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>

sandbox/grader.Dockerfile

@@ -1,15 +1,17 @@
-# Boardroom Map reviewer image — BUILT ON THE HEAD SPARK (aarch64), not packed into the
+# Boardroom Map grader image — BUILT ON THE HEAD SPARK (aarch64), not packed into the
 # s9pk (the orchestrator ships this build context and builds it on the Spark; see
-# reviewers.ensure_reviewer_image).
+# graders.ensure_grader_image).
 #
-# One-shot, read-only document reviewer (grader_agent.py) speaking the
-# OpenAI-compatible API directly — a lean pure-Python image that builds fast.
+# One-shot, read-only role agent (grader_agent.py; BM_ROLE = extractor | grader |
+# adjudicator) speaking the OpenAI-compatible API directly — a lean pure-Python
+# image that builds fast.
 #
 # At RUN time the orchestrator launches this HARDENED (non-root, --cap-drop ALL,
 # --security-opt no-new-privileges, read-only rootfs, no docker socket, only
-# /docs (ro), /persona (ro), /RUBRIC.md (ro) and /out (rw) mounted, cpu/mem/pid
-# caps) and attached to the per-job network. In air-gapped mode that network is
-# --internal, so the container can reach ONLY the on-Spark model proxy.
+# /docs (ro), /BDEF.md (ro), /schema.json (ro), /persona (ro) and /out (rw)
+# mounted — the adjudicator instead gets /grades (ro) + /extraction.json (ro) —
+# cpu/mem/pid caps) and attached to the per-job network. In air-gapped mode that
+# network is --internal, so the container can reach ONLY the on-Spark model proxy.
 FROM python:3.11-slim
 
 RUN apt-get update && apt-get install -y --no-install-recommends \