{"id":22224,"plugin_id":"plugins_6ab0101414c081918a43849ea9773344","kind":"skill","collection_source":null,"comparison_source":null,"observed_at":"2026-09-30T23:17:11.645Z","digest":"fba746d64d71fc13be8133b69a6fd8d51ba6b9e40839439620d07b14aca20536","against":null,"payload":{"description":"Use when a narrow regression or defect should be fixed at the responsible layer while preserving surrounding behavior and proving the patch with focused tests.","included_files":[{"relative_path":"agents/openai.yaml","size_in_bytes":258}],"name":"surgical-patch","skill_md_contents":"---\nname: surgical-patch\ndescription: Use when a narrow regression or defect should be fixed at the responsible layer while preserving surrounding\n  behavior and proving the patch with focused tests.\n---\n\n# Surgical patch\n\nReproduce failure first when economical; otherwise capture strongest available evidence.\n\n- Trace symptom to responsible mechanism.\n- Change narrowest layer that owns incorrect behavior.\n- Preserve unrelated behavior and user changes.\n- Avoid cleanup, renaming, and abstraction outside fix.\n- Add only regression proof relevant to task.\n\nRun focused proof plus nearest affected gate. Stop when failure is fixed and regression proof passes.\n"},"changes":[],"summary":"First saved snapshot. No earlier version is available for comparison.","summary_kind":"deterministic","summary_metadata":{}}