DeepTutor CLI
HKUDS/DeepTutor
Teaches the agent to set up and run DeepTutor from the command line: chat and capabilities, knowledge bases, partners, memory, sessions, notebooks and the server or Web app.
A skill your agent uses when creating radiology educational quizzes, preparing board exam questions, or studying medical imaging cases.
Install Radiology Image Quiz
$ npx skills add aipoch/medical-research-skills --skill radiology-image-quiz -a claude-codeProject install by default; add -g for ~/.claude/skills/.
$ gh skill install aipoch/medical-research-skills radiology-image-quiz --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/aipoch/medical-research-skills.git skills-src && mkdir -p .claude/skills && cp -r skills-src/'scientific-skills/Academic Writing/radiology-image-quiz' .claude/skills/radiology-image-quiz && 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-image-quiz" agent skill from https://github.com/aipoch/medical-research-skills/tree/main/scientific-skills/Academic%20Writing/radiology-image-quiz into .claude/skills/radiology-image-quiz/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "radiology-image-quiz", 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/aipoch/medical-research-skills/tree/main/scientific-skills/Academic%20Writing/radiology-image-quizType 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 aipoch/medical-research-skills --skill radiology-image-quiz -a codexProject install goes to .agents/skills/; add -g for ~/.codex/skills/.
$ gh skill install aipoch/medical-research-skills radiology-image-quiz --agent codexProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/aipoch/medical-research-skills.git skills-src && mkdir -p .agents/skills && cp -r skills-src/'scientific-skills/Academic Writing/radiology-image-quiz' .agents/skills/radiology-image-quiz && 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-image-quiz" agent skill from https://github.com/aipoch/medical-research-skills/tree/main/scientific-skills/Academic%20Writing/radiology-image-quiz into .agents/skills/radiology-image-quiz/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "radiology-image-quiz", 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 aipoch/medical-research-skills --skill radiology-image-quiz -a cursorProject install goes to .agents/skills/; add -g for ~/.cursor/skills/.
$ gh skill install aipoch/medical-research-skills radiology-image-quiz --agent cursorProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/aipoch/medical-research-skills.git skills-src && mkdir -p .cursor/skills && cp -r skills-src/'scientific-skills/Academic Writing/radiology-image-quiz' .cursor/skills/radiology-image-quiz && 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-image-quiz" agent skill from https://github.com/aipoch/medical-research-skills/tree/main/scientific-skills/Academic%20Writing/radiology-image-quiz into .cursor/skills/radiology-image-quiz/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "radiology-image-quiz", 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/aipoch/medical-research-skills.git --path 'scientific-skills/Academic Writing/radiology-image-quiz'--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 aipoch/medical-research-skills --skill radiology-image-quiz -a gemini-cliProject install goes to .agents/skills/; add -g for ~/.gemini/skills/.
$ gh skill install aipoch/medical-research-skills radiology-image-quiz --agent gemini-cliProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/aipoch/medical-research-skills.git skills-src && mkdir -p .gemini/skills && cp -r skills-src/'scientific-skills/Academic Writing/radiology-image-quiz' .gemini/skills/radiology-image-quiz && 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-image-quiz" agent skill from https://github.com/aipoch/medical-research-skills/tree/main/scientific-skills/Academic%20Writing/radiology-image-quiz into .gemini/skills/radiology-image-quiz/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "radiology-image-quiz", 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 aipoch/medical-research-skills radiology-image-quizInstalls 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 aipoch/medical-research-skills --skill radiology-image-quiz -a github-copilotProject install goes to .agents/skills/; add -g for ~/.copilot/skills/.
$ git clone --depth 1 https://github.com/aipoch/medical-research-skills.git skills-src && mkdir -p .github/skills && cp -r skills-src/'scientific-skills/Academic Writing/radiology-image-quiz' .github/skills/radiology-image-quiz && 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-image-quiz" agent skill from https://github.com/aipoch/medical-research-skills/tree/main/scientific-skills/Academic%20Writing/radiology-image-quiz into .github/skills/radiology-image-quiz/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "radiology-image-quiz", 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 aipoch/medical-research-skills --skill radiology-image-quiz -a opencodeOpenCode documents no install command of its own. Project install goes to .agents/skills/; add -g for ~/.config/opencode/skills/.
