usmle-case-generator
Veto GatesRequired pass for any deployment consideration
| Dimension | Result | Detail |
|---|---|---|
| Scientific Integrity | PASS | Scientific integrity remained intact because the package rewrote or structured material without fabricating findings. |
| Practice Boundaries | PASS | The archived review kept this package within Generate USMLE Step 1/2 style clinical cases with patient history, physical, not result fabrication or expert advice. |
| Methodological Ground | PASS | The legacy audit preserved a method-grounded interpretation of the Generate USMLE Step 1/2 style clinical cases with patient history, physical workflow. |
| Code Usability | PASS | The archived review found the packaged execution path for usmle-case-generator usable in its intended context. |
Core Capability88 / 100 — 8 Categories
Medical TaskExecution Average: 83.6 / 100 — Assertions: 18/20 Passed
The Generate USMLE Step 1/2 style clinical cases with patient history,... scenario completed within the documented Generate USMLE Step 1/2 style clinical cases with patient history, physical boundary.
The Use this skill for academic writing tasks that require explicit... scenario completed within the documented Generate USMLE Step 1/2 style clinical cases with patient history, physical boundary.
For Generate USMLE Step 1/2 style clinical cases with patient history,..., the preserved evidence is lightweight but positive: the packaged validation command behaved as expected.
Packaged executable path(s): scripts/main.py remained well-aligned with the documented contract in the preserved audit.
The preserved weakness for End-to-end case for Scope-focused workflow aligned to: Generate USMLE Step 1/2 style clinical cases with patient history, physical was concentrated in one point: The output stays within declared skill scope and target objective.
Key Strengths
- Primary routing is Academic Writing with execution mode B
- Static quality score is 88/100 and dynamic average is 83.6/100
- Assertions and command execution outcomes are recorded per input for human review