cross-disciplinary-bridge-finder
Use when identifying collaboration opportunities across fields, finding experts in complementary disciplines, translating methodologies between scientific domains, or building interdisciplinary research teams. Identifies synergies between scientific disciplines, matches researchers with complementary expertise, and facilitates cross-domain collaborations. Supports interdisciplinary grant applications and innovative research team formation.
Veto GatesRequired pass for any deployment consideration
| Dimension | Result | Detail |
|---|---|---|
| Scientific Integrity | PASS | Scientific content remained anchored to fetched metadata or source-linked evidence in the legacy review. |
| Practice Boundaries | PASS | The package stayed in retrieval, extraction, or evidence-organization scope rather than drifting into unsupported interpretation. |
| Methodological Ground | PASS | The legacy audit preserved a method-grounded interpretation of the Use when identifying collaboration opportunities across fields, finding experts in complementary disciplines, translating methodologies between scientific domains, or building interdisciplinary research teams. Identifies synergies between scientific disciplines, matches researchers with complementary expertise, and facilitates cross-domain collaborations. Supports interdisciplinary grant applications and innovative research team formation workflow. |
| Code Usability | PASS | Code usability passed because the search or lookup workflow still exposed a usable entrypoint and output expectation. |
Core Capability88 / 100 — 8 Categories
Medical TaskExecution Average: 83.6 / 100 — Assertions: 18/20 Passed
The Use when identifying collaboration opportunities across fields,... scenario completed within the documented Use when identifying collaboration opportunities across fields, finding experts in... boundary.
The Use this skill for evidence insight tasks that require explicit... scenario completed within the documented Use when identifying collaboration opportunities across fields, finding experts in... boundary.
For Use when identifying collaboration opportunities across fields,..., the preserved evidence is lightweight but positive: the packaged validation command behaved as expected.
The Packaged executable path(s): scripts/main.py scenario completed within the documented Use when identifying collaboration opportunities across fields, finding experts in... boundary.
This stress case was mostly intact, but the archived review centered its concern on: 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