Usmle Case Generator

Generate USMLE Step 1/2 style clinical cases with patient history, physical exam, lab results, and diagnosis options. Trigger when user requests medical case studies, USMLE practice questions, clinical vignettes, or medical board exam preparation materials.

majiayu000 Updated Sep 9, 2026 567 repo stars

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$ npx skillmds@latest add majiayu000/usmle-case-generator

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Last audited Sep 24, 2026 · commit ed37f1c

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Documentation only
No scripts, network access, or credentials are involved.

License: MIT
Works with: Claude Code Claude.ai OpenAI Codex +

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USMLE Case Generator

Generate USMLE Step 1 and Step 2 CK style clinical cases for medical education and board exam preparation.

Features

Step 1 Cases: Basic science concepts, pathophysiology, pharmacology
Step 2 Cases: Clinical diagnosis, management, next best steps
Complete Vignettes: History, physical exam, labs, imaging
Multiple Choice Questions: Single best answer format
Answer Explanations: Detailed rationale for learning

Usage

# Generate a Step 1 case (pathophysiology focus)
python scripts/main.py --step 1 --topic cardiology --difficulty medium

# Generate a Step 2 case (clinical management focus)
python scripts/main.py --step 2 --topic nephrology --include-diagnosis

# Generate case with specific conditions
python scripts/main.py --step 2 --condition "diabetic ketoacidosis" --format json

Parameters

Parameter	Options	Description
`--step`	1, 2	USMLE Step level
`--topic`	See references/topics.json	Medical specialty
`--condition`	Any condition	Specific disease/condition
`--difficulty`	easy, medium, hard	Case complexity
`--format`	text, json, markdown	Output format
`--include-diagnosis`	flag	Include answer key
`--count`	1-10	Number of cases to generate

Topics Covered

Cardiology
Pulmonology
Gastroenterology
Nephrology
Endocrinology
Hematology/Oncology
Infectious Disease
Neurology
Psychiatry
Musculoskeletal
Dermatology
Obstetrics/Gynecology
Pediatrics
Surgery

Case Structure

Each generated case includes:

Patient Demographics: Age, gender, relevant background
Chief Complaint: Presenting problem
History of Present Illness: Detailed symptom timeline
Past Medical History: Relevant comorbidities
Medications: Current drug regimen
Allergies: Drug/environmental allergies
Family History: Genetic conditions
Social History: Smoking, alcohol, occupation
Physical Examination: Vital signs, relevant findings
Laboratory Studies: CBC, CMP, specific markers
Imaging/Diagnostics: X-ray, CT, ECG, etc.
Question: USMLE-style multiple choice
Answer Options: 5 choices (A-E)
Correct Answer: With detailed explanation
Educational Objectives: Key learning points

Output Formats

Text Format (Default)

Plain text suitable for printing or reading.

JSON Format

Structured data for integration with applications.

Markdown Format

Formatted for documentation or web display.

Technical Difficulty

High - Requires medical knowledge validation and clinical accuracy.

⚠️ Manual Review Required: Generated cases should be reviewed by medical professionals before use in high-stakes educational settings.

References

references/topics.json - Medical specialty taxonomy
references/case_templates.json - Case structure templates
references/usmle_patterns.md - USMLE question patterns
references/conditions/ - Condition-specific case data

Example Output

Case: A 58-year-old male with chest pain

A 58-year-old man presents to the emergency department with 
crushing substernal chest pain radiating to his left arm, 
beginning 2 hours ago at rest...

[History, physical, labs, ECG findings...]

Question: What is the most appropriate next step in management?

A. Administer aspirin and nitroglycerin
B. Order CT pulmonary angiography
C. Perform immediate synchronized cardioversion
D. Start heparin drip and call cardiology
E. Discharge with outpatient stress test

Correct Answer: D
Explanation: [Detailed rationale...]

Safety & Limitations

Cases are AI-generated and may contain inaccuracies
Not a substitute for professional medical education
Always verify clinical details with authoritative sources
Intended for educational purposes only

Dependencies

Python 3.8+
No external API dependencies (template-based generation)
Optional: LLM integration for case variation

Risk Assessment

Risk Indicator	Assessment	Level
Code Execution	Python/R scripts executed locally	Medium
Network Access	No external API calls	Low
File System Access	Read input files, write output files	Medium
Instruction Tampering	Standard prompt guidelines	Low
Data Exposure	Output files saved to workspace	Low

Security Checklist

No hardcoded credentials or API keys
No unauthorized file system access (../)
Output does not expose sensitive information
Prompt injection protections in place
Input file paths validated (no ../ traversal)
Output directory restricted to workspace
Script execution in sandboxed environment
Error messages sanitized (no stack traces exposed)
Dependencies audited

Prerequisites

# Python dependencies
pip install -r requirements.txt

Evaluation Criteria

Success Metrics

Successfully executes main functionality
Output meets quality standards
Handles edge cases gracefully
Performance is acceptable

Test Cases

Basic Functionality: Standard input → Expected output
Edge Case: Invalid input → Graceful error handling
Performance: Large dataset → Acceptable processing time

Lifecycle Status

Current Stage: Draft
Next Review Date: 2026-03-06
Known Issues: None
Planned Improvements:
- Performance optimization
- Additional feature support

