Agent skill

Radiology Radiomics

by huang-sir1 in huang-sir1/radiology-skills

Design/audit radiomics preprocessing, IBSI extraction, stability, leakage-safe selection and validation.

Custom licenceAuto-check passedMedia & Creative

Install Radiology Radiomics

skills CLI
$ npx skills add huang-sir1/radiology-skills --skill radiology-radiomics -a claude-code

Project install by default; add -g for ~/.claude/skills/.

GitHub CLI
$ gh skill install huang-sir1/radiology-skills radiology-radiomics --agent claude-code

Project scope by default; add --scope user for a personal install. Needs GitHub CLI 2.90.0 or later (public preview).

Manual copy
$ git clone --depth 1 https://github.com/huang-sir1/radiology-skills.git skills-src && mkdir -p .claude/skills && cp -r skills-src/radiology-skills/skills/radiology-radiomics .claude/skills/radiology-radiomics && rm -rf skills-src

Use ~/.claude/skills/ instead of .claude/skills for a personal install. The folder must contain SKILL.md.

Claude Code skills documentation · loads skills from .claude/skills/

Facts

Skill name
radiology-radiomics
GitHub stars
1.9k
Token cost
~1.9k tokens
SKILL.md length
741 words
Files
9 (incl. references)
Skills in repo
39
Repo updated
First seen
Licence
Custom licence

At a glance

Design/audit radiomics preprocessing, IBSI extraction, stability, leakage-safe selection and validation.

  • Works in 8 steps: Confirm the design (reuse… → Segmentation & stability — masks and… → Preprocessing (preprocessing-ibsi.md) —… → …
  • Tasks that involve Design review and critique
  • SKILL.md covers Core stance, When to use, When to open extra files and Workflow, plus 3 more sections
  • Runs Python scripts from its folder

What it does

Radiology Radiomics is an agent skill from huang-sir1/radiology-skills. Design/audit radiomics preprocessing, IBSI extraction, stability, leakage-safe selection and validation.

Its SKILL.md is about 1.9k tokens, which your agent loads only when the skill is triggered. The skill folder holds 11 other files, including reference files (for example `README.md`, `agents/openai.yaml` and `references/feature-extraction.md`).

It sits in Media & Creative, covering Design review and critique.

When your agent uses it

  • Tasks that involve Design review and critique

Example prompts

  • “/radiology-radiomics”

Requirements

  • Python 3

Workflow steps

8 steps, taken from the first numbered list in SKILL.md.

  1. Confirm the design (reuse radiology-design) — endpoint, independent unit/hierarchy,
  2. Segmentation & stability — masks and reproducibility from radiology-annotation, which owns
  3. Preprocessing (preprocessing-ibsi.md) — resample, normalise, discretise (state bin
  4. Extraction (feature-extraction.md) — feature families, PyRadiomics (or equivalent) +
  5. Selection & modelling (selection-modelling.md) — selection inside CV/training only;
  6. Validate — internal (nested CV/bootstrap) + external/temporal/geographic; report
  7. Freeze reproducibility artifacts (reproducibility-artifacts.md) — split/run manifest,
  8. Audit leakage (leakage-audit.md) and write Methods to CLEAR/IBSI.

What it can do on your machine

Read from SKILL.md and the folder at commit aaa0fe6. It shows what the files ask for, not the result of running them.

  • Tool permissions

    Pre-approves nothing: there is no allowed-tools line, so your agent's usual permission prompts apply.

    From allowed-tools in the SKILL.md frontmatter.

  • Runs code

    Ships script files (Python), which the agent can run.

    From the folder's file list and the shell code blocks in SKILL.md.

  • Network

    No URLs in SKILL.md.

    From URLs in SKILL.md, links to its own repository left out.

  • Credentials

    Names no API keys, tokens, secrets or passwords.

    From names ending in _API_KEY, _TOKEN, _SECRET, _KEY or _PASSWORD in SKILL.md.

Context cost

Radiology Radiomics loads about 1.9k tokens when it runs, and up to ~7.1k if it reads all its reference files. Until then it costs about 31 tokens; SKILL.md has 741 words of instructions outside code blocks.

Always · name and description, kept in context so the agent knows when to use it
~31
When it runs · the whole SKILL.md, loaded when a task matches
~1.9k
With references · SKILL.md plus every file in references/, read only if the agent opens them
~7.1k

Estimates: characters ÷ 4, the usual rule of thumb; real counts depend on the model's tokenizer. Scripts and assets cost tokens only if the agent reads them.

Safety

Auto-check passed

The automated check found no risky patterns in SKILL.md.

Automated static check — not a guarantee. Review scripts before installing. It scans the text of SKILL.md for risky patterns (piping downloads into a shell, reading credential files, hidden Unicode, destructive commands); files beside SKILL.md are not scanned.

SKILL.md

Its licence (Custom licence) doesn't allow us to republish the file, so here is its outline and opening line. It has 741 words (~1,898 tokens).

