diff --git a/.ci-scripts/utils/evaluate_designEvaluator_results.py b/.ci-scripts/utils/evaluate_designEvaluator_results.py
new file mode 100644
index 0000000000000000000000000000000000000000..ce3b6643ce1a6d904669e1e4a62a897136637c4f
--- /dev/null
+++ b/.ci-scripts/utils/evaluate_designEvaluator_results.py
@@ -0,0 +1,46 @@
+import argparse
+import pandas as pd
+from bs4 import BeautifulSoup
+import numpy as np
+from io import StringIO
+import sys
+
+
+def check_html_file(html_file):
+    # Load and parse the HTML file with BeautifulSoup
+    with open(html_file, 'r') as file:
+        soup = BeautifulSoup(file, 'lxml')
+
+    # Find all tables in the HTML file (in case there are multiple)
+    tables = soup.find_all('table')
+
+    # Select the first table (assuming there's only one)
+    table = tables[0]
+
+    table = str(table)
+    # Convert the HTML table to a Pandas DataFrame
+    df = pd.read_html(StringIO(table))[0]
+
+    # Check the values in the fourth column (index 3)
+    has_deviation = False
+    for index, value in enumerate(df.iloc[:, 3]):
+        if not pd.isna(value) and value not in ['-nan', 'nan', 0]:
+            first_column_value = df.iloc[index, 0]  # Get the first column value of this row
+            print(f"Warning: Deviation in '{first_column_value}'.")
+            print(f"Deviation between server version and calculation with feature: '{value}'")
+            has_deviation = True
+
+    if has_deviation:
+        sys.exit(2)
+
+
+def main():
+    parser = argparse.ArgumentParser(
+            description='Check an HTML file for invalid values in the fourth column.'
+        )
+    parser.add_argument('--file', type=str, help='Path to the HTML file')
+    args = parser.parse_args()
+    check_html_file(args.file)
+
+if __name__ == "__main__":
+    main()