---name: usmle-case-generatordescription: Generate USMLE Step 1/2 style clinical cases with patient history, physical exam, lab results, and diagnosis options. Trigger when user requests medical case studies, USMLE practice questions, clinical vignettes, or medical board exam preparation materials.license: MIT--- # USMLE Case Generator Generate USMLE Step 1 and Step 2 CK style clinical cases for medical education and board exam preparation. ## Features - **Step 1 Cases**: Basic science concepts, pathophysiology, pharmacology - **Step 2 Cases**: Clinical diagnosis, management, next best steps - **Complete Vignettes**: History, physical exam, labs, imaging - **Multiple Choice Questions**: Single best answer format - **Answer Explanations**: Detailed rationale for learning ## Usage ```python # Generate a Step 1 case (pathophysiology focus) python scripts/main.py --step 1 --topic cardiology --difficulty medium # Generate a Step 2 case (clinical management focus) python scripts/main.py --step 2 --topic nephrology --include-diagnosis # Generate case with specific conditions python scripts/main.py --step 2 --condition "diabetic ketoacidosis" --format json ``` ## Parameters | Parameter | Options | Description | |-----------|---------|-------------| | `--step` | 1, 2 | USMLE Step level | | `--topic` | See references/topics.json | Medical specialty | | `--condition` | Any condition | Specific disease/condition | | `--difficulty` | easy, medium, hard | Case complexity | | `--format` | text, json, markdown | Output format | | `--include-diagnosis` | flag | Include answer key | | `--count` | 1-10 | Number of cases to generate | ## Topics Covered - Cardiology - Pulmonology - Gastroenterology - Nephrology - Endocrinology - Hematology/Oncology - Infectious Disease - Neurology - Psychiatry - Musculoskeletal - Dermatology - Obstetrics/Gynecology - Pediatrics - Surgery ## Case Structure Each generated case includes: 1. **Patient Demographics**: Age, gender, relevant background 2. **Chief Complaint**: Presenting problem 3. **History of Present Illness**: Detailed symptom timeline 4. **Past Medical History**: Relevant comorbidities 5. **Medications**: Current drug regimen 6. **Allergies**: Drug/environmental allergies 7. **Family History**: Genetic conditions 8. **Social History**: Smoking, alcohol, occupation 9. **Physical Examination**: Vital signs, relevant findings 10. **Laboratory Studies**: CBC, CMP, specific markers 11. **Imaging/Diagnostics**: X-ray, CT, ECG, etc. 12. **Question**: USMLE-style multiple choice 13. **Answer Options**: 5 choices (A-E) 14. **Correct Answer**: With detailed explanation 15. **Educational Objectives**: Key learning points ## Output Formats ### Text Format (Default) Plain text suitable for printing or reading. ### JSON Format Structured data for integration with applications. ### Markdown Format Formatted for documentation or web display. ## Technical Difficulty **High** - Requires medical knowledge validation and clinical accuracy. ⚠️ **Manual Review Required**: Generated cases should be reviewed by medical professionals before use in high-stakes educational settings. ## References - `references/topics.json` - Medical specialty taxonomy - `references/case_templates.json` - Case structure templates - `references/usmle_patterns.md` - USMLE question patterns - `references/conditions/` - Condition-specific case data ## Example Output ``` Case: A 58-year-old male with chest pain A 58-year-old man presents to the emergency department with crushing substernal chest pain radiating to his left arm, beginning 2 hours ago at rest... [History, physical, labs, ECG findings...] Question: What is the most appropriate next step in management? A. Administer aspirin and nitroglycerin B. Order CT pulmonary angiography C. Perform immediate synchronized cardioversion D. Start heparin drip and call cardiology E. Discharge with outpatient stress test Correct Answer: D Explanation: [Detailed rationale...] ``` ## Safety & Limitations - Cases are AI-generated and may contain inaccuracies - Not a substitute for professional medical education - Always verify clinical details with authoritative sources - Intended for educational purposes only ## Dependencies - Python 3.8+ - No external API dependencies (template-based generation) - Optional: LLM integration for case variation ## Risk Assessment | Risk Indicator | Assessment | Level | |----------------|------------|-------| | Code Execution | Python/R scripts executed locally | Medium | | Network Access | No external API calls | Low | | File System Access | Read input files, write output files | Medium | | Instruction Tampering | Standard prompt guidelines | Low | | Data Exposure | Output files saved to workspace | Low | ## Security Checklist - [ ] No hardcoded credentials or API keys - [ ] No unauthorized file system access (../) - [ ] Output does not expose sensitive information - [ ] Prompt injection protections in place - [ ] Input file paths validated (no ../ traversal) - [ ] Output directory restricted to workspace - [ ] Script execution in sandboxed environment - [ ] Error messages sanitized (no stack traces exposed) - [ ] Dependencies audited ## Prerequisites ```bash # Python dependencies pip install -r requirements.txt ``` ## Evaluation Criteria ### Success Metrics - [ ] Successfully executes main functionality - [ ] Output meets quality standards - [ ] Handles edge cases gracefully - [ ] Performance is acceptable ### Test Cases 1. **Basic Functionality**: Standard input → Expected output 2. **Edge Case**: Invalid input → Graceful error handling 3. **Performance**: Large dataset → Acceptable processing time ## Lifecycle Status - **Current Stage**: Draft - **Next Review Date**: 2026-03-06 - **Known Issues**: None - **Planned Improvements**: - Performance optimization - Additional feature support

majiayu000/claude-skill-registry-data/tree/main/domains/usmle-case-generator commit ed37f1c599

Frequently asked questions

npx skillmds@latest add majiayu000/usmle-case-generator