diff --git a/qlib/contrib/workflow/__init__.py b/qlib/contrib/workflow/__init__.py
new file mode 100644
index 000000000..e69de29bb
diff --git a/qlib/contrib/workflow/record_temp.py b/qlib/contrib/workflow/record_temp.py
new file mode 100644
index 000000000..2b9930743
--- /dev/null
+++ b/qlib/contrib/workflow/record_temp.py
@@ -0,0 +1,47 @@
+#  Copyright (c) Microsoft Corporation.
+#  Licensed under the MIT License.
+
+import re
+import pandas as pd
+from sklearn.metrics import mean_squared_error
+from pprint import pprint
+import numpy as np
+
+from ...workflow.record_temp import SignalRecord
+from ...log import get_module_logger
+
+logger = get_module_logger("workflow", "INFO")
+
+
+class SignalMseRecord(SignalRecord):
+    """
+    This is the Signal MSE Record class that computes the mean squared error (MSE).
+    This class inherits the ``SignalMseRecord`` class.
+    """
+
+    artifact_path = "sig_analysis"
+
+    def __init__(self, recorder, **kwargs):
+        super().__init__(recorder=recorder, **kwargs)
+
+    def generate(self, **kwargs):
+        try:
+            self.check(parent=True)
+        except FileExistsError:
+            super().generate()
+
+        pred = self.load("pred.pkl")
+        label = self.load("label.pkl")
+        masks = ~np.isnan(label.values)
+        mse = mean_squared_error(pred.values[masks], label[masks])
+        metrics = {
+            "MSE": mse,
+        }
+        objects = {"mse.pkl": mse}
+        self.recorder.log_metrics(**metrics)
+        self.recorder.save_objects(**objects, artifact_path=self.get_path())
+        pprint(metrics)
+
+    def list(self):
+        paths = [self.get_path("mse.pkl")]
+        return paths