Content
31%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 has a clear high-level structure and explicit sequencing, but is undercut by non-executable stub code, verbosity, missing batch-operation validation checkpoints, and dangling references to bundle files that do not exist.
Suggestions
Replace the comment-only stub functions (pearsonCorrelation, detectChangePoints, assessRisks, etc.) with actual executable implementations or remove them in favor of concrete worked examples.
Add explicit validation checkpoints to the workflow — e.g. after data loading, verify each source is non-empty within the time range and abort with the documented 'data insufficient' message before proceeding to analysis.
Create the referenced data-sources.md, algorithms.md, and examples.md files (or remove the references) and move the inlined algorithm descriptions and example output templates into them to keep SKILL.md a lean overview.
| Dimension | Reasoning | Score |
|---|---|---|
Conciseness | The body is noticeably verbose — a ~50-line ASCII box-art report template, exhaustive feature lists, and conceptual padding (explaining what Pearson correlation / CUSUM are) that Claude already knows and could be trimmed substantially. | 2 / 5 |
Actionability | Core analysis code blocks are stubs with only comments (e.g. 'function pearsonCorrelation(x, y) { // 计算相关系数 }', '// 使用统计方法检测显著变化点'), not executable; only the filterByDate snippet is real, so guidance is mostly non-executable. | 2 / 5 |
Workflow Clarity | Steps 1–8 are clearly sequenced with a data-source table and error-handling section, but this batch operation over many files generating an HTML report lacks explicit validation checkpoints between steps, capping clarity at 3. | 3 / 5 |
Progressive Disclosure | The body references data-sources.md, algorithms.md, and examples.md, none of which exist in the bundle (references/, scripts/, assets/ are absent), and bulk content that should be split out is inlined in SKILL.md. | 2 / 5 |
Total | 9 / 20 Passed |