diff --git a/utils/fix_consequences b/utils/fix_consequences
index 8d14683309d..0a15bb53575 100755
--- a/utils/fix_consequences
+++ b/utils/fix_consequences
@@ -21,25 +21,21 @@ import pandas
 from openquake.baselib import sap
 
 
+# fix old consequence functions before engine version 3.23
 def main(taxonomy_mapping: str, consequences: str):
     """
     Use the taxonomy mapping to upgrade risk_id-based consequence functions
     to taxonomy-based consequence functions
     """
     tmap = pandas.read_csv(taxonomy_mapping).set_index('conversion')
-    for conseq in consequences:
-        cons = pandas.read_csv(conseq).set_index('taxonomy')
-        cols = ['taxonomy'] + list(cons.columns)
-        df = cons.join(tmap, how='inner')[cols]
-        df.index.names = ['risk_id']
-        dfs = []
-        for _, grp in df.groupby(['taxonomy', 'consequence', 'loss_type']):
-            dfs.append(grp[0:1])  # take the first row
-        df = pandas.concat(dfs)
-        df.to_csv(conseq)
-
-main.taxonomy_mapping = 'filename'
-main.consequences = dict(help='files', nargs='+')
+    cons = pandas.read_csv(consequences).set_index('taxonomy')
+    cols = ['taxonomy'] + list(cons.columns)
+    df = cons.join(tmap, how='inner')[cols]
+    df.index.names = ['risk_id']
+    dfs = []
+    for _, grp in df.groupby(['taxonomy', 'consequence', 'loss_type']):
+        dfs.append(grp[0:1])  # take the first row
+    pandas.concat(dfs).to_csv(consequences)
 
 
 if __name__ == '__main__':