medical-translation
Veto GatesRequired pass for any deployment consideration
| Dimension | Result | Detail |
|---|---|---|
| Scientific Integrity | PASS | The archived evaluation preserved source-faithful writing behavior without adding unsupported results or conclusions. |
| Practice Boundaries | PASS | Practice boundaries held because the package kept to Use medical translation for academic writing workflows that need structured execution,... instead of claiming new evidence. |
| Methodological Ground | PASS | No methodological-grounding issue was recorded for medical-translation in the archived evaluation. |
| Code Usability | N/A | This package is judged mainly on writing behavior, so code usability is not a central evaluation target here. |
Core Capability88 / 100 — 8 Categories
Medical TaskExecution Average: 83.6 / 100 — Assertions: 18/20 Passed
The Use medical translation for academic writing workflows that need... scenario completed within the documented Use medical translation for academic writing workflows that need structured execution,... boundary.
The Use this skill for academic writing tasks that require explicit... scenario completed within the documented Use medical translation for academic writing workflows that need structured execution,... boundary.
The archived evaluation treated Use medical translation for academic writing workflows that need... as a clean in-scope run.
The archived evaluation treated Packaged executable path(s): scripts/main.py plus 1 additional script(s) as a clean in-scope run.
The preserved weakness for End-to-end case for Scope-focused workflow aligned to: Use medical translation for academic writing workflows that need structured execution, explicit assumptions, and clear output boundaries 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