Skill audit report

EconML audit report.

ALICE (Automated Learning and Intelligence for Causation and Economics) is a Microsoft Research project aimed at applying Artificial Intelligence concepts to economic decision making. One of its goals is to build a toolkit that combines state-of-the-art machine learning techniques with econometrics in order to bring automation to complex causal inference problems. To date, the ALICE Python SDK (econml) implements orthogonal machine learning algorithms such as the double machine learning work of Chernozhukov et al. This toolkit is designed to measure the causal effect of some treatment variable(s) t on an outcome variable y, controlling for a set of features x.

REVIEWEDREVIEWSafe to tryGenerated Jun 16, 2026Heuristic metadata audit
94
Audit
91
Trust
100
Quality
89
Security
100
Maintain
92
Install

OpenAgentSkill Trust Score

91
Production candidate

Stars, maintenance, license, docs, dependency risk, and installability.

The Trust Score is OpenAgentSkill's adoption layer. It is designed to help an agent decide whether a skill is safe enough to shortlist before installation.

GitHub adoption

PASS

86

4.7K GitHub stars

Recent maintenance

PASS

100

Pushed today

License clarity

WARN

42

Unknown

README/SKILL.md completeness

PASS

90

Metadata includes enough usage and workflow context

Dependency risk

PASS

90

no major dependency risk hints in public metadata

Install availability

PASS

92

npx skills add py-why/EconML

Repository evidence

PASS

86

https://github.com/py-why/EconML

Review status

PASS

88

AI review data available

Checks

Install and adoption review

7 passed 路 3 review

Install path

92

PASS

npx skills add py-why/EconML

Repository

88

PASS

https://github.com/py-why/EconML

License

45

CHECK

Unknown

Maintenance

100

PASS

Pushed today

AI review

88

PASS

Approved with no listed issues

README/SKILL.md completeness

90

PASS

Usable description available

Dependency risk

90

PASS

no major dependency risk hints in public metadata

Adoption

88

PASS

4.7K GitHub stars

Warnings

  • License is unclear
  • License clarity: Unknown

Method

This report combines public metadata, AI review output, repository freshness, install readiness, OpenAgentSkill events, quality scoring, trust checks, and the agent safety gate. It is not a full source-code security review.

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