diff --git a/src/seals/util.py b/src/seals/util.py
index 6299bdc..c3b6718 100644
--- a/src/seals/util.py
+++ b/src/seals/util.py
@@ -16,7 +16,6 @@
 
 import gymnasium as gym
 import numpy as np
-import numpy.typing as npt
 
 # Note: we redefine the type vars from gymnasium.core here, because pytype does not
 # recognize them as valid type vars if we import them from gymnasium.core.
@@ -137,10 +136,7 @@ class BoxRegion:
 MaskedRegionSpecifier = List[BoxRegion]
 
 
-class MaskScoreWrapper(
-    gym.Wrapper[npt.NDArray, ActType, npt.NDArray, ActType],
-    Generic[ActType],
-):
+class MaskScoreWrapper(gym.ObservationWrapper):
     """Mask a list of box-shaped regions in the observation to hide reward info.
 
     Intended for environments whose observations are raw pixels (like Atari
@@ -178,22 +174,10 @@ def __init__(
                 raise ValueError('Invalid region: "x" and "y" must be increasing.')
             self.mask[r.x[0] : r.x[1], r.y[0] : r.y[1]] = 0
 
-    def _mask_obs(self, obs) -> npt.NDArray:
+    def observation(self, obs):
+        """Returns observation with masked regions filled with `fill_value`."""
         return np.where(self.mask, obs, self.fill_value)
 
-    def step(
-        self,
-        action: ActType,
-    ) -> Tuple[npt.NDArray, SupportsFloat, bool, bool, Dict[str, Any]]:
-        """Returns (obs, rew, terminated, truncated, info) with masked obs."""
-        obs, rew, terminated, truncated, info = self.env.step(action)
-        return self._mask_obs(obs), rew, terminated, truncated, info
-
-    def reset(self, **kwargs):
-        """Returns masked reset observation."""
-        obs, info = self.env.reset(**kwargs)
-        return self._mask_obs(obs), info
-
 
 class ObsCastWrapper(gym.ObservationWrapper):
     """Cast observations to specified dtype.