Individual skill

scikit-survival

Builds, evaluates, and audits right-censored or competing-risk survival workflows with scikit-survival, including leakage-safe preprocessing, model selection, probability prediction, and censoring-aware metrics.

skills/scikit-survival/SKILL.md

Read pinned source

Source commit 2d2065fb4520fa3f3f2bcf61cff26ec8b7eba4b5

What was checked

Matches the observed repository HEAD
Yes
Scanner rules are current
Yes
Repository scan complete
No
Skill scan complete
No
Observed behavior
Network or broad shell
Last checked
Nov 10, 2026

These are observations at the recorded commit, not a guarantee of safety. Review the source before running it.

Install this skill

Choose an agent in your Stack or copy a command below. Commands fetch the pinned commit and copy only this skill directory. Existing destinations are refused. Copying a command does not install anything.

An install command is unavailable: current rules, complete repository and skill scans, an eligible behavior level and a permitted license are required.

Repository context

Repository stars (not skill ratings)
56,837
Repository last updated
Nov 9, 2026
License
MIT

Observed agent integration: No specific integration evidence. Standard SKILL.md installation does not imply verified compatibility.

Files and excerpt

File metadata and permitted, redacted excerpts come from the recorded scan. Source links are pinned to that commit.

Browse files
Read excerpt

# scikit-survival

## Scope

Use this skill for scikit-survival 0.28.0 workflows involving:

- right-censored structured outcomes;
- Cox PH, Coxnet, IPC ridge, survival trees, forests, boosting, and SVMs;
- discrimination, prediction error, calibration-oriented checks, and time-dependent prediction;
- nonparametric cumulative incidence with competing risks;
- scikit-learn pipelines, nested model selection, and reproducible reports.

scikit-survival primarily models right-censored outcomes. Its built-in competing-risk
support is nonparametric cumulative incidence; it does not provide Fine-Gray regression.
Back to top