moa-explainer
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 | The evaluated outputs stayed inside the Generate 3D animation scripts and lay explanations for drug mechanisms workflow rather than drifting into unsupported scientific interpretation. |
| Methodological Ground | PASS | The legacy audit preserved a method-grounded interpretation of the Generate 3D animation scripts and lay explanations for drug mechanisms workflow. |
| Code Usability | PASS | No code-usability failure was preserved for moa-explainer in the legacy evaluation. |
Core Capability88 / 100 — 8 Categories
Medical TaskExecution Average: 83.6 / 100 — Assertions: 18/20 Passed
The Generate 3D animation scripts and lay explanations for drug mechanisms scenario completed within the documented Generate 3D animation scripts and lay explanations for drug mechanisms boundary.
The Use this skill for academic writing tasks that require explicit... scenario completed within the documented Generate 3D animation scripts and lay explanations for drug mechanisms boundary.
The archived run for Generate 3D animation scripts and lay explanations for drug mechanisms confirmed the helper entrypoint and left the workflow in a stable state.
The Packaged executable path(s): scripts/main.py scenario completed within the documented Generate 3D animation scripts and lay explanations for drug mechanisms boundary.
The preserved weakness for End-to-end case for Scope-focused workflow aligned to: Generate 3D animation scripts and lay explanations for drug mechanisms 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