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/test-connection.ts

@@ -3,18 +3,19 @@ import { sdk } from '../sdk'
 
 /**
  * Runs a one-shot in the orchestrator image that SSHes into the configured
- * Spark(s) and reports `nvidia-smi` plus whether the vLLM + reviewer images are
- * built. Reuses orchestrator/spark_client.py so SSH logic lives in one place.
+ * Spark(s) and reports `nvidia-smi` plus whether the vLLM (boardroom-vllm) and
+ * grader (boardroom-grader) images are built. Reuses orchestrator/spark_client.py
+ * so SSH logic lives in one place.
  */
 export const testConnection = sdk.Action.withoutInput(
   'test-connection',
 
   async ({ effects }) => ({
     name: 'Test Spark Connection',
-    description: 'SSH into the configured Spark(s) and verify GPU + serving/reviewer image access.',
+    description: 'SSH into the configured Spark(s) and verify GPU + serving/grader image access.',
     warning: null,
     allowedStatuses: 'any',
-    group: null,
+    group: 'Setup',
     visibility: 'enabled',
   }),