Agent skill

Radiology Polishing

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

Polish existing research prose while preserving facts and claims; not drafting or scientific repair.

Custom licenceAuto-check passed

Install Radiology Polishing

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

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

GitHub CLI
$ gh skill install huang-sir1/radiology-skills radiology-polishing --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-polishing .claude/skills/radiology-polishing && 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-polishing
GitHub stars
1.9k
Token cost
~1.3k tokens
SKILL.md length
596 words
Files
7 (incl. references)
Skills in repo
39
Repo updated
First seen
Licence
Custom licence

At a glance

Polish existing research prose while preserving facts and claims; not drafting or scientific repair.

  • Works in 9 steps: Confirm the target venue. Use the… → For venue-specific voice, open… → If the project has an author style… → …
  • SKILL.md covers Core stance, When to use, When to open extra files and Workflow, plus 3 more sections
  • Instructions only: no scripts, shell commands, URLs or credentials in SKILL.md

What it does

Radiology Polishing is an agent skill from huang-sir1/radiology-skills. Polish existing research prose while preserving facts and claims; not drafting or scientific repair.

Its SKILL.md is about 1.3k tokens, which your agent loads only when the skill is triggered. The skill folder holds 8 other files, including reference files (for example `README.md`, `agents/openai.yaml` and `references/radiology-house-style.md`).

Example prompts

  • “/radiology-polishing”

Workflow steps

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

  1. Confirm the target venue. Use the Radiology route only when it is selected or the manuscript
  2. For venue-specific voice, open venue-voice-and-house-style.md and apply the target
  3. If the project has an author style profile, read
  4. Identify the section (sets tense and expectations).
  5. Pass 1 — clarity: split long sentences, cut filler, fix vague verbs, ensure each
  6. Pass 2 — statistics & numbers: enforce estimate + CI, exact p, decimal/unit format,
  7. Pass 3 — house style: apply the selected venue's spelling, abbreviations, terminology and
  8. Pass 4 — guardrails: flag overclaiming, causal language unsupported by design,
  9. Return clean prose + a concise change log; list any flags the author must resolve.

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

    No scripts in the folder and no shell commands in SKILL.md.

    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 Polishing loads about 1.3k tokens when it runs, and up to ~5.4k if it reads all its reference files. Until then it costs about 30 tokens; SKILL.md has 596 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
~1.3k
With references · SKILL.md plus every file in references/, read only if the agent opens them
~5.4k

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 596 words (~1,297 tokens).

“Use this skill to take existing imaging, omics, pathology, perturbation or imaging–mechanism prose and make it precise, concise, correctly formatted and evidence-bounded in the selected venue's voice. The Radiology route is one venue route, not the default for standalone mechanism…”

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

Read the full SKILL.md on GitHub

Files

SKILL.md and 6 other files (references) in radiology-skills/skills/radiology-polishing of huang-sir1/radiology-skills.

  • SKILL.md
  • README.md
  • agents/openai.yaml
  • references/radiology-house-style.md
  • references/stat-reporting.md
  • references/style-guardrails.md
  • references/venue-voice-and-house-style.md

Open the folder on GitHubat commit aaa0fe6

Compare with similar skills

Radiology Polishing 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 Polishing compared with similar skills
SkillStarsUsed inTokensAuto-checkLicenceRepo updated
Radiology Polishing this skillhuang-sir1/radiology-skills1.9k—~1.3kAutomated safety check: PassCustom licence
Claimsruvnet/ruflo74k1 repos~1.1kAutomated safety check: PassMIT
Fact Checkgarrytan/gbrain31k—~5.2kAutomated safety check: PassMIT
Nature-Style Academic PolishingYuan1z0825/nature-skills47k—~1.5kAutomated safety check: PassApache-2.0
Fact Check X Completesickn33/agentic-awesome-skills47k1 repos~2.3kAutomated safety check: PassApache-2.0
JavaScript Concept Fact Checkerleonardomso/33-js-concepts67k1 repos~5kAutomated safety check: PassMIT

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Questions about Radiology Polishing

What does Radiology Polishing do?

Polish existing research prose while preserving facts and claims; not drafting or scientific repair. Radiology Polishing is an agent skill from huang-sir1/radiology-skills. Polish existing research prose while preserving facts and claims; not drafting or scientific repair.

How do I install Radiology Polishing in Claude Code?

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

How do I install Radiology Polishing in Codex?

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

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

What does Radiology Polishing need to run?

SKILL.md names no scripts, command-line tools or credentials: Radiology Polishing is instructions for the agent only.

Does Radiology Polishing 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 Polishing 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 Polishing use?

Radiology Polishing 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 Polishing use?

About 1.3k tokens (SKILL.md is roughly 5.2k 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 4.1k tokens, read only when the agent opens those files.

What are the alternatives to Radiology Polishing?

Skills that share tags, products or a category with Radiology Polishing: Claims (ruvnet/ruflo, 74k stars), Fact Check (garrytan/gbrain, 31k stars), Nature-Style Academic Polishing (Yuan1z0825/nature-skills, 47k stars) and Fact Check X Complete (sickn33/agentic-awesome-skills, 47k stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.

Who maintains Radiology Polishing?

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.