scikit-survival-analysis SKILL.md skillA
scikit-survival-analysis from jaechang-hits/sciagent-skills is an agent skill: a SKILL.md folder an AI agent loads when a task calls for it.
mdr add jaechang-hits/sciagent-skills/scikit-survival-analysis@git:20260929.7a7d60fPins git:20260929.7a7d60f in mdr.lock. Pin the fingerprint instead.
- Audit grade
- A, 17 of 17 checks passed
- Kind
- SKILL.md skill
- Repository
- jaechang-hits/sciagent-skills
- Path
skills/biostatistics/scikit-survival-analysis/SKILL.md- Versions recorded
- 4
- Latest version
- git:20260929.7a7d60f, committed Sep 29, 2026
- First version recorded
- Feb 18, 2026
- Size
- 27,779 bytes
- Repository stars
- 381
- License
- a license file GitHub does not identify
Time-to-event modeling with scikit-survival: Cox PH (elastic net), Random Survival Forests, Boosting, SVMs for censored data. C-index, Brier, time-dependent AUC; Kaplan-Meier, Nelson-Aalen, competing risks. Pipeline/GridSearchCV compatible. Use statsmodels for frequentist, pymc for Bayesian, lifelines for parametric.
Collected from public GitHub. Every version is saved exactly as it was and never changes. Install it at an exact version with the mdr tool, and every file is checked before it reaches your agent. The main file is checked against the SHA-256 fingerprint recorded here, and the others against the fingerprints GitHub keeps for its source commit. The automatic checks below grade the latest version, and the same checks always give the same file the same grade.
What the file says
# scikit-survival -- Survival Analysis ## Overview scikit-survival is a Python library for time-to-event analysis built on scikit-learn. It handles right-censored data (observations where the event has not yet occurred) using Cox models, ensemble methods, survival SVMs, and non-parametric estimators. All models follow the scikit-learn `fit/predict` API and integrate with Pipelines, cross-validation, and GridSearchCV. ## When to Use - Modeling time-to-event outcomes with right-censored data (clinical trials, reliability) - Fitting Cox proportional hazards models (standard or elastic net penalized) - Building ensemble survival models (Random Survival Forest, Gradient Boosting) - Training survival SVMs for margin-based learning on medium-sized datasets - Evaluating survival predictions with censoring-aware metrics (C-index, Brier score, AUC) - Estimating non-parametric survival curves (Kaplan-Meier, Nelson-Aalen) - Analyzing competing risks with cumulative incidence functions - High-dimensional survival data with automatic feature selection (CoxNet L1/L2) - For **simpler parametric models** (Weibull, log-normal AFT) or statistical tests (log-rank), use `lifelines` …
Read the whole file at its exact version.
How to install
mdr add jaechang-hits/sciagent-skills/scikit-survival-analysis@sha256:564c989ea4359b6eThe line at the top of this page pins the label git:20260929.7a7d60f, which is what most people want. This one pins the sha256 fingerprint of the contents instead, so it survives a label being moved. Either way the exact version is written to mdr.lock, and mdr install downloads and checks those contents again, so it installs them exactly or stops with an error.
[](https://markdownregistry.com/a/art_wceyf63mozwx4fwj)
4 badge image fetches in 30 days. What the badge shows.
Versions
The registry has recorded 4 versions of this file, between Feb 18, 2026 and Sep 29, 2026, about one every 74 days.
| version | committed | commit | size | audit | |
|---|---|---|---|---|---|
| git:20260929.7a7d60f latest | 2026-09-29 | 7a7d60f | 27,779 B | A | view · diff |
| git:20260929.35fe6e3 | 2026-09-29 | 35fe6e3 | 27,828 B | A | view · diff |
| git:20260428.81ea2d2 | 2026-04-28 | 81ea2d2 | 25,689 B | A | view · diff |
| git:20260218.8df1694 | 2026-02-18 | 8df1694 | 25,834 B | A | view |
Audit of the latest version
- pass: Frontmatter block present
- pass: Frontmatter declares a name
- pass: Frontmatter declares a description
- pass: Size between 200 bytes and 200 KB (27779 bytes)
- pass: No zero-width or bidi control characters
- pass: No instruction hidden inside an HTML comment
- pass: No link to an exfiltration or paste host
- pass: No credential-shaped string
- pass: No instruction to send local credentials anywhere
- pass: No text hidden with inline styles
- pass: No prompt-injection phrasing
- pass: No curl or wget piped into a shell
- pass: No recursive delete of root, home or parent
- pass: No instruction to read or print local credentials
- pass: No base64 blob over 200 characters
- pass: No link to a raw IP address
- pass: No script tag
Source
jaechang-hits/sciagent-skills · 381 stars · license a license file GitHub does not identify · pushed 2026-10-16 · branch main
API
GET https://markdownregistry.com/api/v1/artifacts/art_wceyf63mozwx4fwj GET https://markdownregistry.com/api/v1/resolve?ref=jaechang-hits/sciagent-skills/scikit-survival-analysis GET https://markdownregistry.com/api/v1/blob/564c989ea4359b6e2e60218fa9e9b059d6b221f313200464621847c3e654c95f
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