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/main.ts

@@ -3,8 +3,8 @@ import { WEB_UI_PORT } from './interfaces'
 
 export const main = sdk.setupMain(async ({ effects }) => {
   // Mount the persistent volume at /data: config.json, ssh key, optional HF
-  // token, the dropped-document inbox, job run state, and saved reports all live
-  // here.
+  // token, the per-company deck inbox, job run state, and saved scorecards /
+  // ledgers all live here.
   const mounts = sdk.Mounts.of().mountVolume({
     volumeId: 'main',
     mountpoint: '/data',
@@ -19,9 +19,10 @@ export const main = sdk.setupMain(async ({ effects }) => {
     'boardroom-webui',
   )
 
-  // The web UI runs the FastAPI app AND, in a background thread, the Boardroom Map job
-  // runner (which extracts dropped documents, serves the chosen models on the
-  // Sparks in waves, runs the reviewer panel, and synthesizes a report).
+  // The web UI runs the FastAPI app AND, in a background thread, the Boardroom
+  // Map job runner (which extracts dropped decks, serves the chosen models on
+  // the Sparks in waves, runs the grading panel + adjudicator, computes the
+  // deterministic composite, and updates each company's scorecard ledger).
   return sdk.Daemons.of(effects).addDaemon('webui', {
     subcontainer: sub,
     exec: {