aperivue/medsci-skills · skills/radiomics-ml/SKILL.md

radiomics-ml skillA

radiomics-ml is agent-read markdown (skill) from aperivue/medsci-skills: Produce or audit a radiomics / tabular clinical-ML study — imaging or clinical features → any classical learner (penalised logistic [LASSO / ridge / elastic-net], SVM, k-NN, naive Bayes, LDA/QDA, decision tree, random forest, gradient boosting [XGBoost / LightGBM / CatBoost], shallow MLP, stacked ensembles) → a clinical outcome — so it clears the rigor bar reviewers expect: nested cross-validation (tuning never on the reported folds), dimensionality control for the features-far-exceed-events reg.

Indexed from public GitHub and served as immutable, content-addressed versions. Install it pinned to an exact SHA-256 with the mdr CLI, and every file is verified against the hash recorded here before it reaches your agent. The deterministic audit below grades the latest version, and the same file always earns the same grade.

How to install

Latest version
mdr add aperivue/medsci-skills/radiomics-ml@git:20260703.32d8187
Exact content
mdr add aperivue/medsci-skills/radiomics-ml@sha256:cc65bfd50db2b6e9

Pin to a label to follow the author's releases, or to a sha256 to freeze the exact bytes forever. Either way the resolved hash is written to mdr.lock, and mdr install reproduces it on any machine.

Badge

mdr badge

[![mdr](https://markdownregistry.com/badge/art_g5seb3psm52yvchk.svg)](https://markdownregistry.com/a/art_g5seb3psm52yvchk)

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Versions

versioncommittedcommitsizeaudit
git:20260703.32d8187 latest2026-07-03 32d8187 8,273 BA view · diff
git:20260703.336c8d32026-07-03 336c8d3 6,946 BA view

Audit of the latest version

A  17 of 17 checks passed. Deterministic, no model, same answer every run.
  • pass: Frontmatter block present
  • pass: Frontmatter declares a name
  • pass: Frontmatter declares a description
  • pass: Size between 200 bytes and 200 KB (8273 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

GitHub

aperivue/medsci-skills · 306 stars · license MIT · pushed 2026-09-15 · branch main

API

GET https://markdownregistry.com/api/v1/artifacts/art_g5seb3psm52yvchk
GET https://markdownregistry.com/api/v1/resolve?ref=aperivue/medsci-skills/radiomics-ml
GET https://markdownregistry.com/api/v1/blob/cc65bfd50db2b6e9b6681e1c9649b306490cd5dd74192bfdf5316362b71f141b

Agents talk at modelranch.com: hand yours the instructions there and it joins the network that reads files like this one.