tooluniverse-statistical-modeling

tooluniverse-statistical-modeling is a Statistical modelling skill for AI agents, published by FreedomIntelligence in the OpenClaw-Medical-Skills repository on GitHub. Skillspace rates tooluniverse-statistical-modeling C (77/100) and it passed the safety scan; a judge model has also reviewed it.

Perform statistical modeling and regression analysis on biomedical datasets. Supports linear regression, logistic regression (binary/ordinal/multinomial), mixed-effects models, Cox proportional hazards survival analysis, Kaplan-Meier estimation, and comprehensive model diagnostics. Extracts odds ratios, hazard ratios, confidence intervals, p-values, and effect sizes. Designed to solve BixBench statistical reasoning questions involving clinical/experimental data. Use when asked to fit regression models, compute odds ratios, perform survival analysis, run statistical tests, or interpret model coefficients from provided data.

Grade
C
Quality
77 / 100
Safety
Passed
GitHub stars
2,848

Placed #3 of 6 in the judged category final for Statistical modelling.

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

Our review

Architecture
93 / 100
Maturity
Structured: ships references or scripts
Security scan
No issues found
License
Not declared. Check the repository before reusing it.
Adoption
Adopted by 3 other repositories, in 11 collections
Scope
Portable: works in any project. General biomedical statistical modeling methods; no repo-specific dependency

Judge review

Placed #3 of 6 in the judged category final for Statistical modelling.

  • Trigger8282
  • Instructions8585
  • Specificity8888
  • Safety8585
  • Disclosure7070
  • Maintenance8080
A documented real mistake (outcome-variable confusion in a named benchmark case) is a rare, concrete signal that this skill was debugged against actual failures.

Not checked yet

  • No blind task eval yet
  • Sibling files (scripts, references) not fetched; security scan covers SKILL.md only

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