Agent skill · research science · aiskillstore
scikit-survival
Comprehensive toolkit for survival analysis and time-to-event modeling in Python using scikit-survival. Use this skill when working with censored survival data, performing time-to-event analysis, fitting Cox models, Random Survival Forests, Gradient Boosting models, or Survival SVMs, evaluating survival predictions with concordance index or Brier score, handling competing risks, or implementing any survival analysis workflow with the scikit-survival library.
Why this skill is useful
Provides specialized knowledge and commands for survival analysis that the AI wouldn't reliably generate on its own.
What it needs
Requires scikit-learn, scikit-survival installed locally. About 7k tokens when loaded. Last updated 2026-08-07. 405 stars on the source repository.
What this skill does
scikit-survival: Survival Analysis in Python Overview scikit-survival is a Python library for survival analysis built on top of scikit-learn. It provides specialized tools for time-to-event analysis, handling the unique challenge of censored data where some observations are only partially known. Survival analysis aims to establish connections between covariates and the time of an event, accounting for censored records (particularly right-censored data from studies where participants don't experience events during observation periods). When to Use This Skill Use this skill when: Performing survival analysis or time-to-event modeling Working with censored data (right-censored, left-censored, or interval-censored) Fitting Cox proportional hazards models (standard or penalized) Building ensemble survival models (Random Survival Forests, Gradient Boosting) Training Survival Support Vector Machines Evaluating survival model performance (concordance index, Brier score, time-dependent AUC) Estimating Kaplan-Meier or Nelson-Aalen curves Analyzing competing risks Preprocessing survival data or handling missing values in survival datasets Conducting any analysis using the scikit-survival library Core Capabilities 1. …
How to use it
Reference it in AdaL, Claude Code, Cursor or any coding agent — nothing to install:
@skills aiskillstore/scikit-survival