$ gh skill install aipoch/medical-research-skills radiology-image-quiz --agent opencodeProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/aipoch/medical-research-skills.git skills-src && mkdir -p .opencode/skills && cp -r skills-src/'scientific-skills/Academic Writing/radiology-image-quiz' .opencode/skills/radiology-image-quiz && 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-image-quiz" agent skill from https://github.com/aipoch/medical-research-skills/tree/main/scientific-skills/Academic%20Writing/radiology-image-quiz into .opencode/skills/radiology-image-quiz/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "radiology-image-quiz", 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-image-quiz- GitHub stars
- 1.9k
- Token cost
- ~1.7k tokens
- SKILL.md length
- 709 words
- Files
- 4 (incl. scripts, references)
- Skills in repo
- 578
- Repo updated
- First seen
- Licence
- MIT
At a glance
A skill your agent uses when creating radiology educational quizzes, preparing board exam questions, or studying medical imaging cases.
- Works in 3 steps: Quiz Generation → Case Creation → Difficulty Calibration
- Creating radiology educational quizzes
- SKILL.md covers When to Use, Key Features, Dependencies and Example Usage, plus 12 more sections
- Runs Python scripts from its folder; calls python
What it does
Radiology Image Quiz is an agent skill from aipoch/medical-research-skills. Use when creating radiology educational quizzes, preparing board exam questions, or studying medical imaging cases. Generates interactive quizzes with X-ray, CT, MRI, and ultrasound images for medical education.
Its SKILL.md is about 1.7k tokens, which your agent loads only when the skill is triggered. The skill folder holds 5 other files, including scripts and reference files (for example `radiology-image-quiz_audit_result_v2.json`, `references/audit-reference.md` and `scripts/main.py`).
It sits in Education, covering Quizzes and assessments and Clinical and healthcare research. The repository describes itself as: Hundreds of agent skills for medical research, including protocol design, data analysis, evidence insights, and academic writing. The licence is MIT.
When your agent uses it
- Creating radiology educational quizzes
- Preparing board exam questions
- Studying medical imaging cases
Example prompts
- “/radiology-image-quiz”
Requirements
- Python 3
Workflow steps
3 steps, taken from the step headings in SKILL.md.
What it can do on your machine
Read from SKILL.md and the folder at commit 686e09d. 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/ (Python), which the agent can run.
Shell commands in SKILL.md call:
python
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 Image Quiz loads about 1.7k tokens when it runs, and up to ~1.9k if it reads all its reference files. Until then it costs about 58 tokens; SKILL.md has 709 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
The full file from aipoch/medical-research-skills at commit 686e09d, republished under its MIT licence (© aipoch). 709 words, ~1,737 tokens.
Download SKILL.mdSave it as
.claude/skills/radiology-image-quiz/SKILL.md (or your agent's skills folder). This skill also uses 3 other files; get the full folder from GitHub.- name
- radiology-image-quiz
- description
- Use when creating radiology educational quizzes, preparing board exam questions, or studying medical imaging cases. Generates interactive quizzes with X-ray, CT, MRI, and ultrasound images for medical education.
- license
- MIT
- author
- AIPOCH
Radiology Image Quiz Generator
Create educational quizzes using radiology images (X-ray, CT, MRI, ultrasound) for medical students, residents, and board exam preparation.
When to Use
- Use this skill when the task needs Use when creating radiology educational quizzes, preparing board exam questions, or studying medical imaging cases. Generates interactive quizzes with X-ray, CT, MRI, and ultrasound images for medical education.
- Use this skill for academic writing tasks that require explicit assumptions, bounded scope, and a reproducible output format.
- Use this skill when you need a documented fallback path for missing inputs, execution errors, or partial evidence.
Key Features
- Scope-focused workflow aligned to: Use when creating radiology educational quizzes, preparing board exam questions, or studying medical imaging cases. Generates interactive quizzes with X-ray, CT, MRI, and ultrasound images for medical education.
- Packaged executable path(s):
scripts/main.py. - Reference material available in
references/for task-specific guidance. - Structured execution path designed to keep outputs consistent and reviewable.
Dependencies
Python:3.10+. Repository baseline for current packaged skills.Third-party packages:not explicitly version-pinned in this skill package. Add pinned versions if this skill needs stricter environment control.
