High Value Paper Screener
aipoch/medical-research-skills
Quickly judges whether a biomedical paper is worth deep reading by screening for question fit, design quality, sample adequacy, methodological novelty, and reproducibility value.
Design/audit imaging truth, readers, ROI geometry, reproducibility and label noise; not model training.
Install Radiology Annotation
$ npx skills add huang-sir1/radiology-skills --skill radiology-annotation -a claude-codeProject install by default; add -g for ~/.claude/skills/.
$ gh skill install huang-sir1/radiology-skills radiology-annotation --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-annotation .claude/skills/radiology-annotation && 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-annotation" agent skill from https://github.com/huang-sir1/radiology-skills/tree/main/radiology-skills/skills/radiology-annotation into .claude/skills/radiology-annotation/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "radiology-annotation", 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-annotationType 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-annotation -a codexProject install goes to .agents/skills/; add -g for ~/.codex/skills/.
$ gh skill install huang-sir1/radiology-skills radiology-annotation --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-annotation .agents/skills/radiology-annotation && 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-annotation" agent skill from https://github.com/huang-sir1/radiology-skills/tree/main/radiology-skills/skills/radiology-annotation into .agents/skills/radiology-annotation/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "radiology-annotation", 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-annotation -a cursorProject install goes to .agents/skills/; add -g for ~/.cursor/skills/.
$ gh skill install huang-sir1/radiology-skills radiology-annotation --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-annotation .cursor/skills/radiology-annotation && 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-annotation" agent skill from https://github.com/huang-sir1/radiology-skills/tree/main/radiology-skills/skills/radiology-annotation into .cursor/skills/radiology-annotation/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "radiology-annotation", 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-annotation--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-annotation -a gemini-cliProject install goes to .agents/skills/; add -g for ~/.gemini/skills/.
$ gh skill install huang-sir1/radiology-skills radiology-annotation --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-annotation .gemini/skills/radiology-annotation && 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-annotation" agent skill from https://github.com/huang-sir1/radiology-skills/tree/main/radiology-skills/skills/radiology-annotation into .gemini/skills/radiology-annotation/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "radiology-annotation", 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-annotationInstalls 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-annotation -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-annotation .github/skills/radiology-annotation && 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-annotation" agent skill from https://github.com/huang-sir1/radiology-skills/tree/main/radiology-skills/skills/radiology-annotation into .github/skills/radiology-annotation/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "radiology-annotation", 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-annotation -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-annotation --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-annotation .opencode/skills/radiology-annotation && 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-annotation" agent skill from https://github.com/huang-sir1/radiology-skills/tree/main/radiology-skills/skills/radiology-annotation into .opencode/skills/radiology-annotation/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "radiology-annotation", 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-annotation- GitHub stars
- 1.9k
- Token cost
- ~1.7k tokens
- SKILL.md length
- 685 words
- Files
- 11 (incl. references)
- Skills in repo
- 39
- Repo updated
- First seen
- Licence
- Custom licence
At a glance
Design/audit imaging truth, readers, ROI geometry, reproducibility and label noise; not model training.
- Works in 7 steps: Fix the target construct and reference… → Fix the segmentation target. What is… → Choose the selection strategy… → …
- Tasks that involve Reproducible research
- SKILL.md covers Core stance, When to use, When to open extra files and Workflow, plus 3 more sections
- Runs Python scripts from its folder
What it does
Radiology Annotation is an agent skill from huang-sir1/radiology-skills. Design/audit imaging truth, readers, ROI geometry, reproducibility and label noise; not model training.
Its SKILL.md is about 1.7k tokens, which your agent loads only when the skill is triggered. The skill folder holds 13 other files, including reference files (for example `README.md`, `agents/openai.yaml` and `references/label-ontology-and-reference-standard.md`).
It sits in Research & Science, covering Reproducible research, Fine-tuning and Design review and critique.
When your agent uses it
- Tasks that involve Reproducible research
- Tasks that involve Fine-tuning
- Tasks that involve Design review and critique
Example prompts
- “/radiology-annotation”
Requirements
- Python 3
Workflow steps
7 steps, taken from the first numbered list in SKILL.md.
- Fix the target construct and reference standard. Define case/lesion/exam ontology,
- Fix the segmentation target. What is segmented (whole tumour, core, necrosis, edema, node, organ),
- Choose the selection strategy (lesion-selection.md) — dimension, region, peritumoral
- Specify the reader protocol (reader-protocol.md) — who, how many, blinded to what,
- Plan reproducibility (reproducibility-qc.md) — repeat-annotation subset, ICC/Dice/HD,
- Verify geometry (mask-geometry.md) — confirm image↔mask spacing/origin/direction/slice
- Write Methods — the annotation paragraph: target, software+version, readers, blinding,
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 script files (Python), 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 Annotation loads about 1.7k tokens when it runs, and up to ~10k if it reads all its reference files. Until then it costs about 31 tokens; SKILL.md has 685 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); 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 685 words (~1,713 tokens).
