fix(linkedin-studio): close v4.0.0 audit review findings (S8)
Close the 5 findings from the S7 /trekreview release gate (review.md, verdict BLOCK):
- BLOCKER: comment-multiplier "5x" reconciled to the canonical order-only framing
(no fixed multiplier) in agents/engagement-coach.md, linkedin-growth-playbook,
linkedin-formats.md — per algorithm-signals-reference.md ("do not quote a comment
multiplier").
- BLOCKER: carousel rate "6.60%/6.6% (highest)" reconciled to "~7% top organic
format" in linkedin-formats.md:42 (was self-contradicting :50) and
assets/templates/carousel-templates.md.
- Lint hardening: test-runner.sh STALE_STATS now matches 6.60% + the 5x comment
folklore and scans agents/ + assets/templates/ — the grep that defines the
Phase-0 criterion now catches both BLOCKERs.
- MAJOR: onboarding.md command count 26 -> 27.
- MAJOR: add section-append-branch (production-path) tests for recordFirstHourPlan
+ recordOutreachContact against a template-layout fixture.
- MINOR: move date-scalar changes.push inside the write branch in state-updater.mjs.
Verify: node --test hooks/scripts/__tests__/*.test.mjs -> 92/92; bash
scripts/test-runner.sh -> 66/0/0. NO push until /trekreview re-confirms ALLOW/WARN.
Co-Authored-By: Claude Opus 4.8 <noreply@anthropic.com>
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@ -39,7 +39,7 @@ Choosing the right format isn't just about engagement rates—it's about underst
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### Engagement Rates by Format (With Strategic Context)
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**1. Multi-image carousels: 6.60% engagement rate (highest)**
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**1. Documents / carousels (PDF posts): top organic format (~7%; see `references/algorithm-signals-reference.md`)**
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- 6-10 slides optimal
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- 100-150 characters per slide
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- Caption: 300-500 characters
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@ -171,7 +171,7 @@ The first hour after posting determines 70% of your post's total reach. See the
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2. **Shares** (High signal - people want to show others)
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3. **Comments 15+ words** (High signal - 2x impact vs short comments)
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4. **Comments <15 words** (Medium signal)
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5. **Reactions** (Lower signal - 5x less valuable than comments)
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5. **Reactions** (Lower signal - baseline engagement unit; see `references/algorithm-signals-reference.md`)
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**AI-generated generic comments reduce reach by 30% and engagement by 55%**
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