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 skill body is a concise, actionable four-step Python workflow with good organization, but it lacks validation/verification checkpoints for a batch file-writing operation, capping workflow clarity. Placeholder values in the code require substitution before execution.
Suggestions
Add validation/verification checkpoints — e.g., assert expected output files exist and re-read them to confirm row counts match the dedup results — before declaring the workflow complete.
Replace or clearly flag placeholder values (target_sheet, keywords, target_col_idx) so the code is closer to copy-paste ready, or add a brief note on how to obtain them from the input file.
| Dimension | Reasoning | Score |
|---|---|---|
Conciseness | The body is mostly lean code with brief inline comments and no padding of concepts Claude already knows; only minor over-explanation (e.g., repeated pandas imports, "使用 set 进行高效去重") could be trimmed. | 4 / 5 |
Actionability | Each step provides concrete, executable Python code that is mostly copy-paste ready, with only minor gaps from placeholder values ("关键词A", "关键词B", target_col_idx = 1) that the user must substitute. | 4 / 5 |
Workflow Clarity | The four steps (Step1–Step4) are clearly sequenced, but this batch/file-writing workflow has no validation or verification checkpoints, which per the guidelines caps workflow clarity at 3. | 3 / 5 |
Progressive Disclosure | Content is well-organized into clearly labeled steps with a one-level-deep pointer to the parent workflow SKILL.md; no bundle files exist to reference, and the structure is appropriate for this single-purpose sub-skill. | 4 / 5 |
Total | 15 / 20 Passed |