“Use this skill to make the annotation behind a radiomics/segmentation/radiogenomics study defensible. Reviewers reject papers when the segmentation is a black box: unknown readers, no reproducibility, masks that don't align with the images, or feature instability never tested. This skill…”
- name
- radiology-annotation
Files
SKILL.md and 10 other files (references) in radiology-skills/skills/radiology-annotation of huang-sir1/radiology-skills.
- SKILL.md
- README.md
- agents/openai.yaml
- references/label-ontology-and-reference-standard.md
- references/lesion-selection.md
- references/longitudinal-lesion-and-exam-linkage.md
- references/mask-geometry.md
- references/noisy-weak-and-report-derived-labels.md
- references/reader-protocol.md
- references/reproducibility-qc.md
- tests/test_mask_geometry_semantics.py
Open the folder on GitHubat commit aaa0fe6
Compare with similar skills
Radiology Annotation 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 Annotation this skillhuang-sir1/radiology-skills | 1.9k | — | ~1.7k | Automated safety check: Pass | Custom licence | |
| High Value Paper Screeneraipoch/medical-research-skills | 1.9k | — | ~2.3k | Automated safety check: Pass | MIT | |
| HypoGeniC Hypothesis GenerationK-Dense-AI/scientific-agent-skills | 48k | 1 repos | ~3.6k | Automated safety check: Notes | MIT | |
| Paper Figure DesignerHKUSTDial/Supervisor-Skills | 8.8k | — | ~1.9k | Automated safety check: Pass | CC-BY-4.0 | |
| Verifier Evaluationsmorluto/jacobian | 220 | — | ~661 | Automated safety check: Pass | MIT | |
| Ablation Study Plannerwanshuiyin/Auto-claude-code-research-in-sleep | 17k | — | ~1.3k | Automated safety check: Notes | MIT |
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Paper Figure Designer
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Advises on designing the three core figures of a technical paper, then audits them against rules for format, fonts, color and captions.
Verifier Evaluations
morluto/jacobian
Design, audit, or repair mathematical benchmark verifiers, submission contracts, and scoring.
Ablation Study Planner
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Plans the ablation studies a paper needs after main results support its claim: Codex designs them like a reviewer, Claude Code checks feasibility and runs them.
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Related
Questions about Radiology Annotation
What does Radiology Annotation do?
Design/audit imaging truth, readers, ROI geometry, reproducibility and label noise; not model training. Radiology Annotation is an agent skill from huang-sir1/radiology-skills. Design/audit imaging truth, readers, ROI geometry, reproducibility and label noise; not model training.
When should I use Radiology Annotation?
Radiology Annotation fits situations like: tasks that involve Reproducible research; tasks that involve Fine-tuning; tasks that involve Design review and critique.
How do I install Radiology Annotation in Claude Code?
Run `npx skills add huang-sir1/radiology-skills --skill radiology-annotation -a claude-code`. Or copy the skill folder (radiology-skills/skills/radiology-annotation in huang-sir1/radiology-skills) into .claude/skills/radiology-annotation in your project. Claude Code loads it when a task matches its description.
How do I install Radiology Annotation in Codex?
Run `npx skills add huang-sir1/radiology-skills --skill radiology-annotation -a codex`. Or copy the skill folder (radiology-skills/skills/radiology-annotation in huang-sir1/radiology-skills) into .agents/skills/radiology-annotation in your project. Codex loads it when a task matches its description.
Can I use Radiology Annotation 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-annotation -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-annotation, .gemini/skills/radiology-annotation, .github/skills/radiology-annotation and .opencode/skills/radiology-annotation in your project.
What does Radiology Annotation need to run?
Going by SKILL.md and its folder, Radiology Annotation needs Python for the scripts in its folder. Our summary lists: Python 3.
Does Radiology Annotation 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 Annotation 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 Annotation use?
Radiology Annotation 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 Annotation use?
About 1.7k tokens (SKILL.md is roughly 6.9k 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 8.7k tokens, read only when the agent opens those files.
What are the alternatives to Radiology Annotation?
Skills that share tags, products or a category with Radiology Annotation: High Value Paper Screener (aipoch/medical-research-skills, 1.9k stars), HypoGeniC Hypothesis Generation (K-Dense-AI/scientific-agent-skills, 48k stars), Paper Figure Designer (HKUSTDial/Supervisor-Skills, 8.8k stars) and Verifier Evaluations (morluto/jacobian, 220 stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.
Who maintains Radiology Annotation?
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.