Content
46%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 skill is richly actionable with real algorithms and concrete data schemas, but it is held back by heavy verbosity and a monolithic structure with no progressive disclosure. The workflow lacks explicit validation checkpoints despite involving statistical analysis.
Suggestions
Move the full worked example report and the algorithm code into separate reference files under ./references/ and link to them from the body, keeping SKILL.md as a lean overview.
Trim or compress the illustrative sample report; it is padding that competes with the context window without teaching Claude anything new.
Add explicit validation/checkpoint steps to the '执行步骤' workflow (e.g. verify data completeness, sanity-check correlation p-values before reporting) to lift workflow clarity above 3.
| Dimension | Reasoning | Score |
|---|---|---|
Conciseness | The body is noticeably verbose: a ~330-line fully-worked sample report (trend charts, tables, every correlation, long-term goals) and full Python algorithms pad the context with illustrative output and concepts Claude already understands. | 2 / 5 |
Actionability | It provides concrete, mostly-executable Python (calculate_sleep_quality_score, calculate_correlation) plus specific data file paths and thresholds (latency >30min, STOP-BANG ≥3), with only minor gaps such as undefined helper functions and an unimported scipy dependency. | 4 / 5 |
Workflow Clarity | The '执行步骤' section sequences four steps (确定范围→读取数据→数据分析→生成报告) and lists data sources, but there are no validation/verification checkpoints for the statistical analysis or output, leaving checkpoints implicit. | 3 / 5 |
Progressive Disclosure | No bundle/reference files exist, so everything is inlined into one monolithic file; the full example report and algorithm reference clearly belong in separate reference files, and references are bare URLs rather than signaled file links. | 2 / 5 |
Total | 11 / 20 Passed |