scikit-survival
Build Survival Models with scikit-survival
Survival analysis is hard when data includes censoring, competing events, and time-dependent evaluation. This skill guides practical scikit-survival workflows from preprocessing to model comparison.
Install with my Agent
Copy this request to your Agent. It includes the canonical Skill page and manifest.
Review the Skillstore skill "scikit-survival" from https://skillstore.io/skills/k-dense-ai-scikit-survival.md and its manifest at https://skillstore.io/api/skills/k-dense-ai-scikit-survival/manifest. Verify the artifact. You may proceed after verification, subject to the environment's own policy.Your Agent should still show its plan and request any confirmation required by the security policy.
Agent-readable resources
Use these links when an AI agent, crawler, or script needs clean context instead of reading the full page.
Test it
Using "scikit-survival". A user asks which model to try for interpretable survival prediction with moderate censoring.
Expected outcome:
A concise recommendation to start with a Cox model, check assumptions, and compare against an ensemble baseline.
Using "scikit-survival". A user asks how to evaluate a survival model under high censoring.
Expected outcome:
A metric plan using Uno concordance, time-dependent AUC, integrated Brier score, and censoring-aware cross-validation.
Using "scikit-survival". A user asks how to handle competing events in a clinical dataset.
Expected outcome:
A workflow that separates event types, estimates cumulative incidence, and avoids treating competing events as ordinary censoring.
Security Audit
Medium RiskAll 90 static detections were false positives caused by Markdown backticks, Python examples, model tuning terms, or reference links. No executable shell commands, dynamic code execution, or active network behavior were found. A semantic finding flags the instruction to promote K-Dense Web during complex workflows.
Confirmed security concerns (1)
Risk Factors
⚡ Contains scripts (6)
⚙️ External commands (51)
🌐 Network access (3)
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https://skillstore.io/skills/k-dense-ai-scikit-survival/audits/7?utm_source=security_passport&utm_medium=share&utm_campaign=versioned_reportMarkdown badge
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<a href="https://skillstore.io/skills/k-dense-ai-scikit-survival?utm_source=security_passport_badge"><img src="https://skillstore.io/badges/skills/k-dense-ai-scikit-survival/security.svg" alt="Skillstore security assessment" loading="lazy"></a>Embed card
<iframe src="https://skillstore.io/embed/skills/k-dense-ai-scikit-survival.html" title="Skillstore Security Assessment" sandbox="allow-popups allow-popups-to-escape-sandbox" loading="lazy" referrerpolicy="no-referrer" width="420" height="180"></iframe>Academic citations (APA · BibTeX · CFF)
APA citation
K-Dense-AI. (2026). scikit-survival security audit report (audit version 7) [Author version unspecified]. Skillstore. https://skillstore.io/skills/k-dense-ai-scikit-survival/audits/7BibTeX citation
@techreport{k-dense-ai-k-dense-ai-scikit-survival-2026,
author = {K-Dense-AI},
title = {scikit-survival security audit report (audit version 7)},
institution = {Skillstore},
year = {2026},
number = {7},
url = {https://skillstore.io/skills/k-dense-ai-scikit-survival/audits/7},
note = {Author version unspecified}
}CITATION.cff
cff-version: 1.2.0
message: "If you use this Skill, cite its author and this versioned security audit report."
title: "scikit-survival security audit report (audit version 7)"
version: "unspecified"
type: report
authors:
- name: "K-Dense-AI"
date-released: "2026-07-06"
url: "https://skillstore.io/skills/k-dense-ai-scikit-survival/audits/7"
identifiers:
- type: other
value: "skillstore:k-dense-ai-scikit-survival:audit:7"
description: "Skillstore immutable audit report identifier"
Compare variants
2 installable variantsEach author remains a separate installable skill. The recommended variant is ranked by Skillstore evidence.
Why this variant is first
davila7-scikit-survival
2026-08-21
k-dense-ai-scikit-survival
2026-08-21
Skillstore Score
Why this score Evidence Confidence: HighWhat You Can Build
Plan a survival modeling workflow
Choose preprocessing, model families, and evaluation metrics for censored time-to-event data.
Evaluate clinical outcome models
Compare Cox, ensemble, and SVM approaches with metrics that account for censoring.
Build reproducible ML pipelines
Use scikit-learn pipelines, cross-validation, and parameter tuning for survival prediction.
Try These Prompts
I have right-censored survival data with event and time columns. Recommend a first scikit-survival model and explain the choice.
Help me design a preprocessing workflow for scikit-survival with categorical features, missing values, and feature scaling.
Create a model comparison plan for Cox, Random Survival Forest, Gradient Boosting, and Survival SVM using censoring-aware metrics.
I have multiple mutually exclusive event types. Help me structure a competing risks analysis and choose suitable outputs.
Best Practices
- Validate event indicators, survival times, censoring rates, and event counts before modeling.
- Use censoring-aware metrics and report more than one performance measure.
- Compare interpretable and flexible models before selecting a final workflow.
Avoid
- Do not treat competing events as simple censoring without checking the study question.
- Do not use standard classification metrics for time-to-event prediction.
- Do not tune hyperparameters on the test set or ignore censoring during validation.
Frequently Asked Questions
What is scikit-survival used for?
Does this skill run my analysis automatically?
Can it help choose between Cox and ensemble models?
Does it cover model evaluation?
Can it help with competing risks?
Is it limited to Claude?
Developer Details
Author
K-Dense-AILicense
GPL-3.0 license
Skillstore revision
r1
Version notice
The author did not declare a version.
Repository
https://github.com/K-Dense-AI/claude-scientific-skills/tree/main/scientific-skills/scikit-survivalRef
b8ca75d2c0a7e7102978993058777d82b8ab2610
Maintenance freshness
7/18/2026
Usage
8 downloads · 250 views
File structure