{"id":68232,"plugin_id":"plugin_asdk_app_6ad03175bf6c8191bdcae1f5b35b68f6","kind":"skill","collection_source":"plugin_package","comparison_source":null,"observed_at":"2026-10-28T13:13:13.731Z","digest":"f4097fa4eeeb3bbb28514ca030adcd2f0046f2000539b4b763832697450e8730","against":null,"payload":{"description":"Rank explicit alternatives using weighted benefit or cost criteria, inspect ties and pairwise weight sensitivity, and export a decision comparison CSV.","included_files":[{"relative_path":"agents/openai.yaml","size_in_bytes":472}],"name":"decision-matrix","skill_md_contents":"---\nname: decision-matrix\ndescription: Rank explicit alternatives using weighted benefit or cost criteria, inspect ties and pairwise weight sensitivity, and export a decision comparison CSV.\n---\nCall calculate_decision_matrix when the user supplies criterion weights and alternative scores. Scores must use the same fixed zero-to-one-hundred scale; do not pass raw costs or mixed units. A benefit favors higher scores; a cost favors lower scores. Pass score arrays in criterion order. Do not invent ratings, research facts or infer preferences. Report normalized weights, leading options and ties. Pairwise break-even shares hold other weights proportional and do not guarantee an overall winner switch. The widget changes weights and exports the comparison. CSV links expire in about one hour.\n"},"changes":[],"summary":"First saved snapshot. No earlier version is available for comparison.","summary_kind":"deterministic","summary_metadata":{}}