{"slug":"brycewang-stanford-causal-ml","source_name":"brycewang-stanford/causal-ml","name":"Brycewang Stanford/Causal ML","description":"This skill covers causal machine learning methods in applied economics and quantitative social science. Use when implementing or choosing between modern ML-based causal estimators — including double machine learning, DML, partially linear models, interactive regression models, cross-fitting, Neyman orthogonality, debiased ML, causal forests, generalized random forest, GRF, honest causal trees, AIPW with machine learning, doubly robust with machine learning, DR-Learner, T-Learner, S-Learner, X-Le","version":1,"lift":{"pass_rate_delta_pts":17.39,"pass_rate_pct":87,"total_cases":23,"passed_cases":20,"tokens_delta_pct":77,"turns_delta_pct":0,"verdict":"mixed","benchmark_model":"gemini-3.6-flash","grading_method":"judged","completed_at":"2026-08-08T10:07:20.160443+00:00"},"skill_score":0.8696,"benchmark_models":[{"model":"gemini-3.6-flash","headline":true,"delta_pts":17.39,"with_pass_pct":87,"without_pass_pct":69.6,"tokens_delta_pct":77,"turns_delta_pct":0,"total_cases":23,"cases_aggregated":23,"verdict":"mixed","never_hurt":true,"completed_at":"2026-08-08T10:07:20.160443+00:00","run_id":"f0829ef6-691c-410f-bef3-4c5a64357e4e","version_number":1,"is_latest_version":true,"gate":null}],"trust":{"skill_safety":"caution","safety_status":"flagged","intent_verdict":"safe","content_status":"clean","indexable":false},"license":"NOASSERTION","install_count":0,"manifest_hash":"8f4b220a783cce5c5df887d2ed64dd1604cfcd936cf386e18cef55ac49a64061","raw_url":"https://app.decimal.ai/s/brycewang-stanford-causal-ml/SKILL.md","scorecard_url":"https://app.decimal.ai/skills/brycewang-stanford-causal-ml"}