Content
68%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 an efficient, actionable five-step Python pipeline with concrete code, but it lacks validation/verification checkpoints for its batch and file-writing operations, which caps workflow clarity, and offers no orchestration example tying the functions together.
Suggestions
Add validation checkpoints between steps — e.g. assert crosstab row/col sums, verify no unexpected NaNs after dropna, and confirm the Excel file was written — to lift workflow clarity above 3.
Include a short orchestration example showing how to chain preprocess → crosstab → heatmap → insights → export so the functions are immediately runnable end-to-end.
Move the Jupyter-specific FileLink export behind a fallback (or note the environment assumption) so the export step is executable in non-notebook contexts.
| Dimension | Reasoning | Score |
|---|---|---|
Conciseness | The body is lean — five short step descriptions each paired with a focused code block, and code comments highlight techniques ('关键技巧：处理合并单元格', '关键技巧：中文字体配置') rather than explaining basic concepts — though a few explanatory comments like 'div(axis=1) 表示按列求和后进行除法' could be trimmed. | 4 / 5 |
Actionability | Five complete, copy-paste-ready Python functions with imports cover the common pipeline (preprocess, crosstab, heatmap, insights, export), but there is no orchestration example chaining them and export relies on IPython FileLink, which are minor gaps. | 4 / 5 |
Workflow Clarity | Steps are clearly sequenced Step1–Step5, but this batch data pipeline (dropna silently dropping rows, overwriting Excel output) has no validation checkpoints or error-recovery feedback loops, so workflow clarity is capped at 3 per the destructive/batch guideline. | 3 / 5 |
Progressive Disclosure | Content is well-organized into five labeled step sections and is appropriately self-contained with no external references needed; it sits just over the simple-skill line, so structure is good but not the ideal clear-overview-with-one-level-references pattern. | 4 / 5 |
Total | 15 / 20 Passed |