Content
67%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 a well-sequenced, executable five-step recipe with a built-in validation checkpoint and clean structure. Its main weakness is consistent comment padding that restates the code rather than adding new information.
Suggestions
Trim restating comments (e.g., the '处理逻辑' block on convert_percentage and the DataFrame-construction prose) so comments only carry information the code does not already show, lifting conciseness toward 4-5.
Replace the hardcoded example data with a short, generic extraction snippet (e.g., reading a DataFrame column) so the actionability covers real input sources, reaching anchor 5.
Add a brief validate→fix→retry note around the final_check step to introduce an explicit feedback loop, which would move workflow_clarity toward 5.
| Dimension | Reasoning | Score |
|---|---|---|
Conciseness | Code is mostly efficient but nearly every step carries a prose comment that restates what the code already shows (e.g., '处理逻辑：去除百分号并转换为 float'), matching anchor 3 rather than the 'minor instances' of anchor 4. | 3 / 5 |
Actionability | Provides fully executable, copy-paste-ready Python across all five steps with the stacked 'bottom' logic spelled out, but the data-source step is a hardcoded example with a 'replace in real use' note, a minor gap keeping it below anchor 5. | 4 / 5 |
Workflow Clarity | Five steps are clearly sequenced and Step3 includes an explicit 'final_check' validation checkpoint, fitting anchor 4; no error-recovery feedback loop is present, so it does not reach anchor 5. | 4 / 5 |
Progressive Disclosure | A single self-contained SKILL.md with a clear H1 and five well-organized numbered steps, no nested references and no misplaced content; over 50 lines but genuinely needs no external files, fitting anchor 4 with minor structure gaps. | 4 / 5 |
Total | 15 / 20 Passed |