Example Usage
cd "20260318/scientific-skills/Academic Writing/radiology-image-quiz"
python -m py_compile scripts/main.py
python scripts/main.py --helpExample run plan:
- Confirm the user input, output path, and any required config values.
- Edit the in-file
CONFIGblock or documented parameters if the script uses fixed settings. - Run
python scripts/main.pywith the validated inputs. - Review the generated output and return the final artifact with any assumptions called out.
Implementation Details
See ## Workflow above for related details.
- Execution model: validate the request, choose the packaged workflow, and produce a bounded deliverable.
- Input controls: confirm the source files, scope limits, output format, and acceptance criteria before running any script.
- Primary implementation surface:
scripts/main.py. - Reference guidance:
references/contains supporting rules, prompts, or checklists. - Parameters to clarify first: input path, output path, scope filters, thresholds, and any domain-specific constraints.
- Output discipline: keep results reproducible, identify assumptions explicitly, and avoid undocumented side effects.
Quick Check
Use this command to verify that the packaged script entry point can be parsed before deeper execution.
python -m py_compile scripts/main.pyAudit-Ready Commands
Use these concrete commands for validation. They are intentionally self-contained and avoid placeholder paths.
python -m py_compile scripts/main.py
python scripts/main.py --helpWorkflow
- Confirm the user objective, required inputs, and non-negotiable constraints before doing detailed work.
- Validate that the request matches the documented scope and stop early if the task would require unsupported assumptions.
- Use the packaged script path or the documented reasoning path with only the inputs that are actually available.
- Return a structured result that separates assumptions, deliverables, risks, and unresolved items.
- If execution fails or inputs are incomplete, switch to the fallback path and state exactly what blocked full completion.
Show full SKILL.md (271 more words)Show less
Quick Start
from scripts.radiology_quiz import RadiologyQuiz
quiz = RadiologyQuiz()
# Generate quiz
questions = quiz.generate(
modality="chest_xray",
difficulty="intermediate",
topic="pulmonary_pathology",
num_questions=10
)Core Capabilities
1. Quiz Generation
quiz = quiz.create(
images=["case1.png", "case2.png"],
question_type="multiple_choice",
include_findings=True,
include_differential=True
)Question Types:
- Multiple choice (single best answer)
- Select all that apply
- Fill in the blank
- Open-ended interpretation
2. Case Creation
case = quiz.create_case(
image_path="ct_scan.png",
diagnosis="Pulmonary embolism",
findings=["Filling defect in pulmonary artery", "Right heart strain"],
clinical_history="Sudden onset dyspnea"
)3. Difficulty Calibration
quiz = quiz.set_difficulty(
level="resident", # medical_student, resident, fellow, attending
include_rare_findings=False
)CLI Usage
python scripts/radiology_quiz.py \
--modality ct \
--topic emergency \
--num 20 \
--output quiz.pdfSkill ID: 212 | Version: 1.0 | License: MIT
Output Requirements
Every final response should make these items explicit when they are relevant:
- Objective or requested deliverable
- Inputs used and assumptions introduced
- Workflow or decision path
- Core result, recommendation, or artifact
- Constraints, risks, caveats, or validation needs
- Unresolved items and next-step checks
Error Handling
- If required inputs are missing, state exactly which fields are missing and request only the minimum additional information.
- If the task goes outside the documented scope, stop instead of guessing or silently widening the assignment.
- If
scripts/main.pyfails, report the failure point, summarize what still can be completed safely, and provide a manual fallback. - Do not fabricate files, citations, data, search results, or execution outcomes.
Input Validation
This skill accepts requests that match the documented purpose of radiology-image-quiz and include enough context to complete the workflow safely.
Do not continue the workflow when the request is out of scope, missing a critical input, or would require unsupported assumptions. Instead respond:
radiology-image-quizonly handles its documented workflow. Please provide the missing required inputs or switch to a more suitable skill.
References
- references/audit-reference.md - Supported scope, audit commands, and fallback boundaries
Response Template
Use the following fixed structure for non-trivial requests:
- Objective
- Inputs Received
- Assumptions
- Workflow
- Deliverable
- Risks and Limits
- Next Checks
If the request is simple, you may compress the structure, but still keep assumptions and limits explicit when they affect correctness.
