Content
75%Weight 40%Scale 1-5Reviews the quality of instructions and guidance provided to agents. Good implementation is clear, handles edge cases, and produces reliable results.
The content is a lean, well-structured, actionable instruction set with a clear sequenced workflow and named validation checkpoints; its main gaps are an implicit rather than explicit error-retry loop and an external reference that points to a missing file.
Suggestions
Make the validation feedback loop explicit (e.g. "若约束校验失败，修正后重跑并复校，直到通过再进入下一步").
Verify the ../_references/math_modeling_norms.md path resolves, or move the norms into a bundled references/ file the skill ships with.
Tighten the "典型图表" enumeration into a compact mapping so each problem type maps to one or two chart kinds.
| Dimension | Reasoning | Score |
|---|---|---|
Conciseness | The body is efficient and assumes Claude's competence — short intro, stage boundaries, four steps, a compact report skeleton, and chart requirements — with only minor list-heavy prose ("典型图表" enumerations) that could be trimmed. | 4 / 5 |
Actionability | Concrete, specific guidance throughout: named code/ and figures/ directories, a RESULTS_REPORT.md section skeleton, per-problem-type chart lists, and PDF/caption rules; gaps are the deliberately loose "不强制固定脚本名" and the absence of any code stubs. | 4 / 5 |
Workflow Clarity | A clear four-step sequence with a per-subproblem 6-item checklist and named checkpoints (验证约束、校验结果、约束与一致性校验), but the validate→fix→re-run feedback loop is only implicit rather than an explicit retry loop. | 4 / 5 |
Progressive Disclosure | Well-organized sections with a clearly signaled one-level-deep reference to the math_modeling_norms.md knowledge base; minor gaps are that no bundle files exist and the referenced ../_references path does not resolve to a real file. | 4 / 5 |
Total | 16 / 20 Passed |