菜单
Review Radia application interfaces for Simulink-block wiring, DesignSpec-to-calc parity, explicit-trigger execution, durable result artifacts, and MATLAB-only sample objects. Use simulink-app-health as the production gate.
用 Codex 或 Claude 帮你安装 复制这段 Prompt，粘贴到 Codex、Claude 或其他助手里，让它检查 Skill 页面并帮你完成安装。
Four-machine Radia release gate. Use when the user asks for release-qud, release_quad, release_qud, post-release deploy, GitHub Release publication, or the Definition Of Done for Radia releases. Coordinates PyPI and Simulink release candidates across LAB, 100号機, mdx, and hibino via tools/release_qud.py.
Publish Radia's Simulink application library after verifying its five application blocks and tracked MATLAB-only samples. Use simulink-app-health before deploy/release-qud; Cubit's toolbar remains a separate deployment surface.
Verify Radia's production Simulink application blocks for EM, PCB, Motor, Stream Function, and IH. Use after changing buildLibrary, applicationSFunction, runApplication, application.py, a DesignSpec/calc script, the application interface manifest, or the tracked Simulink library; also use when a block does not run or leaves incomplete artifacts.
Take inventory of the radia package's proprietary Python and pybind API surface, classify API families under the Reduce Proprietary API Surface policy, and produce a committed audit plus phased reduction plan. Use after public API changes, before deprecation work, or for periodic read-only surface audits.
Historical deploy notes. Current Radia deploy/release uses release-qud plus cubit-plugin-install; do not follow old .ccl/Cubit-2025.3 recipes except for archaeology.
Verify GMSH .geo + .msh files generated by Radia panels BEFORE opening in the GUI. Catches invalid options (Mesh.Volumes), duplicate element IDs, missing Merge targets, node count mismatches. Run AFTER any calc_*.py edit that touches GMSH export, BEFORE clicking Open GMSH.
| name | panel-review |
| description | Review Radia application interfaces for Simulink-block wiring, DesignSpec-to-calc parity, explicit-trigger execution, durable result artifacts, and MATLAB-only sample objects. Use simulink-app-health as the production gate. |
Review the masked block, radia.simulink.application runner, DesignSpec,
headless calc_*.py, and tests as one contract. Prioritize silent parameter
drops, per-step Python calls, missing failure artifacts, and mismatched result
keys. MEX is optional and must not be assumed production-ready.
Run simulink-app-health. Run ipynb-gui-health separately for public docs
examples; notebooks are visualization and reproduction artifacts, not an
application interface.
