USMLE Case Scenario Generator
v1.0.0Generate USMLE Step 1/2 style clinical cases with patient history, physical.
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byAIpoch@aipoch-ai
MIT-0
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LicenseMIT-0 · Free to use, modify, and redistribute. No attribution required.
Security Scan
OpenClaw
Benign
high confidencePurpose & Capability
The name/description (USMLE case generation) matches the packaged assets: templates, guidelines, topics, and a Python script (scripts/main.py) that generates vignettes. No unrelated services, cloud APIs, or external credentials are requested.
Instruction Scope
SKILL.md instructs running the included Python script and validating inputs. It does not tell the agent to read arbitrary system files, environment secrets, or send data to external endpoints. The runtime steps and parameters are confined to generating and outputting cases.
Install Mechanism
There is no install spec; this is effectively an instruction-only skill with bundled code. The script relies only on Python standard library (no external downloads or archive extraction). No network-based installs or obscure URLs are present.
Credentials
The skill declares no required environment variables, credentials, or config paths. The code and SKILL.md do not reference secrets or unrelated environment variables.
Persistence & Privilege
Skill does not request always:true and does not modify other skills or system-wide settings. Default autonomous invocation is allowed by platform policy but the skill itself has no privileged persistence or configuration changes.
Scan Findings in Context
[pre_scan_injection_signals_none] expected: Static pre-scan detected no injection or suspicious regex hits. The packaged files are templates, docs, and a local Python script that uses only the standard library.
Assessment
This skill appears coherent and self-contained: it generates exam-style clinical cases from local templates and requires only Python. Before installing or running, consider: 1) verify the script locally (open scripts/main.py) and run python -m py_compile as suggested; 2) run it in a restricted/sandbox environment if you are unsure about provenance (the registry shows no homepage and an opaque owner ID); 3) remember generated cases are educational only and should not be used as clinical advice; and 4) review output for accuracy and potential hallucinations in clinical details before using for high-stakes study or assessment.Like a lobster shell, security has layers — review code before you run it.
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License
MIT-0
Free to use, modify, and redistribute. No attribution required.