© aipoch, MIT. Rendered from Markdown: HTML in the file is shown as text, images as links, and headings moved down two levels. Raw file
Files
SKILL.md and 3 other files (scripts, references) in scientific-skills/Academic Writing/radiology-image-quiz of aipoch/medical-research-skills.
- SKILL.md
- radiology-image-quiz_audit_result_v2.json
- references/audit-reference.md
- scripts/main.py
Open the folder on GitHubat commit 686e09d
Compare with similar skills
Radiology Image Quiz 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 Image Quiz this skillaipoch/medical-research-skills | 1.9k | — | ~1.7k | Automated safety check: Pass | MIT | |
| DeepTutor CLIHKUDS/DeepTutor | 41k | — | ~2.8k | Automated safety check: Pass | Apache-2.0 | |
| AI Engineering Placement Quizrohitg00/ai-engineering-from-scratch | 67k | — | ~2k | Automated safety check: Pass | MIT | |
| Codebase to Coursezarazhangrui/codebase-to-course | 5.7k | — | ~4.4k | Automated safety check: Pass | None | |
| AI Engineering Phase Quizrohitg00/ai-engineering-from-scratch | 67k | — | ~2.1k | Automated safety check: Pass | MIT | |
| Scholar EvaluationK-Dense-AI/claude-scientific-writer | 2.4k | 2 repos | ~2.9k | Automated safety check: Notes | MIT |
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Related
Categories
Questions about Radiology Image Quiz
What does Radiology Image Quiz do?
A skill your agent uses when creating radiology educational quizzes, preparing board exam questions, or studying medical imaging cases. Radiology Image Quiz is an agent skill from aipoch/medical-research-skills. Use when creating radiology educational quizzes, preparing board exam questions, or studying medical imaging cases.
When should I use Radiology Image Quiz?
Radiology Image Quiz fits situations like: creating radiology educational quizzes; preparing board exam questions; studying medical imaging cases.
How do I install Radiology Image Quiz in Claude Code?
Run `npx skills add aipoch/medical-research-skills --skill radiology-image-quiz -a claude-code`. Or copy the skill folder (scientific-skills/Academic Writing/radiology-image-quiz in aipoch/medical-research-skills) into .claude/skills/radiology-image-quiz in your project. Claude Code loads it when a task matches its description.
How do I install Radiology Image Quiz in Codex?
Run `npx skills add aipoch/medical-research-skills --skill radiology-image-quiz -a codex`. Or copy the skill folder (scientific-skills/Academic Writing/radiology-image-quiz in aipoch/medical-research-skills) into .agents/skills/radiology-image-quiz in your project. Codex loads it when a task matches its description.
Can I use Radiology Image Quiz 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 aipoch/medical-research-skills --skill radiology-image-quiz -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-image-quiz, .gemini/skills/radiology-image-quiz, .github/skills/radiology-image-quiz and .opencode/skills/radiology-image-quiz in your project.
What does Radiology Image Quiz need to run?
Going by SKILL.md and its folder, Radiology Image Quiz needs Python for the scripts in its folder and the command-line tools its instructions call (python). Our summary lists: Python 3.
Does Radiology Image Quiz 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 Image Quiz 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 Image Quiz use?
Radiology Image Quiz is published under the MIT licence (declared in SKILL.md). It allows redistribution, so the full SKILL.md is shown on this page.
How many tokens does Radiology Image Quiz 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 194 tokens, read only when the agent opens those files.
What are the alternatives to Radiology Image Quiz?
Skills that share tags, products or a category with Radiology Image Quiz: DeepTutor CLI (HKUDS/DeepTutor, 41k stars), AI Engineering Placement Quiz (rohitg00/ai-engineering-from-scratch, 67k stars), Codebase to Course (zarazhangrui/codebase-to-course, 5.7k stars) and AI Engineering Phase Quiz (rohitg00/ai-engineering-from-scratch, 67k stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.
Who maintains Radiology Image Quiz?
aipoch (a GitHub organization) maintains it in aipoch/medical-research-skills, which has 1,937 GitHub stars. The repository holds 578 skills in this directory. The repository was last updated on September 17, 2026.
Source: aipoch/medical-research-skills on GitHub. Facts on this page come from the repository at the commit we read; the author's words are quoted as theirs.