western-blot-quantifier
Automatically identify Western Blot gel bands, perform densitometric analysis, and calculate normalized values relative to loading controls.
Veto GatesRequired pass for any deployment consideration
| Dimension | Result | Detail |
|---|---|---|
| Scientific Integrity | PASS | Scientific integrity held because extraction and analysis outputs stayed tied to provided text, metadata, or runtime evidence rather than invented study findings. |
| Practice Boundaries | PASS | The evaluated outputs stayed inside the Automatically identify Western Blot gel bands, perform densitometric analysis, and... and did not drift into unsupported interpretation beyond the available inputs. |
| Methodological Ground | PASS | Methodological grounding was preserved through the documented inputs, transformations, and expected artifacts. |
| Code Usability | PASS | The legacy audit did not record a code-usability failure in the packaged analysis path. |
Core Capability83 / 100 — 8 Categories
Medical TaskExecution Average: 87.2 / 100 — Assertions: 18/20 Passed
Automatically identify Western Blot gel bands, perform... remained well-aligned with the documented contract in the preserved audit.
The archived evaluation treated Use this skill for data analysis tasks that require explicit... as a clean in-scope run.
The archived run for Automatically identify Western Blot gel bands, perform... confirmed the helper entrypoint and left the workflow in a stable state.
The archived evaluation treated Packaged executable path(s): scripts/__init__.py plus 1 additional... as a clean in-scope run.
The preserved weakness for End-to-end case for Scope-focused workflow aligned to: Automatically identify Western Blot gel bands, perform densitometric analysis, and calculate normalized values relative to loading controls 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 83/100 and dynamic average is 87.2/100
- Assertions and command execution outcomes are recorded per input for human review