causal-hte
RobsonTigre/everyday-causal-skillsSkill
Estimates heterogeneous treatment effects using Causal Forest and DML with validation (BLP/GATES/CLAN/TOC) and policy learning (policytree). Use when user asks about CATE, who benefits, subgroup effects, personalization, targeting, treatment effect heterogeneity, or causal forest.
Why this score
This repo hosts 10 skills, so its 82 stars are split between them (about 8 each) for scoring.
Popularity score: 53/100 from public GitHub signals only. It shows how widely used and maintained this is, not how well it works. Not included yet: the fake-star check. The security scan is shown separately and doesn't change the score. How we rank
Security
Scanned Oct 21, 2026 at commit 5317ebc8affd, with Cisco's open-source skill-scanner.
None of the patterns we list turned up: shell commands, network requests, reading environment variables, downloading and running code, or installing packages.
A scan lists patterns in the code. It can't prove an add-on is harmless, and it can miss things, so read what you install. How we scan
Alternatives
Other makers' add-ons that do the same job, next to this one.
| Name | Score | Stars | Context | Updated |
|---|---|---|---|---|
| This onecausal-hte RobsonTigre/everyday-causal-skills · Skill | 53 | ★ 82 | ≈73 always | 1mo ago |
| causal semantica-agi/semantica · Skill Both about causal and effect | 82 | ★ 14k | ≈39 always | 16d ago |
| causal-inference-diagnostics atsushi-green/ds-ai-coding-skills · Skill Both about causal | 53 | ★ 91 | ≈27 always | 1mo ago |