Peer Review
K-Dense-AI/claude-scientific-writer
Prepare evidence-bounded, constructive peer-review drafts and structured manuscript assessments.
Audit/package computational replay with manifests, environments, provenance and evidence levels.
Install Radiology Reproducibility
$ npx skills add huang-sir1/radiology-skills --skill radiology-reproducibility -a claude-codeProject install by default; add -g for ~/.claude/skills/.
$ gh skill install huang-sir1/radiology-skills radiology-reproducibility --agent claude-codeProject scope by default; add --scope user for a personal install. Needs GitHub CLI 2.90.0 or later (public preview).
$ 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-reproducibility .claude/skills/radiology-reproducibility && rm -rf skills-srcUse ~/.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/
Install the "radiology-reproducibility" agent skill from https://github.com/huang-sir1/radiology-skills/tree/main/radiology-skills/skills/radiology-reproducibility into .claude/skills/radiology-reproducibility/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "radiology-reproducibility", then confirm the skill loads.Claude Code copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$skill-installer install https://github.com/huang-sir1/radiology-skills/tree/main/radiology-skills/skills/radiology-reproducibilityType this inside Codex. $skill-installer <name> installs a curated skill from openai/skills. The installer writes to $CODEX_HOME/skills (default ~/.codex/skills). Restart Codex if the skill does not show up.
$ npx skills add huang-sir1/radiology-skills --skill radiology-reproducibility -a codexProject install goes to .agents/skills/; add -g for ~/.codex/skills/.
$ gh skill install huang-sir1/radiology-skills radiology-reproducibility --agent codexProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/huang-sir1/radiology-skills.git skills-src && mkdir -p .agents/skills && cp -r skills-src/radiology-skills/skills/radiology-reproducibility .agents/skills/radiology-reproducibility && rm -rf skills-srcUse ~/.agents/skills/ instead of .agents/skills for a personal install.
Codex skills documentation · loads skills from .agents/skills/
Install the "radiology-reproducibility" agent skill from https://github.com/huang-sir1/radiology-skills/tree/main/radiology-skills/skills/radiology-reproducibility into .agents/skills/radiology-reproducibility/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "radiology-reproducibility", then confirm the skill loads.Codex copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$ npx skills add huang-sir1/radiology-skills --skill radiology-reproducibility -a cursorProject install goes to .agents/skills/; add -g for ~/.cursor/skills/.
$ gh skill install huang-sir1/radiology-skills radiology-reproducibility --agent cursorProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/huang-sir1/radiology-skills.git skills-src && mkdir -p .cursor/skills && cp -r skills-src/radiology-skills/skills/radiology-reproducibility .cursor/skills/radiology-reproducibility && rm -rf skills-srcUse ~/.cursor/skills/ instead of .cursor/skills for a personal install.
Cursor skills documentation · loads skills from .cursor/skills/, .agents/skills/, .claude/skills/, .codex/skills/
Install the "radiology-reproducibility" agent skill from https://github.com/huang-sir1/radiology-skills/tree/main/radiology-skills/skills/radiology-reproducibility into .cursor/skills/radiology-reproducibility/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "radiology-reproducibility", then confirm the skill loads.Cursor copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$ gemini skills install https://github.com/huang-sir1/radiology-skills.git --path radiology-skills/skills/radiology-reproducibility--scope user (default) or --scope workspace; --path is the subfolder of the repo that holds the skill; --consent skips the security confirmation prompt.
$ npx skills add huang-sir1/radiology-skills --skill radiology-reproducibility -a gemini-cliProject install goes to .agents/skills/; add -g for ~/.gemini/skills/.
$ gh skill install huang-sir1/radiology-skills radiology-reproducibility --agent gemini-cliProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/huang-sir1/radiology-skills.git skills-src && mkdir -p .gemini/skills && cp -r skills-src/radiology-skills/skills/radiology-reproducibility .gemini/skills/radiology-reproducibility && rm -rf skills-srcUse ~/.gemini/skills/ instead of .gemini/skills for a personal install, then run /skills reload.
Gemini CLI skills documentation · loads skills from .gemini/skills/, .agents/skills/
Install the "radiology-reproducibility" agent skill from https://github.com/huang-sir1/radiology-skills/tree/main/radiology-skills/skills/radiology-reproducibility into .gemini/skills/radiology-reproducibility/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "radiology-reproducibility", then confirm the skill loads.Gemini CLI copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$ gh skill install huang-sir1/radiology-skills radiology-reproducibilityInstalls for Copilot at project scope by default; add --scope user for a personal install. Preview a skill first with gh skill preview. Needs GitHub CLI 2.90.0 or later (public preview).
