unstructured-medical-text-miner
Mine unstructured clinical text from MIMIC-IV to extract diagnostic logic.
Veto GatesRequired pass for any deployment consideration
| Dimension | Result | Detail |
|---|---|---|
| Scientific Integrity | PASS | Scientific integrity held because the package framed recommendations as plans to be tested, not facts already established. |
| Practice Boundaries | PASS | The package stayed in retrieval, extraction, or evidence-organization scope rather than drifting into unsupported interpretation. |
| Methodological Ground | PASS | No methodological-grounding issue was recorded for unstructured-medical-text-miner in the archived evaluation. |
| Code Usability | PASS | The legacy audit did not flag code-usability issues for the packaged unstructured-medical-text-miner workflow. |
Core Capability88 / 100 — 8 Categories
Medical TaskExecution Average: 83.6 / 100 — Assertions: 18/20 Passed
The archived evaluation treated Mine unstructured clinical text from MIMIC-IV to extract diagnostic... as a clean in-scope run.
The Use this skill for evidence insight tasks that require explicit... scenario completed within the documented Mine unstructured clinical text from MIMIC-IV to extract diagnostic logic boundary.
The archived run for Mine unstructured clinical text from MIMIC-IV to extract diagnostic... confirmed the helper entrypoint and left the workflow in a stable state.
Packaged executable path(s): scripts/__init__.py plus 1 additional... remained well-aligned with the documented contract in the preserved audit.
The main issue in this stress run was: The output stays within declared skill scope and target objective.
Key Strengths
- Primary routing is Evidence Insight 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