fix(linkedin-studio): S11 — model-name declaration drift + model-consistency lint guard

Cold full-brief re-review (S10) reached a class the S7->S9 algorithm-stat lens
never did:

BLOCKER — post-feedback-monitor published as Haiku in four surfaces
(README:259, skills/linkedin-studio:159 with wrong color Green too,
skills/linkedin-analytics:41, agents-capability-matrix:20) while
agents/post-feedback-monitor.md runs Opus. v4.0.0's Opus promotion never
reached the user-facing tables. Synced all to Opus/Lime. Refreshed
agents-capability-matrix.md (frozen at the v2.0 14-agent era): header 14->19,
+5 missing longform agents, tier counts Opus 2->8 / Haiku 1->0, longform-gate
diagram updated to the real 8-Opus-agent chain.

MAJOR — de-branded docs/plan-fullspektrum-innholdsmotor.md:70 (model brand +
jan-2026 asserted as fact -> no-name/no-month relevance-model phrasing). It was
the only tracked survivor; the rest live in gitignored ROADMAP.md /
.claude/research/ (not shipped, out of honesty scope).

META — added Section 10 model-consistency guard
(scripts/check-model-consistency.mjs): each agents/*.md model: must match every
surface declaration AND the canonical rosters must list all 19 agents.
Permanent non-vacuity self-test + e2e mutation-proven.

Pre-patch sweep confirmed post-feedback-monitor was the sole drifted agent
(89 model rows, 0 other mismatches). test-runner.sh 68/0/0, node --test 94/94.

Co-Authored-By: Claude Opus 4.8 <noreply@anthropic.com>
This commit is contained in:
Kjell Tore Guttormsen 2026-05-30 15:05:37 +02:00
commit 433c2efb3d
8 changed files with 223 additions and 17 deletions

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@ -1,6 +1,6 @@
# Agent Capability Matrix
14 specialized agents for LinkedIn thought leadership. Each agent has a focused responsibility, defined model, and unique color for visual identification.
19 specialized agents for LinkedIn content (short-form feed + long-form newsletter). Each agent has a focused responsibility, defined model, and unique color for visual identification.
## Quick Reference
@ -17,13 +17,18 @@
| voice-trainer | Sonnet | Pink | Voice profile building and drift detection |
| differentiation-checker | Sonnet | Gray | Originality scoring and commodity detection |
| video-scripter | Sonnet | Violet | Video script creation with pacing and visual cues |
| post-feedback-monitor | Haiku | Lime | Post-publish 48h monitoring and real-time interventions |
| post-feedback-monitor | Opus | Lime | Post-publish 48h monitoring and real-time interventions |
| fact-checker | Opus | Brown | Factual-claim verification against primary/credible sources (longform) |
| persona-reviewer | Opus | Olive | Reader-persona resonance + hook-conversion gate (longform) |
| editorial-reviewer | Opus | Orange | Editor's craft gate: prosa-håndverk + narrativ-arkitektur (longform) |
| persona-reviewer | Opus | Olive | Reader-persona skeleton + resonance + hook-conversion gate (longform) |
| voice-scrubber | Opus | Red | De-AI scrub + Norwegian-chronicle voice-drift correction (longform) |
| content-reviewer | Opus | Maroon | Cold argument-integrity review (C1C5) on a frozen draft (longform) |
| language-reviewer | Opus | Navy | Cold Norwegian-language review (L1L5) on a frozen draft (longform) |
| fact-reviewer | Opus | Gold | Cold fact re-verification (F1F4) + pivot-risk on a frozen draft (longform) |
## Capability Matrix
Capabilities mapped across agents. **P** = Primary, **S** = Secondary/Supporting.
Capabilities mapped across the 14 content-production agents (the columns below). **P** = Primary, **S** = Secondary/Supporting. The five remaining agents — editorial-reviewer, voice-scrubber, content-reviewer, language-reviewer, fact-reviewer — are ordered long-form quality gates rather than content-capability agents; they are documented in **Longform Quality Gates** below and listed in the Quick Reference above.
| Capability | optimizer | strategy | analytics | engage | planner | network | repurpose | trends | voice | diff-check | video | post-monitor | fact-check | persona-rev |
|-----------|:---------:|:--------:|:---------:|:------:|:-------:|:-------:|:---------:|:------:|:-----:|:----------:|:-----:|:------------:|:----------:|:-----------:|
@ -108,13 +113,19 @@ How agents collaborate in the end-to-end content lifecycle:
### Longform Quality Gates (newsletter)
For longform editions, two additional Opus agents run BEFORE lock:
For longform editions, eight Opus agents run as ordered gates BEFORE lock:
```
draft ─▸ fact-checker ─▸ persona-reviewer ─▸ LOCK ─▸ delivery
(primary-source (resonance +
verification) hook-conversion
gate)
draft
─▸ fact-checker (primary-source verification, post-cutoff web search)
─▸ editorial-reviewer (craft: prosa-håndverk + narrativ-arkitektur, Step 5.5)
─▸ persona-reviewer (skeleton → resonance → hook-conversion)
─▸ voice-scrubber (de-AI + Norwegian-chronicle voice)
─▸ headless review (Step 6.5 — COLD on the frozen draft):
content-reviewer (argument integrity C1C5)
language-reviewer (Norwegian language L1L5)
fact-reviewer (cold re-verification F1F4 + pivot-risk)
─▸ LOCK ─▸ delivery
```
### Parallel Support Agents
@ -159,6 +170,5 @@ content-repurposer ────▸ Post-publish: extends content lifecycle
| Model | Agents | Why |
|-------|--------|-----|
| **Opus** | 2 agents (fact-checker, persona-reviewer) | Longform judgment: factual verification, reader-persona resonance |
| **Opus** | 8 agents (fact-checker, editorial-reviewer, persona-reviewer, voice-scrubber, content-reviewer, language-reviewer, fact-reviewer, post-feedback-monitor) | Longform judgment + 48h post-monitoring: factual verification, craft, resonance, voice, cold adversarial re-review, real-time intervention |
| **Sonnet** | 11 agents | Complex reasoning: optimization, strategy, analysis, scoring, scripting, comment targeting |
| **Haiku** | 1 agent (post-feedback-monitor) | Lighter task: post monitoring with anomaly detection |