Add topreward-qwen3vl-4b-nf4 to reward-monitor rSkills

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@@ -496,7 +496,7 @@ openral deploy run --config deployments/so100_pickplace.yaml</code></pre>
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-  <h2>Reward-monitor rSkill</h2>
+  <h2>Reward-monitor rSkills</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>
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@@ -507,6 +507,11 @@ openral deploy run --config deployments/so100_pickplace.yaml</code></pre>
           <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>
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+        <tr>
+          <td><code>rskill-topreward-qwen3vl-4b-nf4</code></td>
+          <td>TOPReward (zero-shot) / Qwen3-VL-4B NF4 (3.13 GB)</td><td>Reasoner <code>query_task_progress</code> tool · role <code>s2</code> · per-frame progress via lerobot prefix sweep · fits 8 GB</td>
+          <td><span class="lic lic-green"></span>Apache-2.0</td>
+        </tr>
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