diff --git a/roadscore/prototype/test_prepared_core.py b/roadscore/prototype/test_prepared_core.py
index 042a408d78..3c0951b7e3 100644
--- a/roadscore/prototype/test_prepared_core.py
+++ b/roadscore/prototype/test_prepared_core.py
@@ -46,5 +46,28 @@ class PreparedTests(unittest.TestCase):
     for key in ('ROADSCORE_PREPARED_SHOWCASE','ROADSCORE_SHOWCASE_SESSION','SIMULATION'):
       self.assertFalse(isolated_replay({**env,key:''}))
     self.assertFalse(isolated_replay({**env,'OPENPILOT_ZMQ_NAMESPACE':'roadscore-native-abc'}))
+  def test_staged_cut_stays_clear_with_signal_and_full_presentation_stack(self):
+    engine=PreparedPresentation(self.path)
+    rate=48000;payoff=2.5
+    samples=np.arange(4*rate)/rate
+    core=np.repeat((.15*np.sin(2*np.pi*90*samples))[:,None],2,axis=1).astype(np.float32)
+    before=core.copy();chunks=[]
+    for frame in range(0,len(core),960):
+      now=frame/rate
+      curve=dict(kind='curve',phase='anticipation' if now<payoff else 'event',
+                 amount=min(1.,max(0.,(now-.2)/(payoff-.2))),activation=.2,
+                 predicted_peak=payoff,demo_staged_curve=True,demo_build_drop=True)
+      if now<.2 or now>=3.5:curve=dict(kind='curve',phase='neutral',amount=0.,activation=None)
+      state=dict(active=True,signal_on=True,fresh=True,car_fresh=True,model_fresh=True,
+                 speed=10.,alert_key='',alert_meaningful=False,curve=curve,route_t=now)
+      wet,_=engine.process(core[frame:frame+960],frame,state,('engaged','left'))
+      chunks.append(wet)
+    result=np.concatenate(chunks)
+    self.assertEqual(engine.curve.impact.actual_payoff,round(payoff*rate))
+    self.assertLess(float(np.max(abs(result[round((payoff-.08)*rate):round((payoff-.02)*rate)]))),1e-6)
+    self.assertGreater(float(np.sqrt(np.mean(result[round((payoff+.04)*rate):round((payoff+.12)*rate)]**2))),.09)
+    np.testing.assert_array_equal(core,before)
+    self.assertEqual(result.shape,core.shape)
+    self.assertTrue(np.isfinite(result).all())
 
 if __name__=='__main__':unittest.main()