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>

plugins/linkedin-studio/commands/carousel.md

@@ -12,6 +12,7 @@ allowed-tools:
   - Bash
   - AskUserQuestion
   - mcp__mcp-image__generate_image
+  - Task
 ---
 <!-- MCP_IMAGE_TEXT_OVERLAY: VERIFIED -->
 <!-- MERMAID_CHART_RESOLUTION: UNTESTED -->
@@ -117,6 +118,12 @@ Run against the Carousel Quality Checklist from `carousel-templates.md`:
 
 If any item fails, fix before presenting.
 
+### De-AI / Differentiation Gate
+
+The caption is the feed text, and it rides the same low-substance down-rank LinkedIn confirmed. Confirm the caption and cover slide 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.)
+
+If the deck's premise is a list 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 generating slides.
+
 ## Step 5.5: Generate Slide Images
 
 Generate a visual for each slide using mcp-image (Nano Banana Pro). If mcp-image is unavailable or fails, skip this step — the command degrades gracefully to text-only output with a manual design guide.

plugins/linkedin-studio/commands/post.md

@@ -134,6 +134,12 @@ Before presenting, verify against `assets/checklists/quality-scorecard.md`:
 - [ ] Topic aligns with user's 5 core expertise areas
 - [ ] Passes thought leadership test (helps someone decide or think differently)
 
+### De-AI / Differentiation Gate
+
+LinkedIn reach-suppresses low-substance AI content (officially confirmed — down to first-degree connections, not deleted). Confirm the draft carries the signals LinkedIn named — **personal substance, original thinking, concrete specifics, genuine voice** — and uses no mechanical-response engagement bait ("Comment YES", "Like for Part 2"); a genuine question is fine. (The voice-guardian hook scores this automatically on save.)
+
+If the angle risks being commodity content — a take the audience has seen many times — 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 apply its angle suggestions before presenting.
+
 ## Step 6: Present Draft
 
 Present ONE draft with:

plugins/linkedin-studio/commands/quick.md

@@ -14,6 +14,7 @@ allowed-tools:
   - Read
   - Bash
   - AskUserQuestion
+  - Task
 ---
 
 # Quick LinkedIn Post (5-Minute Workflow)
@@ -144,6 +145,10 @@ Create the post, then verify:
 
 **All 6 = Yes? -> Ready to post.**
 
+### De-AI / Differentiation Gate (fast)
+
+Even quick posts ride the low-substance down-rank LinkedIn confirmed. Confirm one concrete specific plus a genuine point of view (not generic advice), and no mechanical-response bait ("Comment YES", "Like for Part 2") — a real question is fine. (The voice-guardian hook scores this on save.) Only when the take feels like commodity content does an originality pass earn its time: delegate to the `differentiation-checker` agent via `Task` with `subagent_type: linkedin-studio:differentiation-checker` — otherwise keep the 5-minute promise and skip it.
+
 ## Step 6: Present Draft
 
 Show the post with:

plugins/linkedin-studio/commands/react.md

@@ -14,6 +14,7 @@ allowed-tools:
   - WebFetch
   - Bash
   - AskUserQuestion
+  - Task
 ---
 
 # React to External Content — URL-to-Post Pipeline
@@ -126,6 +127,12 @@ Verify against quality rules:
 - [ ] Topic aligns with expertise areas
 - [ ] CTA invites discussion, not just "What do you think?"
 
+### De-AI / Differentiation Gate
+
+A reaction still has to add something only you can. Confirm the draft carries the signals LinkedIn named — **personal substance, original thinking, concrete specifics, genuine voice** — and uses no mechanical-response engagement bait ("Comment YES", "Like for Part 2"); a genuine question is fine. (The voice-guardian hook scores this on save.)
+
+If your take echoes the source instead of extending it — commodity reaction — 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.
+
 ## Step 7: Present Draft
 
 Show:

plugins/linkedin-studio/commands/video.md

@@ -121,6 +121,12 @@ Before presenting, verify the script passes the video quality gate:
 - [ ] Topic aligns with expertise pillars
 - [ ] No external links in post caption
 
+### De-AI / Differentiation Gate
+
+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.)
+
+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.
+
 ## Step 6: Present the Script
 
 Present using the standardized output format: