Agent skill

Radiology Systematic Review

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

Design/audit systematic or scoping reviews from protocol through synthesis, certainty and living updates.

Custom licenceAuto-check passedResearch & Science

Install Radiology Systematic Review

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

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

GitHub CLI
$ gh skill install huang-sir1/radiology-skills radiology-systematic-review --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-systematic-review .claude/skills/radiology-systematic-review && 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-systematic-review
GitHub stars
1.9k
Token cost
~4.3k tokens
SKILL.md length
1,937 words
Files
9 (incl. scripts, references)
Skills in repo
39
Repo updated
First seen
Licence
Custom licence

At a glance

Design/audit systematic or scoping reviews from protocol through synthesis, certainty and living updates.

  • Works in 9 steps: review objective, intended audience/use,… → route and question framework: PICO,… → protocol version/date, registration… → …
  • Tasks that involve Literature review
  • SKILL.md covers Core stance, Choose the entry mode, Required route selection and Minimal intake, plus 4 more sections
  • Runs PowerShell scripts from its folder

What it does

Radiology Systematic Review is an agent skill from huang-sir1/radiology-skills. Design/audit systematic or scoping reviews from protocol through synthesis, certainty and living updates.

Its SKILL.md is about 4.3k tokens, which your agent loads only when the skill is triggered. The skill folder holds 13 other files, including scripts and reference files (for example `agents/openai.yaml`, `references/evidence-synthesis-routing.md` and `references/review-methods-and-quality-gates.md`).

It sits in Research & Science, covering Literature review and Design review and critique.

When your agent uses it

  • Tasks that involve Literature review
  • Tasks that involve Design review and critique

Example prompts

  • “/radiology-systematic-review”

Requirements

  • PowerShell

Workflow steps

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

  1. review objective, intended audience/use, scope and preliminary claim;
  2. route and question framework: PICO, PIRD, PECO/PICOS, CHARMS-like prediction domains, or a
  3. protocol version/date, registration platform/identifier/status and amendments;
  4. databases/platforms, coverage dates, complete strategies, last-search date and grey-literature
  5. eligibility, outcomes/estimands, time horizons, effect measure, report/study unit and language/
  6. screening, conflict resolution, exclusion reasons, PRISMA counts and any automation/priority
  7. extraction form, reviewer structure, linked reports/overlapping cohorts and usable effect rows;
  8. risk-of-bias/applicability tool/version, judgments and evidence anchors;
  9. synthesis outputs/code, independent unit, dependence structure, model, heterogeneity,

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), 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 Systematic Review loads about 4.3k tokens when it runs, and up to ~10k if it reads all its reference files. Until then it costs about 33 tokens; SKILL.md has 1,937 words of instructions outside code blocks.

Always · name and description, kept in context so the agent knows when to use it
~33
When it runs · the whole SKILL.md, loaded when a task matches
~4.3k
With references · SKILL.md plus every file in references/, read only if the agent opens them
~10k

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 1,937 words (~4,344 tokens).

“Use this skill to turn a review question into an auditable evidence-synthesis project, or to test whether an existing review can support its conclusion. It is an independent scientific entry point and a cross-cutting mentor/reviewer module. It does not require…”

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

Read the full SKILL.md on GitHub

Files

SKILL.md and 8 other files (scripts, references) in radiology-skills/skills/radiology-systematic-review of huang-sir1/radiology-skills.

  • SKILL.md
  • agents/openai.yaml
  • references/evidence-synthesis-routing.md
  • references/review-methods-and-quality-gates.md
  • scripts/validate_systematic_review_skill.ps1
  • templates/data-extraction-and-synthesis-matrix.md
  • templates/risk-of-bias-applicability-matrix.md
  • templates/systematic-review-protocol.md
  • tests/routing-cases.json

Open the folder on GitHubat commit aaa0fe6

Compare with similar skills

Radiology Systematic Review 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 Systematic Review compared with similar skills
SkillStarsUsed inTokensAuto-checkLicenceRepo updated
Radiology Systematic Review this skillhuang-sir1/radiology-skills1.9k—~4.3kAutomated safety check: PassCustom licence
Nature Paper CardYuan1z0825/nature-skills47k2 repos~2.1kAutomated safety check: PassApache-2.0
Systematic Review ScreenerImbad0202/academic-research-skills51k—~8.4kAutomated safety check: PassCustom licence
Literature Reviewneflibata-feng/MyArxiv-Agent12620 repos~5.9kAutomated safety check: NotesMIT
Preprint Search on bioRxivLigphiDonk/Oh-my--paper73912 repos~3.7kAutomated safety check: PassMIT
Academic Paper Writing PipelineImbad0202/academic-research-skills51k—~16kAutomated safety check: PassCustom licence

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  • Literature Review

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Questions about Radiology Systematic Review

What does Radiology Systematic Review do?

Design/audit systematic or scoping reviews from protocol through synthesis, certainty and living updates. Radiology Systematic Review is an agent skill from huang-sir1/radiology-skills. Design/audit systematic or scoping reviews from protocol through synthesis, certainty and living updates.

When should I use Radiology Systematic Review?

Radiology Systematic Review fits situations like: tasks that involve Literature review; tasks that involve Design review and critique.

How do I install Radiology Systematic Review in Claude Code?

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

How do I install Radiology Systematic Review in Codex?

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

Can I use Radiology Systematic Review 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-systematic-review -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-systematic-review, .gemini/skills/radiology-systematic-review, .github/skills/radiology-systematic-review and .opencode/skills/radiology-systematic-review in your project.

What does Radiology Systematic Review need to run?

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

Does Radiology Systematic Review 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 Systematic Review 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 Systematic Review use?

Radiology Systematic Review 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 Systematic Review use?

About 4.3k tokens (SKILL.md is roughly 17k 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 6.1k tokens, read only when the agent opens those files.

What are the alternatives to Radiology Systematic Review?

Skills that share tags, products or a category with Radiology Systematic Review: Nature Paper Card (Yuan1z0825/nature-skills, 47k stars), Systematic Review Screener (Imbad0202/academic-research-skills, 51k stars), Literature Review (neflibata-feng/MyArxiv-Agent, 126 stars) and Preprint Search on bioRxiv (LigphiDonk/Oh-my--paper, 739 stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.

Who maintains Radiology Systematic Review?

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.