Content
72%Reviews the quality of instructions and guidance provided to agents. Good implementation is clear, handles edge cases, and produces reliable results.
The body is a concise, mostly actionable two-step workflow with executable Python, but it is weakened by placeholder column names, a missing 'gc' import in Step2, and the absence of a validation checkpoint before saving the output.
Suggestions
Make the code fully executable by importing 'gc' in Step2 and showing how 'pd' and 'df' are obtained, or explicitly noting the assumed prerequisites.
Add a validation checkpoint in Step2 (e.g., verifying non-null counts or a quick head() check) before saving, to form a validate-then-save feedback loop.
Replace or clarify the placeholder column names ('需要转数字的文本列', '需要提取中文的列') with guidance on how to identify the correct columns dynamically.
| Dimension | Reasoning | Score |
|---|---|---|
Conciseness | The body is lean and code-driven with brief functional step descriptions and no padding or explanation of concepts Claude already knows, matching the 'lean and efficient' anchor. | 3 / 3 |
Actionability | Concrete executable functions are provided, but column names are placeholders requiring substitution and Step2 uses 'gc' without importing it, so the guidance is incomplete rather than fully copy-paste ready. | 2 / 3 |
Workflow Clarity | A clear two-step sequence (clean then save/download) is present, but Step2 writes a persistent output with no validation checkpoint confirming the cleaned result is correct, which caps workflow clarity at 2. | 2 / 3 |
Progressive Disclosure | No bundle files exist and the skill is short and single-purpose with clearly organized sections, so per the simple-skills note progressive disclosure can score 3 with well-organized sections alone. | 3 / 3 |
Total | 10 / 12 Passed |