{"slug":"statspai-skill","source_name":"StatsPAI_skill","name":"Statspai Skill","description":"Use when the user asks to run a full empirical / causal analysis in Python — by default in the style of an applied economics paper (AER / QJE / JPE / ReStud / AEJ) with DID / RD / IV / SCM / DML / matching, written-out estimating equation + identifying assumption, Table 1 / Table 2 / event-study figure / robustness gauntlet — OR in epidemiology / public health style (target-trial emulation, IPTW + g-formula + TMLE triplet, Mendelian randomization, KM/AFT survival, E-value sensitivity, STROBE/TRI","version":2,"lift":{"pass_rate_delta_pts":77.27,"pass_rate_pct":100,"total_cases":22,"passed_cases":22,"tokens_delta_pct":1266.1,"turns_delta_pct":0,"verdict":"pass","benchmark_model":"gemini-3.6-flash","grading_method":"judged","completed_at":"2026-08-03T17:25:11.394777+00:00"},"skill_score":1,"benchmark_models":[{"model":"gemini-3.6-flash","headline":true,"delta_pts":77.27,"with_pass_pct":100,"without_pass_pct":22.7,"tokens_delta_pct":1266.1,"turns_delta_pct":0,"total_cases":22,"cases_aggregated":22,"verdict":"pass","never_hurt":true,"completed_at":"2026-08-03T17:25:11.394777+00:00","run_id":"1210b846-b11c-4cb0-b197-60c92adc3cd9","version_number":2,"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":"69e6f48f8588a8292d2acee03d6f890ea711c58f49e36e845315721dfcf8a292","raw_url":"https://app.decimal.ai/s/statspai-skill/SKILL.md","scorecard_url":"https://app.decimal.ai/skills/statspai-skill"}