Content
63%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 body is highly actionable with concrete commands and a clear execution workflow, but it is verbose from repeated data-source descriptions and monolithic with no progressive disclosure to separate reference files.
Suggestions
Deduplicate the data-source information — keep one authoritative table and remove the repeated descriptions in 核心能力 and 配置说明.
Move the full report template and the Python API reference into separate reference files (e.g. TEMPLATE.md, API.md) and link to them from SKILL.md to enable progressive disclosure.
Add an explicit validation checkpoint in 执行步骤 (e.g. confirm the REPORT_FILE path exists and handle missing email config) to strengthen the workflow feedback loop.
| Dimension | Reasoning | Score |
|---|---|---|
Conciseness | Mostly efficient and domain-specific rather than explaining basics, but data sources are described three times (核心能力 table, 数据源说明 table, 配置说明) and a full report template plus API reference are inlined, so it could be meaningfully tightened. | 3 / 5 |
Actionability | Provides copy-paste-ready commands (`python .../run_report.py daily --save` etc.) covering daily/weekly/monthly cases plus concrete Python API examples, with only minor gaps around the un-bundled module implementations. | 4 / 5 |
Workflow Clarity | The numbered 执行步骤 section gives a clear sequence with a concrete REPORT_FILE: output-parsing checkpoint; validation is mostly implicit with minor gaps, but the operation is read-only/non-destructive so the destructive-cap does not apply. | 4 / 5 |
Progressive Disclosure | It is well-organized with clear section headers, but at ~290 lines it is monolithic with no external file references and reference material (full template, API reference, directory tree) inlined, so it does not meet the <50-line simple-skill exception. | 3 / 5 |
Total | 14 / 20 Passed |