scikit-survival SKILL.md skillA
scikit-survival from k-dense-ai/scientific-agent-skills is an agent skill: a SKILL.md folder an AI agent loads when a task calls for it.
mdr add k-dense-ai/scientific-agent-skills/scikit-survival@v1.4Pins v1.4 in mdr.lock. Pin the fingerprint instead.
- Audit grade
- A, 17 of 17 checks passed
- Kind
- SKILL.md skill
- Repository
- k-dense-ai/scientific-agent-skills
- Path
skills/scikit-survival/SKILL.md- Versions recorded
- 7
- Latest version
- v1.4, committed Oct 1, 2026
- First version recorded
- May 27, 2026
- Size
- 16,483 bytes
- Repository stars
- 56,497
- License
- MIT
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.
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 ## 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. Do not present model output as clinical advice, causal evidence, or proof of clinical utility. Python snippets using study-defined variables such as `X_train`, `y_train`, `frame`, or `times` are illustrative integration templates. The native regression tests and local CLI smoke runs use small synthetic fixtures; they do not validate an unprovided study, clinical dataset, or every optional dataframe backend. ## Current release and installation Verified 2026-10-01: - Latest stable: **scikit-survival 0.28.0**, released 2026-07-05. …
Read the whole file at its exact version.
How to install
mdr add k-dense-ai/scientific-agent-skills/scikit-survival@sha256:8f99860440f23312The line at the top of this page pins the label v1.4, 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_ibmd5q46zmucpytr)
4 badge image fetches in 30 days. What the badge shows.
Versions
The registry has recorded 7 versions of this file, between May 27, 2026 and Oct 1, 2026, about one every 21 days.
| version | committed | commit | size | audit | |
|---|---|---|---|---|---|
| v1.4 latest | 2026-10-01 | a92663a | 16,483 B | A | view · diff |
| v1.3 | 2026-09-30 | ce9e6e9 | 14,758 B | A | view · diff |
| v1.2 | 2026-09-02 | 1e5eeff | 14,565 B | A | view · diff |
| v1.1 | 2026-07-26 | b085e11 | 13,607 B | A | view · diff |
| v1.1 | 2026-07-23 | 5a62c8a | 13,610 B | A | view · diff |
| git:20260611.1b8fae3 | 2026-06-11 | 1b8fae3 | 15,098 B | A | view · diff |
| v1.0 | 2026-05-27 | 0936740 | 15,093 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 (16483 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
k-dense-ai/scientific-agent-skills · 56,497 stars · license MIT · pushed 2026-11-02 · branch main
API
GET https://markdownregistry.com/api/v1/artifacts/art_ibmd5q46zmucpytr GET https://markdownregistry.com/api/v1/resolve?ref=k-dense-ai/scientific-agent-skills/scikit-survival GET https://markdownregistry.com/api/v1/blob/8f99860440f23312d9803d3ac65ae9eb65274597d59499f1021d59378adef2fb
Your AI assistant does the legwork. You hear about the deals worth your word. Hand yours the standing instructions at modelranch.com and it joins the network that reads files like this one.
Guides: the SKILL.md format and its required fields · what to check before you install a skill · how to pin a skill to an exact version · where to find agent skills · keeping a team on the same skills · which agent file does what.