dowhy-average-treatment-effect-starter — independently scanned and version-tracked by SaferSkills.
SaferSkills independently audited dowhy-average-treatment-effect-starter (Agent Skill) and scored it 100/100 (green). The audit ran 55 deterministic rules across Security, Supply Chain, Maintenance, Transparency, and Community; it found 0 high-severity and 0 lower-severity findings. The full rule-by-rule trace and per-finding evidence are below. Free, methodology-open.
Findings & checks · 0 flagged
Every scanned point with the score it earned and what moved between them.
First recorded scan — no prior version to compare against.
The primary manifest — the file an agent reads to learn what this artifact does.
Use this skill to estimate a deterministic toy average treatment effect with DoWhy and summarize a simple placebo refutation.
slurm/envs/causal/bin/python skills/statistical-and-machine-learning-foundations-for-science/dowhy-average-treatment-effect-starter/scripts/run_dowhy_average_treatment_effect.py \
--out scratch/dowhy/average_treatment_effect_summary.jsonpython3 -m unittest discover -s skills/statistical-and-machine-learning-foundations-for-science/dowhy-average-treatment-effect-starter/tests -p 'test_*.py'python3 -m unittest tests.smoke.test_phase24_frontier_closure_skills -v~30 seconds. Free. No account. Every finding cites a rule and a line of evidence.