Agent skill

Radiology Stats

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

Plan/compute/audit inference on defined data/effect rows: CI, AUC, MRMC, survival, meta-analysis and power.

Custom licenceAuto-check passed

Install Radiology Stats

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

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

GitHub CLI
$ gh skill install huang-sir1/radiology-skills radiology-stats --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-stats .claude/skills/radiology-stats && 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-stats
GitHub stars
1.9k
Token cost
~4.5k tokens
SKILL.md length
1,796 words
Files
24 (incl. scripts, references)
Skills in repo
39
Repo updated
First seen
Licence
Custom licence

At a glance

Plan/compute/audit inference on defined data/effect rows: CI, AUC, MRMC, survival, meta-analysis and power.

  • Works in 11 steps: Declare route, evidence and execution… → Restate the design and hierarchy —… → Pick the estimand and model/test using… → …
  • SKILL.md covers Core stance, Choose the route, When to use and When to open extra files, plus 4 more sections
  • Runs PowerShell scripts from its folder

What it does

Radiology Stats is an agent skill from huang-sir1/radiology-skills. Plan/compute/audit inference on defined data/effect rows: CI, AUC, MRMC, survival, meta-analysis and power. CN: 统计、样本量、AUC比较、校准

Its SKILL.md is about 4.5k tokens, which your agent loads only when the skill is triggered. The skill folder holds 26 other files, including scripts and reference files (for example `README.md`, `agents/openai.yaml` and `references/agreement-mrmc.md`).

Example prompts

  • “/radiology-stats”

Requirements

  • PowerShell

Workflow steps

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

  1. Declare route, evidence and execution state. Inventory the supplied protocol, effect rows,
  2. Restate the design and hierarchy — independent experimental unit, patient/lesion/slice/
  3. Pick the estimand and model/test using the route reference. Name the population quantity,
  4. Choose the uncertainty method (e.g. Wilson/Clopper-Pearson for single-study proportions; DeLong or
  5. Handle dependence, missingness, exclusions, attrition and deviations before looking at significance;
  6. Handle multiplicity — declare the primary analysis; correct the rest (method + family).
  7. Run the stop gate. If an estimand, independent/allocation unit, dependence structure, effect
  8. Specify, then run only when ready. Complete the route template. Provide code/configuration and
  9. Write the result — a _Radiology_-style sentence (estimate, CI, p, n) plus a Methods
  10. Sanity-check — does the interval width align with information size? is the model paired,
  11. In mentor mode, do not prescribe a larger model or sample by fashion. Separate

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/ (PowerShell, from the files we listed), 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 Stats loads about 4.5k tokens when it runs, and up to ~29k if it reads all its reference files. Until then it costs about 36 tokens; SKILL.md has 1,796 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
~4.5k
With references · SKILL.md plus every file in references/, read only if the agent opens them
~29k

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 1,796 words (~4,478 tokens).

“Use this skill to choose the right test, run it correctly, and report it the way Radiology wants — estimates with 95% CIs, exact p-values, named tests, and multiplicity handled. It covers the statistics that imaging-AI, radiomics, and reader studies…”

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

Read the full SKILL.md on GitHub

Files

SKILL.md and 23 other files (scripts, references) in radiology-skills/skills/radiology-stats of huang-sir1/radiology-skills.

  • SKILL.md
  • README.md
  • agents/openai.yaml
  • references/agreement-mrmc.md
  • references/analysis-hierarchy-and-missingness.md
  • references/causal-and-clinical-impact-inference.md
  • references/diagnostic-accuracy.md
  • references/experimental-inference-and-power.md
  • references/high-dimensional-omics.md
  • references/incremental-value.md
  • references/longitudinal-and-multistate-imaging.md
  • references/meta-analysis-inference.md
  • references/method-comparison-and-sensitivity.md
  • references/model-evaluation.md
  • references/quantitative-imaging-measurement-science.md
  • references/sample-size.md
  • references/survival-prognostic.md
  • scripts/validate_stats_skill.ps1
  • … and 6 more

Open the folder on GitHubat commit aaa0fe6

Compare with similar skills

Radiology Stats 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 Stats compared with similar skills
SkillStarsUsed inTokensAuto-checkLicenceRepo updated
Radiology Stats this skillhuang-sir1/radiology-skills1.9k—~4.5kAutomated safety check: PassCustom licence
Computational Inferencebrycewang-stanford/Auto-Empirical-Research-Skills4.6k—~3.8kAutomated safety check: PassCustom licence
Ito Inferenceaffaan-m/ECC277k1 repos~1.5kAutomated safety check: PassMIT
Ito Computeaffaan-m/ECC277k1 repos~1.7kAutomated safety check: PassMIT
Wrdn Effect Schema Inferred TypesUsefulSoftwareCo/executor4.1k—~1kAutomated safety check: NotesMIT
Wrdn Effect Value Inferred TypesUsefulSoftwareCo/executor4.1k—~805Automated safety check: NotesMIT

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Questions about Radiology Stats

What does Radiology Stats do?

Plan/compute/audit inference on defined data/effect rows: CI, AUC, MRMC, survival, meta-analysis and power. Radiology Stats is an agent skill from huang-sir1/radiology-skills. Plan/compute/audit inference on defined data/effect rows: CI, AUC, MRMC, survival, meta-analysis and power.

How do I install Radiology Stats in Claude Code?

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

How do I install Radiology Stats in Codex?

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

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

What does Radiology Stats need to run?

Going by SKILL.md and its folder, Radiology Stats needs PowerShell for the scripts in its folder. Our summary lists: PowerShell.

Does Radiology Stats 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 Stats 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 Stats use?

Radiology Stats 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 Stats use?

About 4.5k tokens (SKILL.md is roughly 18k 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 24k tokens, read only when the agent opens those files.

What are the alternatives to Radiology Stats?

Skills that share tags, products or a category with Radiology Stats: Computational Inference (brycewang-stanford/Auto-Empirical-Research-Skills, 4.6k stars), Ito Inference (affaan-m/ECC, 277k stars), Ito Compute (affaan-m/ECC, 277k stars) and Wrdn Effect Schema Inferred Types (UsefulSoftwareCo/executor, 4.1k stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.

Who maintains Radiology Stats?

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.