tone-adjuster
Use when converting medical text between academic and patient-friendly tones, translating medical jargon for patients, adapting research papers for public audiences, or rewriting clinical notes for patient handouts. Maintains medical accuracy while adjusting readability level.
Veto GatesRequired pass for any deployment consideration
| Dimension | Result | Detail |
|---|---|---|
| Scientific Integrity | PASS | The legacy review did not flag invented scientific claims in the package's writing-oriented output. |
| Practice Boundaries | PASS | The evaluated outputs stayed inside the Use when converting medical text between academic and patient-friendly tones, translating... workflow rather than drifting into unsupported scientific interpretation. |
| Methodological Ground | PASS | No methodological-grounding issue was recorded for tone-adjuster 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 archived evaluation treated Use when converting medical text between academic and... as a clean in-scope run.
Use this skill for academic writing tasks that require explicit... remained well-aligned with the documented contract in the preserved audit.
The Use when converting medical text between academic and... scenario completed within the documented Use when converting medical text between academic and patient-friendly tones, translating... boundary.
The archived evaluation treated Packaged executable path(s): scripts/main.py as a clean in-scope run.
The main issue in this stress run was: 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