Content
72%Reviews the quality of instructions and guidance provided to agents. Good implementation is clear, handles edge cases, and produces reliable results.
The skill delivers tight, executable code in a clear four-step flow with good organization. Its main weaknesses are hard-coded assumptions that hurt actionability and the absence of any validation/verification checkpoint around the destructive highlight-and-save step.
Suggestions
Parameterize or derive the target/value columns and target sheet (e.g. detect the limit column by header, or document the assumed layout explicitly) instead of hard-coded indices and 'Sheet3'.
Add a validation checkpoint before saving: verify exceed_rows/error_cells were found as expected and confirm wb/output paths before calling wb.save().
Include the missing preamble (loading df from the workbook and opening wb with openpyxl) so the snippets run end-to-end without inference.
| Dimension | Reasoning | Score |
|---|---|---|
Conciseness | The body is lean: four short numbered steps each with focused, executable Python and only minimal inline comments, with no padding explaining concepts Claude already knows. | 3 / 3 |
Actionability | Code is concrete and mostly copy-paste ready, but relies on hard-coded assumptions ('假设特征列在第一列', value_col=8, wb['Sheet3']) and omits the df/wb setup, leaving key details unverified. | 2 / 3 |
Workflow Clarity | The four steps are sequenced, but a destructive batch operation (highlight rows + save file) has no validation or verification checkpoint, which caps workflow clarity at 2 per the rubric. | 2 / 3 |
Progressive Disclosure | A single self-contained file with well-organized labeled steps and no external references; for a simple skill under the line this meets the bar without splitting. | 3 / 3 |
Total | 10 / 12 Passed |