cli+dashboard: --panel flag, panel dict keys, TF-dialog panel section

main.py: --panel runs the agent panel on demand (force bypasses
enabled/surface/quality toggles; daily budget + LLM cap still apply),
prints the verdict + persona takes, and report_to_dict carries the four
panel keys — which auto-propagates them into the dashboard's
snapshot.json via report_to_webapp_dict. dashboard_publisher attaches
in scan_tf gated by agent_panel.dashboard (default off); dashboard.html
renders an "AI panel (advisory)" section in the TF detail dialog.

Co-Authored-By: Claude Fable 5 <noreply@anthropic.com>
Claude-Session: https://claude.ai/code/session_01SisdfkxnXNL9iZsXxN3T15

static/dashboard.html

@@ -981,6 +981,22 @@ function detailHTML(tf) {
       ${esc(r.news_summary || "")}</div>`);
   }
 
+  /* AI agent panel (advisory) */
+  if (r.panel_verdict) {
+    const vcls = r.panel_verdict === "AGREE" ? "buy"
+      : r.panel_verdict === "OPPOSE" ? "sell" : "neutral";
+    const takes = (r.panel_takes || []).map(t =>
+      `<tr><td class="ind-k">${esc(t.persona)}</td>
+        <td>${esc(t.stance)}</td>
+        <td class="num">${t.confidence != null ? Math.round(t.confidence) : "—"}</td>
+        <td>${esc(t.note || "")}</td></tr>`).join("");
+    out += sec("AI panel (advisory)", `<div class="d-note" style="margin-bottom:8px">
+      <b class="sig-txt ${vcls}">${esc(r.panel_verdict)}</b> ·
+      conf ${Math.round(r.panel_confidence || 0)}%<br>
+      ${esc(r.panel_rationale || "")}</div>
+      ${takes ? `<table class="d-table"><tbody>${takes}</tbody></table>` : ""}`);
+  }
+
   /* provenance */
   out += sec("Scan detail", `<table class="d-table"><tbody>
     <tr><td class="ind-k">Instrument</td><td colspan="5">${esc(r.display_name || r.symbol || "—")}</td></tr>