empirical-analysis-skill-python

empirical-analysis-skill-python is a Statistical modelling skill for AI agents, published by Drchronx in the ai-agent-research-starter-kit repository on GitHub. Skillspace rates empirical-analysis-skill-python B (81/100) and it passed the safety scan; the rating is based on static analysis only.

Parameterized Python empirical-analysis and machine-learning workflow for applied economics, public health epidemiology, supervised ML, and ML causal inference. Use when the user asks for data cleaning, feature engineering, train/test/validation splits, feature matrix X and target y, Table 1, diagnostic tests, OLS/panel/IV-style formulas, LinearRegression, Ridge, Lasso, ElasticNet, decision trees, random forests, GBDT, regression/classification metrics, DID/event-study formulas, DML/double machine learning with LinearDML, causal forests, robustness checks, mechanism or heterogeneity analysis, mediation, publication-ready tables, figures, or an end-to-end empirical paper pipeline. The skill must route execution through fixed step scripts under scripts/ instead of writing ad hoc Python code in markdown.

Grade
B
Quality
81 / 100
Safety
Passed
GitHub stars
39

Unproven: rated by static analysis only, not yet compared head-to-head.

Our two independent classifiers differ on this skill's category, so treat the placement as provisional.

This rating describes the version of the repository we crawled; it may have changed since, so go by its current files.

Our review

Architecture
100 / 100
Maturity
Structured: ships references or scripts
Security scan
No issues found
License
Not declared. Check the repository before reusing it.
Adoption
Adopted by 0 other repositories, in 1 collections

Not checked yet

  • Not judged on the rubric yet (not a contender in its category)
  • No blind task eval yet
  • Scope (portable / vendor / repo-internal) not assessed; only the top of each category is read for scope
  • Sibling files (scripts, references) not fetched; security scan covers SKILL.md only

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