Content
100%Weight 40%Scale 1-3Reviews the quality of instructions and guidance provided to agents. Good implementation is clear, handles edge cases, and produces reliable results.
The content is tight, actionable, and well-sequenced with concrete executable bash, a validation feedback loop, and clean sectioning. It is a strong, copy-paste-ready workflow with no real conciseness or actionability weaknesses.
| Dimension | Reasoning | Score |
|---|---|---|
Conciseness | The body is lean and instruction-oriented — stage boundaries, required outputs, a 6-step workflow, a figure-type table, a self-check checklist, and a report template — with no filler explaining concepts Claude already knows, so every token earns its place. | 3 / 3 |
Actionability | Provides copy-paste-ready bash (heredoc XML generation, a DrawIO export command with command-v fallback), a checklist template, a figure-selection table, a report markdown template, and concrete self-check criteria; the XML skeleton is an explicitly justified structural template rather than vague pseudocode. | 3 / 3 |
Workflow Clarity | Six clearly sequenced steps with an explicit self-check/validation checkpoint in Step 5 and a fix-and-re-export feedback loop ('发现问题要修 .drawio 并重新导出'), plus an export-failure fallback in Step 4 — matching the clear-sequence-with-validation anchor. | 3 / 3 |
Progressive Disclosure | A single well-organized SKILL.md with clear section headers and one clearly-signaled one-level-deep external reference (../_references/math_modeling_norms.md); no bundle directories exist, so per the simple-skills note well-organized sections justify a 3. | 3 / 3 |
Total | 12 / 12 Passed |