{"slug":"yogsoth-ai-uncertainty-propagation","source_name":"yogsoth-ai/uncertainty-propagation","name":"Yogsoth AI/Uncertainty Propagation","description":"Propagate input uncertainties through the model via Monte Carlo sampling. Identifies which input uncertainties contribute most to output uncertainty.","version":1,"lift":{"pass_rate_delta_pts":27.27,"pass_rate_pct":40.9,"total_cases":22,"passed_cases":9,"tokens_delta_pct":38.8,"turns_delta_pct":0,"verdict":"mixed","benchmark_model":"gemini-3.6-flash","grading_method":"judged","completed_at":"2026-09-07T23:12:04.029206+00:00"},"skill_score":0.4091,"benchmark_models":[{"model":"gemini-3.6-flash","headline":true,"delta_pts":27.27,"with_pass_pct":40.9,"without_pass_pct":13.6,"tokens_delta_pct":38.8,"turns_delta_pct":0,"total_cases":22,"cases_aggregated":20,"verdict":"mixed","never_hurt":true,"completed_at":"2026-09-07T23:12:04.029206+00:00","run_id":"09ae8096-4371-4a93-b0f8-1e4c226f24f0","version_number":1,"is_latest_version":true,"gate":null}],"trust":{"skill_safety":"passed","safety_status":"clean","intent_verdict":"safe","content_status":"clean","indexable":true},"license":"Apache-2.0","install_count":0,"manifest_hash":"201cd831fedd0a76ed8dd47b7242acd83857a7f30d833bd5b1aff1e11835fcc9","raw_url":"https://app.decimal.ai/s/yogsoth-ai-uncertainty-propagation/SKILL.md","scorecard_url":"https://app.decimal.ai/skills/yogsoth-ai-uncertainty-propagation"}