MODE_GATE follows the section.

Measured: always-loaded skeleton 138,838 -> 80,731 B (-42%, ~14.4K tokens
off every invocation). Union (skeleton + section) 139,110 B, behavior held.

Boundary honors Codex P1: nothing review-governing (formatting rules, mode
reference, how-to-ask, required outputs) sits in the skeleton below the
STOP. Housekeeping resolvers ride in the section, matching the ship
precedent (adversarial.md carries LEARNINGS_LOG + GBRAIN_SAVE_RESULTS).

Tests (atomic with the carve — skill-docs.yml gates gen:skill-docs
freshness on every push, so source + regen + tests must land together):
- parity-harness: plan-ceo flipped to sectioned, maxSkeletonBytes 90_000
  (measured 80,731 + headroom); content/minBytes run against the union.
- skill-size-budget: plan-ceo-review added to SECTIONS_EXTRACTED.
- section-manifest-consistency: generalized to discover every carved skill,
  vars computed per-skill-case (Codex P2).
- skill-ceo-section-ordering (new, gate): per-PR static guard — STOP after
  Step 0, review body absent from skeleton, report writer in the section,
  nothing review-governing below the STOP.
- skill-e2e-plan-ceo-review-section-loading (new, periodic): refreshes the
  installed skill first (Codex P1), drives full Step 0, asserts the section
  is Read before the report.
- gen-skill-docs + skill-validation: read the skeleton+sections union for
  carved skills so relocated prose still counts.
- touchfiles: plan-ceo-section-loading registered (periodic).

Co-Authored-By: Claude Opus 4.8 (1M context) <noreply@anthropic.com>

test/skill-size-budget.test.ts

@@ -146,11 +146,14 @@ describe('SKILL.md size budget regression (gate, free)', () => {
    * skill, so this is a comfortable ceiling that still catches accidental
    * mass deletion (e.g., a refactor that strips the body of a skill).
    *
-   * v2.0.0.0 will introduce the sections/ pattern for 5 heavyweights
+   * v2.0.0.0 introduces the sections/ pattern for 5 heavyweights
    * (ship, plan-ceo-review, office-hours, plan-eng-review,
-   * plan-design-review). Those skills will legitimately shrink to ~15 KB
-   * skeletons. When that lands, add them to SECTIONS_EXTRACTED so the floor
-   * relaxes for them.
+   * plan-design-review). Carved so far: ship (skeleton ~83 KB) and
+   * plan-ceo-review (skeleton ~81 KB, down from the 138 KB monolith). Those
+   * skeletons legitimately fall below the 80% body-strip floor, so each carved
+   * skill is added to SECTIONS_EXTRACTED; its union is guarded instead by the
+   * sectioned invariant in parity-harness.ts (minBytes on skeleton+sections).
+   * Add the remaining three here as they carve.
    */
   test('no skill shrinks past 80% of v1.47.0.0 baseline (catches accidental body strip)', () => {
     const baseline: ParityBaseline = JSON.parse(fs.readFileSync(BASELINE_PATH, 'utf-8'));
@@ -160,7 +163,7 @@ describe('SKILL.md size budget regression (gate, free)', () => {
     // because prose moved into sections/*.md. The union size is guarded instead
     // by the sectioned ship invariant in parity-harness.ts (minBytes on the
     // skeleton+sections union), so exempt the skeleton from the body-strip floor.
-    const SECTIONS_EXTRACTED = new Set<string>(['ship']);
+    const SECTIONS_EXTRACTED = new Set<string>(['ship', 'plan-ceo-review']);
 
     const undershoots: Array<{
       skill: string; beforeBytes: number; afterBytes: number; ratio: number;