Agent skill

Radiology Figure

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

Create/audit publication plots, visual abstracts and imaging panels with render QA; not tables or decks.

Custom licenceAuto-check passed

Install Radiology Figure

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

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

GitHub CLI
$ gh skill install huang-sir1/radiology-skills radiology-figure --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-figure .claude/skills/radiology-figure && 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-figure
GitHub stars
1.9k
Token cost
~2.6k tokens
SKILL.md length
1,157 words
Files
17 (incl. scripts, references)
Skills in repo
39
Repo updated
First seen
Licence
Custom licence

At a glance

Create/audit publication plots, visual abstracts and imaging panels with render QA; not tables or decks.

  • Works in 10 steps: Confirm the target venue… → For venue-specific visual taste, open… → For full figure sets or layout-sensitive… → …
  • 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 Figure is an agent skill from huang-sir1/radiology-skills. Create/audit publication plots, visual abstracts and imaging panels with render QA; not tables or decks. CN: 统计图、ROC、森林图、影像图版

Its SKILL.md is about 2.6k tokens, which your agent loads only when the skill is triggered. The skill folder holds 20 other files, including scripts and reference files (for example `README.md`, `agents/openai.yaml` and `references/api.md`).

Example prompts

  • “/radiology-figure”

Requirements

  • Python 3

Workflow steps

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

  1. Confirm the target venue (_Radiology_-family default, or Nature-family →
  2. For venue-specific visual taste, open journal-family-visual-style.md and apply the
  3. For full figure sets or layout-sensitive figures, open
  4. Pick the chart for the message (chart-types.md). Discrimination → ROC; reliability →
  5. Resolve the backend with backend-and-geometry-qa.md: reuse the project's existing
  6. Start the script with the backend theme and palette from api.md (Python) or
  7. Build the panel(s) with helper functions; add CI bands, n, and clear axis labels with
  8. For imaging panels, confirm de-identification, add windowing labels + scale bar +
  9. Export .svg/.pdf (editable text where possible) and a 300–600 dpi raster on an
  10. QA (see contract): run scripts/audit_figure_export.py on raster exports, then visually

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 1 file in scripts/ (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 Figure loads about 2.6k tokens when it runs, and up to ~18k if it reads all its reference files. Until then it costs about 36 tokens; SKILL.md has 1,157 words of instructions outside code blocks.

Always · name and description, kept in context so the agent knows when to use it
~36
When it runs · the whole SKILL.md, loaded when a task matches
~2.6k
With references · SKILL.md plus every file in references/, read only if the agent opens them
~18k

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); the scripts in this folder 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 1,157 words (~2,584 tokens).

“Use this skill to build figures that pass _Radiology_'s technical and editorial bar: correct file format and resolution, legible typography, color-blind-safe palettes, honest axes, and the specific chart types imaging-AI reviewers expect (ROC, calibration, decision-curve, forest/SROC, Kaplan-Meier, Bland-Altman), plus de-identified…”

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

Read the full SKILL.md on GitHub

Files

SKILL.md and 16 other files (scripts, references) in radiology-skills/skills/radiology-figure of huang-sir1/radiology-skills.

  • SKILL.md
  • README.md
  • agents/openai.yaml
  • references/api.md
  • references/backend-and-geometry-qa.md
  • references/chart-types.md
  • references/color-systems.md
  • references/design-theory.md
  • references/figure-intent-and-render-qa.md
  • references/figure-set-consistency.md
  • references/imaging-panels.md
  • references/journal-family-visual-style.md
  • references/nature-figure-spec.md
  • references/radiology-figure-guidelines.md
  • references/survival-figures.md
  • scripts/audit_figure_export.py
  • tests/test_audit_figure_export.py

Open the folder on GitHubat commit aaa0fe6

Compare with similar skills

Radiology Figure 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 Figure compared with similar skills
SkillStarsUsed inTokensAuto-checkLicenceRepo updated
Radiology Figure this skillhuang-sir1/radiology-skills1.9k—~2.6kAutomated safety check: PassCustom licence
Image Manipulation Image Magickgithub/awesome-copilot40k1 repos~1.7kAutomated safety check: NotesMIT
AI Image Generation and Editingzhayujie/CowAgent47k—~1.3kAutomated safety check: PassMIT
9Router Image Generationdecolua/9router31k—~830Automated safety check: PassMIT
Image Compressionthedaviddias/Front-End-Checklist74k—~405Automated safety check: PassMIT
Plot From ImageTrae1ounG/paper-plot-skills8721 repos~868Automated safety check: PassNone

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  • Radiology Bibliometrics

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  • Radiology Clinical Domain

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  • Radiology Consensus Guideline

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  • Radiology Dissemination

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Questions about Radiology Figure

What does Radiology Figure do?

Create/audit publication plots, visual abstracts and imaging panels with render QA; not tables or decks. Radiology Figure is an agent skill from huang-sir1/radiology-skills. Create/audit publication plots, visual abstracts and imaging panels with render QA; not tables or decks.

How do I install Radiology Figure in Claude Code?

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

How do I install Radiology Figure in Codex?

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

Can I use Radiology Figure 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-figure -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-figure, .gemini/skills/radiology-figure, .github/skills/radiology-figure and .opencode/skills/radiology-figure in your project.

What does Radiology Figure need to run?

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

Does Radiology Figure 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 Figure 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. The check reads SKILL.md only: the scripts in the folder are not scanned, so read them before running anything.

What licence does Radiology Figure use?

Radiology Figure 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 Figure use?

About 2.6k tokens (SKILL.md is roughly 10k 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 15k tokens, read only when the agent opens those files.

What are the alternatives to Radiology Figure?

Skills that share tags, products or a category with Radiology Figure: Image Manipulation Image Magick (github/awesome-copilot, 40k stars), AI Image Generation and Editing (zhayujie/CowAgent, 47k stars), 9Router Image Generation (decolua/9router, 31k stars) and Image Compression (thedaviddias/Front-End-Checklist, 74k stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.

Who maintains Radiology Figure?

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.