Detect whether approved modeling code is Python or MATLAB/Beita Tianyuan and route it to the matching reviewer using the compact named-check review contract.
中文简介正在准备中。当前显示原文说明。
Review, run, debug, and verify approved MATLAB or Beita Tianyuan modeling code against its plan, data contract, method decision, compatibility constraints, and experiment outputs, saving one compact JSON review.
中文简介正在准备中。当前显示原文说明。
查看安装方法安装前可以查看交给 AI 代理的指令内容。
code/matlab/Qx/qx_code_plan.md exist.syntaxinput_contractmethod_alignmentreproducibilityoutput_contractjsonencode, file I/O, plotting/export, and 北太天元 constraints.NOT_RUN rather than claiming execution success.code/matlab/Qx/reviews/qx_matlab_review.json.Use the same schema as python-code-reviewer, with:
"language": "matlab"runtimecompatibility_targetcompatibility checkRequired named checks use PASS, FAIL, or justified NOT_APPLICABLE. Runtime-dependent checks use NOT_RUN when execution was impossible; this blocks G3 until executed.
还没有评价。欢迎分享你的使用感受。
无需登录即可发表。欢迎分享使用感受、提问,或说明在哪些环境下无法运行。
还没有评论。来写第一条吧。
Detect whether approved modeling code is Python or MATLAB/Beita Tianyuan and route it to the matching reviewer using the compact named-check review contract.
中文简介正在准备中。当前显示原文说明。
Audit whether the semantic evidence required by the active lean or submission profile exists and is current, without requiring one verbose artifact per skill or an arbitrary number of pass bullets.
中文简介正在准备中。当前显示原文说明。
Run scoped or final cross-media consistency checks for mathematical-modeling artifacts, comparing canonical numbers, symbols, parameters, decisions, files, and paper claims without performing full-workspace audits for low-risk changes.
中文简介正在准备中。当前显示原文说明。
Map contest attachments to subquestions, audit and clean raw data, and emit one reusable data profile with quality, coverage, imbalance, concentration, and method-readiness evidence for downstream risk screening.
中文简介正在准备中。当前显示原文说明。
Build one compact choice card at a genuine mathematical-modeling judgment point. Use before method screening, after a meaningful experiment, or before final claim/freeze approval so the human chooses the trade-off while AI handles mechanical consequences.
中文简介正在准备中。当前显示原文说明。
Plan the smallest set of diagnostic, comparison, paper, and appendix figures or tables needed to support verified mathematical-modeling decisions and claims.
中文简介正在准备中。当前显示原文说明。