feat(linkedin-studio): short-form de-AI gate via differentiation-checker + voice-guardian
Wire the orphan differentiation-checker (#10) into the five short-form creation commands (post/quick/react/carousel/video) as a De-AI / Differentiation Gate at each command's quality-check step: confirm the LinkedIn-named substance signals (personal substance, original thinking, concrete specifics, genuine voice) + a soft engagement-bait check, and delegate an originality pass to linkedin-studio:differentiation-checker when the angle risks commodity content. Add Task to allowed-tools in quick/react/carousel (post/video already had it from Step 13). Extend (not duplicate) hooks/prompts/voice-guardian.md's AI-pattern section with the same named signals from research/01 D8 + research/03 D4. Runtime-loaded prompt — no compile-hooks.py, no hooks.json change (verified: compile-hooks --check reports no drift). Test: new hooks/scripts/__tests__/linkedin-content-filter.test.mjs pins the content/non-content boundary the gate is scoped by (14 tests). Full hook suite 76/76, structure lint 61/61. Plan Step 14 (Wave 4 S2). Counts unchanged (26 commands / 19 agents). [skip-docs]: tre-doc + version bump deferred to Step 21 per remediation plan. Co-Authored-By: Claude Opus 4.8 <noreply@anthropic.com>
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@ -121,6 +121,12 @@ Before presenting, verify the script passes the video quality gate:
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- [ ] Topic aligns with expertise pillars
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- [ ] No external links in post caption
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### De-AI / Differentiation Gate
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The post caption rides the same low-substance down-rank LinkedIn confirmed for text. Confirm the script's core idea and caption carry the signals LinkedIn named — **personal substance, original thinking, concrete specifics, genuine voice** — and use no mechanical-response engagement bait ("Comment YES", "Like for Part 2"); a genuine question is fine. (The voice-guardian hook scores the caption on save.)
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If the idea is a take the audience has seen many times — commodity content — delegate an originality pass to the `differentiation-checker` agent: invoke it via `Task` with `subagent_type: linkedin-studio:differentiation-checker` (foreground, from this command layer), then sharpen the angle before presenting.
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## Step 6: Present the Script
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Present using the standardized output format:
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