Agent skill

Radiology Grant

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

Develop/review radiology grants against a live call, including current NSFC rules, code/call routing, funder criteria and imaging feasibility; not papers or decks.

Custom licenceAuto-check passed

Install Radiology Grant

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

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

GitHub CLI
$ gh skill install huang-sir1/radiology-skills radiology-grant --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-grant .claude/skills/radiology-grant && 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-grant
GitHub stars
1.9k
Token cost
~3.2k tokens
SKILL.md length
1,264 words
Files
23 (incl. scripts, references)
Skills in repo
39
Repo updated
First seen
Licence
Custom licence

At a glance

Develop/review radiology grants against a live call, including current NSFC rules, code/call routing, funder criteria and imaging feasibility; not papers or decks.

  • Works in 8 steps: Intake and version lock. Identify the… → Administrative gate. Check eligibility,… → Freeze the proposal spine. Extract… → …
  • SKILL.md covers Non-negotiable boundaries, Route by task, Funder-package finalization… and Review workflow, plus 2 more sections
  • Runs PowerShell scripts from its folder

What it does

Radiology Grant is an agent skill from huang-sir1/radiology-skills. Develop/review radiology grants against a live call, including current NSFC rules, code/call routing, funder criteria and imaging feasibility; not papers or decks. CN: 标书、国自然、基金评审

Its SKILL.md is about 3.2k tokens, which your agent loads only when the skill is triggered. The skill folder holds 25 other files, including scripts and reference files (for example `README.md`, `agents/openai.yaml` and `references/call-and-compliance-gate.md`).

Example prompts

  • “/radiology-grant”

Requirements

  • PowerShell

Workflow steps

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

  1. Intake and version lock. Identify the review mode and material version. Build the call
  2. Administrative gate. Check eligibility, application limits, required forms/attachments,
  3. Freeze the proposal spine. Extract clinical/scientific need → gap → central question →
  4. Apply the funder criteria. Create one criterion finding per material issue: criterion,
  5. Run the radiology gate. Audit the clinical-phenomenon → image-phenotype → biological/clinical
  6. Test execution. Map every aim to personnel, data, dependencies, milestone, decision rule,
  7. Synthesize without laundering disagreement. Prioritize fatal compliance defects and
  8. Close with a decision boundary. State what was assessed, what remains unverified, which

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 Grant loads about 3.2k tokens when it runs, and up to ~30k if it reads all its reference files. Until then it costs about 49 tokens; SKILL.md has 1,264 words of instructions outside code blocks.

Always · name and description, kept in context so the agent knows when to use it
~49
When it runs · the whole SKILL.md, loaded when a task matches
~3.2k
With references · SKILL.md plus every file in references/, read only if the agent opens them
~30k

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 1,264 words (~3,203 tokens).

“Use this skill for funding proposals, not for manuscript peer review or presentation production. Treat a grant as a call-bound argument for a consequential, answerable question and a feasible research programme. A polished narrative cannot cure an ineligible application, an…”

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

Read the full SKILL.md on GitHub

Files

SKILL.md and 22 other files (scripts, references) in radiology-skills/skills/radiology-grant of huang-sir1/radiology-skills.

  • SKILL.md
  • README.md
  • agents/openai.yaml
  • references/call-and-compliance-gate.md
  • references/evidence-contract-and-stopping-rules.md
  • references/feasibility-and-pitfalls.md
  • references/grant-architecture.md
  • references/imaging-methodology-router.md
  • references/international-grants.md
  • references/nsfc-2024-2026-change-map.md
  • references/nsfc-application-content-playbook.md
  • references/nsfc-radiology-code-and-call-router.md
  • references/radiology-feasibility-audit.md
  • references/reframe-and-innovation.md
  • references/review-modes-and-criteria.md
  • references/source-registry.md
  • scripts/validate_grant_skill.ps1
  • templates
  • … and 5 more

Open the folder on GitHubat commit aaa0fe6

Compare with similar skills

Radiology Grant 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 Grant compared with similar skills
SkillStarsUsed inTokensAuto-checkLicenceRepo updated
Radiology Grant this skillhuang-sir1/radiology-skills1.9k—~3.2kAutomated safety check: PassCustom licence
Grantsalirezarezvani/claude-skills28k—~3.7kAutomated safety check: PassMIT
MCP Developmentcoollabsio/coolify63k1 repos~949Automated safety check: PassMIT
Game Developmentsickn33/agentic-awesome-skills47k1 repos~1.3kAutomated safety check: PassMIT
Twenty App Entity Developmenttwentyhq/twenty58k—~1.8kAutomated safety check: PassCustom licence
Developmentccusage/ccusage19k—~433Automated safety check: PassCustom licence

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Questions about Radiology Grant

What does Radiology Grant do?

Develop/review radiology grants against a live call, including current NSFC rules, code/call routing, funder criteria and imaging feasibility; not papers or decks. Radiology Grant is an agent skill from huang-sir1/radiology-skills. Develop/review radiology grants against a live call, including current NSFC rules, code/call routing, funder criteria and imaging feasibility; not papers or decks.

How do I install Radiology Grant in Claude Code?

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

How do I install Radiology Grant in Codex?

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

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

What does Radiology Grant need to run?

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

Does Radiology Grant 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 Grant 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 Grant use?

Radiology Grant 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 Grant use?

About 3.2k tokens (SKILL.md is roughly 13k 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 27k tokens, read only when the agent opens those files.

What are the alternatives to Radiology Grant?

Skills that share tags, products or a category with Radiology Grant: Grants (alirezarezvani/claude-skills, 28k stars), MCP Development (coollabsio/coolify, 63k stars), Game Development (sickn33/agentic-awesome-skills, 47k stars) and Twenty App Entity Development (twentyhq/twenty, 58k stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.

Who maintains Radiology Grant?

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.