$ npx skills add huang-sir1/radiology-skills --skill radiology-reproducibility -a github-copilotProject install goes to .agents/skills/; add -g for ~/.copilot/skills/.
$ git clone --depth 1 https://github.com/huang-sir1/radiology-skills.git skills-src && mkdir -p .github/skills && cp -r skills-src/radiology-skills/skills/radiology-reproducibility .github/skills/radiology-reproducibility && rm -rf skills-srcUse ~/.copilot/skills/ instead of .github/skills for a personal install. Commit .github/skills so cloud agent and code review can use it.
GitHub Copilot skills documentation · loads skills from .github/skills/, .claude/skills/, .agents/skills/
Install the "radiology-reproducibility" agent skill from https://github.com/huang-sir1/radiology-skills/tree/main/radiology-skills/skills/radiology-reproducibility into .github/skills/radiology-reproducibility/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "radiology-reproducibility", then confirm the skill loads.GitHub Copilot copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$ npx skills add huang-sir1/radiology-skills --skill radiology-reproducibility -a opencodeOpenCode documents no install command of its own. Project install goes to .agents/skills/; add -g for ~/.config/opencode/skills/.
$ gh skill install huang-sir1/radiology-skills radiology-reproducibility --agent opencodeProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/huang-sir1/radiology-skills.git skills-src && mkdir -p .opencode/skills && cp -r skills-src/radiology-skills/skills/radiology-reproducibility .opencode/skills/radiology-reproducibility && rm -rf skills-srcUse ~/.config/opencode/skills/ instead of .opencode/skills for a personal install.
OpenCode skills documentation · loads skills from .opencode/skills/, .claude/skills/, .agents/skills/
Install the "radiology-reproducibility" agent skill from https://github.com/huang-sir1/radiology-skills/tree/main/radiology-skills/skills/radiology-reproducibility into .opencode/skills/radiology-reproducibility/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "radiology-reproducibility", then confirm the skill loads.OpenCode copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
Facts
- Skill name
radiology-reproducibility- GitHub stars
- 1.9k
- Token cost
- ~2.8k tokens
- SKILL.md length
- 1,211 words
- Files
- 9 (incl. scripts, references)
- Skills in repo
- 39
- Repo updated
- First seen
- Licence
- Custom licence
At a glance
Audit/package computational replay with manifests, environments, provenance and evidence levels.
- Works in 9 steps: research object, target result/claim,… → executable entrypoint, source… → complete configuration, command,… → …
- Tasks that involve Reproducible research
- SKILL.md covers Non-negotiable boundaries, Route by mode, Input passport and Two-axis evidence verdict, plus 5 more sections
- Runs PowerShell scripts from its folder
What it does
Radiology Reproducibility is an agent skill from huang-sir1/radiology-skills. Audit/package computational replay with manifests, environments, provenance and evidence levels.
Its SKILL.md is about 2.8k 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/replay-contract-and-levels.md` and `references/restricted-data-archiving-and-software.md`).
It sits in Research & Science, covering Reproducible research.
When your agent uses it
- Tasks that involve Reproducible research
Example prompts
- “/radiology-reproducibility”
Requirements
- PowerShell
Workflow steps
9 steps, taken from the first numbered list in SKILL.md.
- research object, target result/claim, package version, intended computational level and any
- executable entrypoint, source repository, immutable commit, dirty state and code licence;
- complete configuration, command, working-directory assumptions and external services;
- runtime, OS, hardware/CPU/GPU, drivers, CUDA, libraries/lockfiles and container tag plus digest;
- input manifest with content identity/hash, format, hierarchy, data release/version, access class,
- seed(s), determinism settings, stochastic repeats, trained weights/checkpoint hash and training
- expected outputs, metrics, reference values, tolerance rule and whether tolerance was frozen
- operator/team, timestamp, run ID, logs, exit state, output hashes and independent-environment
- archive identifier, licences and restricted-data replay route.
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 Reproducibility loads about 2.8k tokens when it runs, and up to ~6.7k if it reads all its reference files. Until then it costs about 31 tokens; SKILL.md has 1,211 words of instructions outside code blocks.
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 1,211 words (~2,846 tokens).
“Use this skill to make a radiology analysis traceable, rerunnable, replayed or independently reproduced through inspectable computational receipts, and to preserve—but not adjudicate—linked external replication/transport evidence. Its unique responsibility is the executable chain from frozen inputs through code/configuration/environment to outputs…”
- name
- radiology-reproducibility
Files
SKILL.md and 8 other files (scripts, references) in radiology-skills/skills/radiology-reproducibility of huang-sir1/radiology-skills.
