mechanism-flowchart
Veto GatesRequired pass for any deployment consideration
| Dimension | Result | Detail |
|---|---|---|
| Scientific Integrity | PASS | No scientific-integrity problem was surfaced because the package did not claim more than the available records, article text, or script evidence supported. |
| Practice Boundaries | PASS | Practice boundaries held because the package remained focused on Generates Mermaid flowchart code and visual diagrams for pathophysiological rather than overclaiming what the records supported. |
| Methodological Ground | PASS | The legacy review kept the package aligned with its named analysis library, data structure, or processing workflow. |
| Code Usability | PASS | The legacy audit did not record a code-usability failure in the packaged analysis path. |
Core Capability88 / 100 — 8 Categories
Medical TaskExecution Average: 89.6 / 100 — Assertions: 18/20 Passed
The archived evaluation treated Generates Mermaid flowchart code and visual diagrams for... as a clean in-scope run.
The archived evaluation treated Use this skill for data analysis tasks that require explicit... as a clean in-scope run.
The Generates Mermaid flowchart code and visual diagrams for... scenario completed within the documented Generates Mermaid flowchart code and visual diagrams for pathophysiological boundary.
The Packaged executable path(s): scripts/main.py scenario completed within the documented Generates Mermaid flowchart code and visual diagrams for pathophysiological boundary.
The preserved weakness for End-to-end case for Scope-focused workflow aligned to: Generates Mermaid flowchart code and visual diagrams for pathophysiological was concentrated in one point: The output stays within declared skill scope and target objective.
Key Strengths
- Primary routing is Data Analysis with execution mode B
- Static quality score is 88/100 and dynamic average is 89.6/100
- Assertions and command execution outcomes are recorded per input for human review