lab-budget-forecaster
Veto GatesRequired pass for any deployment consideration
| Dimension | Result | Detail |
|---|---|---|
| Scientific Integrity | PASS | The archived review kept this workflow anchored to supplied data fields and observable execution behavior, not fabricated results. |
| Practice Boundaries | PASS | The evaluated outputs stayed inside the Use lab budget forecaster for data analysis workflows that need structured execution,... 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 | Code usability passed because the package still exposed a reviewable execution surface for its documented workflow. |
Core Capability83 / 100 — 8 Categories
Medical TaskExecution Average: 87.2 / 100 — Assertions: 18/20 Passed
The archived evaluation treated Use lab budget forecaster for data analysis workflows that need... as a clean in-scope run.
Use this skill for data analysis tasks that require explicit... remained well-aligned with the documented contract in the preserved audit.
For Use lab budget forecaster for data analysis workflows that need..., the preserved evidence is lightweight but positive: the packaged validation command behaved as expected.
Packaged executable path(s): scripts/main.py remained well-aligned with the documented contract in the preserved audit.
The preserved weakness for End-to-end case for Scope-focused workflow aligned to: Use lab budget forecaster for data analysis workflows that need structured execution, explicit assumptions, and clear output boundaries 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