Implement BDEF v1.1 grading: scoring core, per-deck pipeline, ledger, dashboard, StartOS layer

- Deterministic scoring.py (quant 60 / qual 40 / flags -15, profitability heaviest)
- Per-company JSON ledger with forecast-target chaining deck N-1 -> N
- Single-shot sandbox agent with guided-JSON fallback ladder (no tool loop)
- Portfolio dashboard with sparklines, KPI hit rates, BDEF category bars
- 48 unit tests green; endpoints smoke-tested; npm check+build green

Co-Authored-By: Claude Fable 5 <noreply@anthropic.com>

startos/actions/index.ts

@@ -1,17 +1,22 @@
 import { sdk } from '../sdk'
 import { configureSparks } from './configure-sparks'
-import { configureModels } from './configure-models'
-import { configureReviewers } from './configure-reviewers'
-import { configureReview } from './configure-review'
-import { runReview } from './run-review'
 import { testConnection } from './test-connection'
-import { latestReport } from './latest-report'
+import { configureModels } from './configure-models'
+import { configureGraders } from './configure-graders'
+import { configureGrading } from './configure-grading'
+import { configureCompanies } from './configure-companies'
+import { gradeDecks } from './grade-decks'
+import { latestScorecard } from './latest-scorecard'
 
+// Setup group: Sparks -> connection test -> model catalog.
+// Grading group: panel -> scoring knobs -> portfolio companies.
+// Ungrouped (day-to-day): grade the inbox, read the latest scorecard.
 export const actions = sdk.Actions.of()
   .addAction(configureSparks)
-  .addAction(configureModels)
-  .addAction(configureReviewers)
-  .addAction(configureReview)
-  .addAction(runReview)
   .addAction(testConnection)
-  .addAction(latestReport)
+  .addAction(configureModels)
+  .addAction(configureGraders)
+  .addAction(configureGrading)
+  .addAction(configureCompanies)
+  .addAction(gradeDecks)
+  .addAction(latestScorecard)