funding-trend-forecaster
Analyze funding abstracts and project metadata to identify topic shifts and forecast near-term grant priorities.
Veto GatesRequired pass for any deployment consideration
| Dimension | Result | Detail |
|---|---|---|
| Scientific Integrity | PASS | The legacy review kept outputs in proposal or planning mode rather than presenting them as completed experimental findings. |
| Practice Boundaries | PASS | The legacy review kept this workflow on the evidence-access side of the boundary, not the advice-giving side. |
| Methodological Ground | PASS | No methodological-grounding issue was recorded for funding-trend-forecaster in the archived evaluation. |
| Code Usability | PASS | The legacy audit did not flag code-usability issues for the packaged funding-trend-forecaster workflow. |
Core Capability88 / 100 — 8 Categories
Medical TaskExecution Average: 83.6 / 100 — Assertions: 18/20 Passed
Analyze funding abstracts and project metadata to identify topic... remained well-aligned with the documented contract in the preserved audit.
The archived evaluation treated Use this skill for evidence insight tasks that require explicit... as a clean in-scope run.
For Analyze funding abstracts and project metadata to identify topic..., the preserved evidence is lightweight but positive: the packaged validation command behaved as expected.
The archived evaluation treated Packaged executable path(s): scripts/main.py as a clean in-scope run.
The preserved weakness for End-to-end case for Scope-focused workflow aligned to: Analyze funding abstracts and project metadata to identify topic shifts and forecast near-term grant priorities was concentrated in one point: 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