“Use this skill to build (or audit) a hand-crafted radiomics study that is reproducible and leakage-free, from preprocessing through validation. Radiomics papers are desk-rejected for the same recurring reasons: non-standardised features, segmentation not characterised, and data leakage in selection/normalisation. This…”

— opening of SKILL.md by huang-sir1, Custom licence
name
radiology-radiomics

Read the full SKILL.md on GitHub

Files

SKILL.md and 8 other files (references) in radiology-skills/skills/radiology-radiomics of huang-sir1/radiology-skills.

  • SKILL.md
  • README.md
  • agents/openai.yaml
  • references/feature-extraction.md
  • references/leakage-audit.md
  • references/preprocessing-ibsi.md
  • references/reproducibility-artifacts.md
  • references/selection-modelling.md
  • tests/test_radiomics_boundary_contracts.py

Open the folder on GitHubat commit aaa0fe6

Compare with similar skills

Radiology Radiomics next to the 5 skills that share the most tags, products or categories with it. Stars are the repository's; “used in” counts other GitHub owners with a copy.

Radiology Radiomics compared with similar skills
SkillStarsUsed inTokensAuto-checkLicenceRepo updated
Radiology Radiomics this skillhuang-sir1/radiology-skills1.9k—~1.9kAutomated safety check: PassCustom licence
Consult ClaudeEpicenterHQ/epicenter4.8k—~2kAutomated safety check: PassCustom licence
System Atlasinkboard/system-atlas430—~2.3kAutomated safety check: PassMIT
Design Image Studiokangarooking/design-image-studio102—~1.5kAutomated safety check: PassMIT
Kicad Reviewmixelpixx/Konnect927—~3.2kAutomated safety check: PassAGPL-3.0
Design AuditUniClipboard/UniClipboard1.9k—~554Automated safety check: PassAGPL-3.0

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Questions about Radiology Radiomics

What does Radiology Radiomics do?

Design/audit radiomics preprocessing, IBSI extraction, stability, leakage-safe selection and validation. Radiology Radiomics is an agent skill from huang-sir1/radiology-skills. Design/audit radiomics preprocessing, IBSI extraction, stability, leakage-safe selection and validation.

When should I use Radiology Radiomics?

Radiology Radiomics fits situations like: tasks that involve Design review and critique.

How do I install Radiology Radiomics in Claude Code?

Run `npx skills add huang-sir1/radiology-skills --skill radiology-radiomics -a claude-code`. Or copy the skill folder (radiology-skills/skills/radiology-radiomics in huang-sir1/radiology-skills) into .claude/skills/radiology-radiomics in your project. Claude Code loads it when a task matches its description.

How do I install Radiology Radiomics in Codex?

Run `npx skills add huang-sir1/radiology-skills --skill radiology-radiomics -a codex`. Or copy the skill folder (radiology-skills/skills/radiology-radiomics in huang-sir1/radiology-skills) into .agents/skills/radiology-radiomics in your project. Codex loads it when a task matches its description.

Can I use Radiology Radiomics in Cursor, Gemini CLI or GitHub Copilot?

Cursor, Gemini CLI, GitHub Copilot and OpenCode also load SKILL.md folders. With the skills CLI, run `npx skills add huang-sir1/radiology-skills --skill radiology-radiomics -a cursor` (or -a gemini-cli, github-copilot or opencode for the others). To copy it by hand, put the folder in .cursor/skills/radiology-radiomics, .gemini/skills/radiology-radiomics, .github/skills/radiology-radiomics and .opencode/skills/radiology-radiomics in your project.

What does Radiology Radiomics need to run?

Going by SKILL.md and its folder, Radiology Radiomics needs Python for the scripts in its folder. Our summary lists: Python 3.

Does Radiology Radiomics access the network?

SKILL.md contains no URLs. Any network use would come from the scripts or tools the agent runs. This is read from the text; nothing was executed.

Is Radiology Radiomics safe to install?

Our automated static check of SKILL.md found no risky patterns, such as piping downloads into a shell, reading credential files or hidden Unicode. It is not a guarantee. Review the folder before installing.

What licence does Radiology Radiomics use?

Radiology Radiomics has a licence file (the repository's licence) that doesn't match a standard licence. Read it on GitHub before reusing the skill.

How many tokens does Radiology Radiomics use?

About 1.9k tokens (SKILL.md is roughly 7.6k characters). Agents keep only the skill's name and description in context until a task matches; then they load SKILL.md in full. Its references folder adds about 5.2k tokens, read only when the agent opens those files.

What are the alternatives to Radiology Radiomics?

Skills that share tags, products or a category with Radiology Radiomics: Consult Claude (EpicenterHQ/epicenter, 4.8k stars), System Atlas (inkboard/system-atlas, 430 stars), Design Image Studio (kangarooking/design-image-studio, 102 stars) and Kicad Review (mixelpixx/Konnect, 927 stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.

Who maintains Radiology Radiomics?

huang-sir1 (a GitHub user) maintains it in huang-sir1/radiology-skills, which has 1,923 GitHub stars. The repository holds 39 skills in this directory. The repository was last updated on September 21, 2026.

Source: huang-sir1/radiology-skills on GitHub. Facts on this page come from the repository at the commit we read; the author's words are quoted as theirs.