diff --git a/pyproject.toml b/pyproject.toml
index c21a22e5477abfac15f93d018e77dc19766f632d..c8e001507a6409450b67fc4bdcd44a93aeebfb90 100644
--- a/pyproject.toml
+++ b/pyproject.toml
@@ -10,7 +10,7 @@ authors = [
 maintainers = [
   {name = "Jan Eggers", email = "jan.eggers@hr.de"},
 ]
-version = "0.1.5" # Neue Versionsnummern für pip-Update
+version = "0.1.5.1" # Neue Versionsnummern für pip-Update
 description = "Bluesky-Konten auf KI-Inhalte checken"
 requires-python = ">=3.8"
 dependencies = [
diff --git a/src/aichecker/check_bsky.py b/src/aichecker/check_bsky.py
index 68194395a7085cf6ad63bd7fddfa70d26147ec2d..878c309263d6a2acd99ce46ab8974de9a539aa6f 100644
--- a/src/aichecker/check_bsky.py
+++ b/src/aichecker/check_bsky.py
@@ -181,10 +181,12 @@ def check_handle(handle:str, limit:int = 20, cursor = None, check_images = True)
         print("Checke Texte:")
         df['detectora_ai_score'] = df['text'].apply(detectora_wrapper)
     
-    # Now add "ai" or "human" assessment for images 
+    # Now add "ai" or "human" assessment for images
     if check_images:
         print("\nChecke Bilder:")
         df['aiornot_ai_score'] = df.apply(lambda row: aiornot_wrapper(row['author_did'], row['embed']), axis=1)
+    else:
+        df['aiornot_ai_score'] = None
     print()
     return df