- SKILL.md
- agents/openai.yaml
- references/replay-contract-and-levels.md
- references/restricted-data-archiving-and-software.md
- references/source-registry.md
- scripts/validate_reproducibility_skill.ps1
- templates/minimum-replay-package-manifest.md
- templates/reproducibility-passport.md
- tests/routing-cases.json
Open the folder on GitHubat commit aaa0fe6
Compare with similar skills
Radiology Reproducibility 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.
| Skill | Stars | Used in | Tokens | Auto-check | Licence | Repo updated |
|---|---|---|---|---|---|---|
| Radiology Reproducibility this skillhuang-sir1/radiology-skills | 1.9k | — | ~2.8k | Automated safety check: Pass | Custom licence | |
| Peer ReviewK-Dense-AI/claude-scientific-writer | 2.4k | 2 repos | ~3.1k | Automated safety check: Notes | MIT | |
| CHARLS Paper Reproduction Guidexjtulyc/MedgeClaw | 617 | 1 repos | ~1.8k | Automated safety check: Pass | None | |
| Compute Environment Setupaipoch/open-science | 5.5k | — | ~2.6k | Automated safety check: Pass | Apache-2.0 | |
| Figure Styleaipoch/open-science | 5.5k | — | ~5.1k | Automated safety check: Pass | Apache-2.0 | |
| Add Bactopia Toolbactopia/bactopia | 522 | — | ~4.1k | Automated safety check: Pass | MIT |
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Compute Environment Setup
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Prepares setup instructions and a named activation file for a user-managed software environment on an Open-Science SSH or Slurm compute host.
Figure Style
aipoch/open-science
Publication-grade correctness and legibility rules for final-deliverable scientific figures, not exploratory plots.
Add Bactopia Tool
bactopia/bactopia
Scaffold a complete Bactopia Tool across all three tiers -- module, subworkflow, and workflow entry point under workflows/bactopia-tools/.
Modeling Code and Result Contracts
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All 39 skills in this repoRadiology Table
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Create/audit editable publication tables with source reconciliation; not figures or statistical inference.
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Audit imaging acquisition, reconstruction, series eligibility, quantitative transforms and protocol drift; not model training.
Radiology Bibliometrics
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Build reproducible radiology bibliometrics with corpus identity, disambiguation and sensitivity; not reviews.
Radiology Clinical Domain
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Radiology Consensus Guideline
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Design/audit consensus and evidence-to-recommendation products; not review synthesis or endorsement.
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Related
Categories
Questions about Radiology Reproducibility
What does Radiology Reproducibility do?
Audit/package computational replay with manifests, environments, provenance and evidence levels. Radiology Reproducibility is an agent skill from huang-sir1/radiology-skills. Audit/package computational replay with manifests, environments, provenance and evidence levels.
When should I use Radiology Reproducibility?
Radiology Reproducibility fits situations like: tasks that involve Reproducible research.
How do I install Radiology Reproducibility in Claude Code?
Run `npx skills add huang-sir1/radiology-skills --skill radiology-reproducibility -a claude-code`. Or copy the skill folder (radiology-skills/skills/radiology-reproducibility in huang-sir1/radiology-skills) into .claude/skills/radiology-reproducibility in your project. Claude Code loads it when a task matches its description.
How do I install Radiology Reproducibility in Codex?
Run `npx skills add huang-sir1/radiology-skills --skill radiology-reproducibility -a codex`. Or copy the skill folder (radiology-skills/skills/radiology-reproducibility in huang-sir1/radiology-skills) into .agents/skills/radiology-reproducibility in your project. Codex loads it when a task matches its description.
Can I use Radiology Reproducibility 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-reproducibility -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-reproducibility, .gemini/skills/radiology-reproducibility, .github/skills/radiology-reproducibility and .opencode/skills/radiology-reproducibility in your project.
What does Radiology Reproducibility need to run?
Going by SKILL.md and its folder, Radiology Reproducibility needs PowerShell for the scripts in its folder. Our summary lists: PowerShell.
Does Radiology Reproducibility 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 Reproducibility 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 Reproducibility use?
Radiology Reproducibility 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 Reproducibility use?
About 2.8k tokens (SKILL.md is roughly 11k 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 3.8k tokens, read only when the agent opens those files.
What are the alternatives to Radiology Reproducibility?
Skills that share tags, products or a category with Radiology Reproducibility: Peer Review (K-Dense-AI/claude-scientific-writer, 2.4k stars), CHARLS Paper Reproduction Guide (xjtulyc/MedgeClaw, 617 stars), Compute Environment Setup (aipoch/open-science, 5.5k stars) and Figure Style (aipoch/open-science, 5.5k stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.
Who maintains Radiology Reproducibility?
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.