Add kind: reward rSkill (robometer-4b-nf4); 30 -> 31 rSkills (ADR-0057)

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@@ -219,7 +219,7 @@
     <span class="badge">Apache-2.0</span>
     <span class="badge">ROS 2 Jazzy</span>
     <span class="badge">Python 3.12</span>
-    <span class="badge">16 robots · 30 rSkills · 22 benchmarks</span>
+    <span class="badge">16 robots · 31 rSkills · 22 benchmarks</span>
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   <!-- What is it -->
@@ -313,6 +313,7 @@ openral deploy run --config deployments/so100_pickplace.yaml</code></pre>
         <tr><td><code>rskill-*</code> models</td><td>ROS-action rSkills (<code>kind: ros_action</code>) — classical motion planners (MoveIt MoveGroup, Nav2) the reasoner dispatches like any other skill</td><td>4</td></tr>
         <tr><td><code>rskill-*</code> models</td><td>Perception detector rSkills (<code>kind: detector</code>) — RT-DETR + OmDet-Turbo + LocateAnything → <code>ObjectsMetadata</code></td><td>5</td></tr>
         <tr><td><code>rskill-*</code> models</td><td>Scene-understanding VLM rSkill (<code>kind: vlm</code>) — drives the reasoner's read-only <code>query_scene</code> tool</td><td>1</td></tr>
+        <tr><td><code>rskill-*</code> models</td><td>Reward / progress-monitor rSkill (<code>kind: reward</code>) — robotic reward model run parallel to a VLA; drives the reasoner's read-only <code>query_task_progress</code> tool</td><td>1</td></tr>
         <tr><td><code>dataset-*</code></td><td>LeRobotDataset v3 demonstration datasets</td><td>growing</td></tr>
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     </table>
@@ -505,6 +506,21 @@ openral deploy run --config deployments/so100_pickplace.yaml</code></pre>
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+  <h2>Reward-monitor rSkill</h2>
+  <p><code>kind: reward</code> — a robotic <strong>reward / progress-monitor</strong> model that runs <strong>in parallel with a VLA</strong> and scores the live rollout, emitting per-frame normalised progress (0–1) and success probability. It powers the S2 reasoner's <strong>read-only</strong> <code>query_task_progress</code> tool ("is the task succeeding right now?"); advisory, never on the control path (ADR-0057). Runs out-of-process in an NF4 sidecar served by <code>reward_monitor_node</code>; the pre-quantized checkpoint is meta-loaded directly as 4-bit.</p>
+  <div class="table-wrap">
+    <table>
+      <thead><tr><th>rSkill</th><th>Backbone</th><th>Notes</th><th>License</th></tr></thead>
+      <tbody>
+        <tr>
+          <td><code>rskill-robometer-4b-nf4</code></td>
+          <td>Robometer-4B / Qwen3-VL-4B NF4 (~3.3 GB)</td><td>Reasoner <code>query_task_progress</code> tool · role <code>s2</code> · fits 8 GB alongside a small VLA</td>
+          <td><span class="lic lic-green"></span>Apache-2.0</td>
+        </tr>
+      </tbody>
+    </table>
+  </div>
+
   <!-- License legend -->
   <p style="font-size:12.5px; color: var(--mid);">
     <span class="lic lic-green"></span> Free for any use &nbsp;