Agent skill

Radiology Reporting

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

Select/audit reporting guidelines across imaging AI, diagnosis, reviews, guidelines and economics.

Custom licenceAuto-check passed

Install Radiology Reporting

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

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

GitHub CLI
$ gh skill install huang-sir1/radiology-skills radiology-reporting --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-reporting .claude/skills/radiology-reporting && 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-reporting
GitHub stars
1.9k
Token cost
~3.6k tokens
SKILL.md length
1,568 words
Files
18 (incl. scripts, references)
Skills in repo
39
Repo updated
First seen
Licence
Custom licence

At a glance

Select/audit reporting guidelines across imaging AI, diagnosis, reviews, guidelines and economics.

  • Works in 7 steps: Classify the study. Determine task… → Select and verify guideline(s) from the… → Load the relevant reference file(s) and… → …
  • SKILL.md covers Core stance, When to use, Routing — pick the… and When to open extra files, plus 5 more sections
  • Runs PowerShell scripts from its folder

What it does

Radiology Reporting is an agent skill from huang-sir1/radiology-skills. Select/audit reporting guidelines across imaging AI, diagnosis, reviews, guidelines and economics.

Its SKILL.md is about 3.6k tokens, which your agent loads only when the skill is triggered. The skill folder holds 21 other files, including scripts and reference files (for example `README.md`, `agents/openai.yaml` and `references/claim-2024.md`).

Example prompts

  • “/radiology-reporting”

Requirements

  • PowerShell

Workflow steps

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

  1. Classify the study. Determine task (classification / detection / segmentation /
  2. Select and verify guideline(s) from the routing table. State the official source,
  3. Load the relevant reference file(s) and audit every item. For each item record
  4. Prioritise fixes. Group into Blocker (will trigger major revision / desk reject),
  5. Cross-check integrity hot-spots (see below) — the items reviewers weaponise most.
  6. If the target is a Nature-portfolio venue, also complete the Reporting Summary /
  7. Return the filled checklist + a one-screen executive summary + the prioritised fix

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 2 files 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 Reporting loads about 3.6k tokens when it runs, and up to ~20k if it reads all its reference files. Until then it costs about 30 tokens; SKILL.md has 1,568 words of instructions outside code blocks.

Always · name and description, kept in context so the agent knows when to use it
~30
When it runs · the whole SKILL.md, loaded when a task matches
~3.6k
With references · SKILL.md plus every file in references/, read only if the agent opens them
~20k

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 1,568 words (~3,631 tokens).

“Use this skill to make an imaging study reviewer-proof on reporting. Radiology and the RSNA family require the relevant EQUATOR checklist at submission, and imaging-AI / radiomics papers are now judged against a specific, version-sensitive stack of guidelines. This skill…”

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

Read the full SKILL.md on GitHub

Files

SKILL.md and 17 other files (scripts, references) in radiology-skills/skills/radiology-reporting of huang-sir1/radiology-skills.

  • SKILL.md
  • README.md
  • agents/openai.yaml
  • references/claim-2024.md
  • references/clear-metrics-rqs.md
  • references/guideline-consensus-qualitative-economic-implementation.md
  • references/guideline-router.md
  • references/guideline-versions.md
  • references/ibsi-features.md
  • references/nature-reporting-summary.md
  • references/prisma-general-scoping.md
  • references/radiology-submission-map.md
  • references/stard-prisma-quadas.md
  • references/tripod-ai-probast.md
  • scripts/validate_prisma_routes.ps1
  • scripts/validate_quadas_currency.ps1
  • tests/prisma-routing-cases.json
  • … and 1 more

Open the folder on GitHubat commit aaa0fe6

Compare with similar skills

Radiology Reporting 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 Reporting compared with similar skills
SkillStarsUsed inTokensAuto-checkLicenceRepo updated
Radiology Reporting this skillhuang-sir1/radiology-skills1.9k—~3.6kAutomated safety check: PassCustom licence
Reportmicrosoft/data-formulator18k—~1.5kAutomated safety check: PassMIT
Image Manipulation Image Magickgithub/awesome-copilot40k1 repos~1.7kAutomated safety check: NotesMIT
SageMaker Serving Image Selectionhuggingface/skills11k1 repos~4.6kAutomated safety check: PassApache-2.0
AI Image Generation and Editingzhayujie/CowAgent47k—~1.3kAutomated safety check: PassMIT
Clinical Reportsdavila7/claude-code-templates33k11 repos~9.9kAutomated safety check: NotesMIT

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  • Radiology Clinical Domain

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  • Radiology Consensus Guideline

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Questions about Radiology Reporting

What does Radiology Reporting do?

Select/audit reporting guidelines across imaging AI, diagnosis, reviews, guidelines and economics. Radiology Reporting is an agent skill from huang-sir1/radiology-skills. Select/audit reporting guidelines across imaging AI, diagnosis, reviews, guidelines and economics.

How do I install Radiology Reporting in Claude Code?

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

How do I install Radiology Reporting in Codex?

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

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

What does Radiology Reporting need to run?

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

Does Radiology Reporting 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 Reporting 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 Reporting use?

Radiology Reporting 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 Reporting use?

About 3.6k tokens (SKILL.md is roughly 15k 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 16k tokens, read only when the agent opens those files.

What are the alternatives to Radiology Reporting?

Skills that share tags, products or a category with Radiology Reporting: Report (microsoft/data-formulator, 18k stars), Image Manipulation Image Magick (github/awesome-copilot, 40k stars), SageMaker Serving Image Selection (huggingface/skills, 11k stars) and AI Image Generation and Editing (zhayujie/CowAgent, 47k stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.

Who maintains Radiology Reporting?

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.