Fix lint errors

Author: webstackdev

core/llm.py

@@ -68,4 +68,4 @@ def _extract_json_object(message_content: str) -> dict[str, Any]:
         payload = json.loads(match.group(0))
     if not isinstance(payload, dict):
         raise ValueError("Model response JSON must be an object.")
-    return payload
+    return payload

core/pipeline.py

@@ -385,4 +385,4 @@ def _create_skill_result(
     if previous:
         previous.superseded_by = skill_result
         previous.save(update_fields=["superseded_by"])
-    return skill_result
+    return skill_result

core/tests/test_pipeline.py

@@ -171,4 +171,4 @@ def test_process_content_adds_review_item_for_low_confidence_classification(pipe
         content=pipeline_context.content,
         reason=ReviewReason.LOW_CONFIDENCE_CLASSIFICATION,
     )
-    assert review_item.confidence == pytest.approx(0.3)
+    assert review_item.confidence == pytest.approx(0.3)

skills/content_classification/SKILL.md

@@ -14,4 +14,4 @@ Classify newsletter content into one of these categories:
 - release_notes
 - other
 
-Return structured JSON with `content_type`, `confidence`, and `explanation`.
+Return structured JSON with `content_type`, `confidence`, and `explanation`.

skills/relevance_scoring/SKILL.md

@@ -10,4 +10,4 @@ Score how relevant a piece of content is for a tenant using reference-corpus sim
 - Similarity < 0.5: use the similarity score directly.
 - Similarity between 0.5 and 0.85: use an LLM for nuanced judgment when available.
 
-Return structured JSON with `relevance_score`, `explanation`, and `used_llm`.
+Return structured JSON with `relevance_score`, `explanation`, and `used_llm`.

skills/summarization/SKILL.md

@@ -6,4 +6,4 @@ output: summary
 
 Write a concise 2-3 sentence newsletter-ready summary for content that has already been judged relevant.
 
-Return structured JSON with a single `summary` field.
+Return structured JSON with a single `summary` field.