Content
50%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 first three steps are concrete and runnable, but the skill is truncated before its key openpyxl-styling step and contains no validation checkpoints for its batch/destructive operations. Structure is minimal and would benefit from proper headers.
Suggestions
Complete Step 4: the openpyxl styling/export code is missing and the section ends mid-sentence ('对原始文件中'), so the skill never delivers its stated core purpose.
Add validation checkpoints (e.g. verify cleaned-row count, confirm filter result count, assert the exported .xlsx opens) — this is a batch/destructive workflow and currently lacks any verification loop.
Replace plain 'Step1/Step2' labels with proper markdown headers (##) and add a brief summary/overview so the single-file structure is easier to navigate.
| Dimension | Reasoning | Score |
|---|---|---|
Conciseness | Mostly efficient, but the Chinese prose before each code block restates what the code does (e.g. "强制转换数值类型，无法转换的内容变为 NaN 并删除") and several inline comments duplicate the code's intent. | 3 / 5 |
Actionability | Steps 1–3 provide complete, executable pandas code, but Step 4 — the openpyxl styling/export that is the skill's core deliverable — is truncated mid-sentence with no code at all, leaving key details missing. | 3 / 5 |
Workflow Clarity | A Step1–Step4 sequence is present, but there are no validation checkpoints and Step 4 is cut off; the rubric caps workflow_clarity at 3 for batch/destructive operations lacking validation, and this cap applies. | 3 / 5 |
Progressive Disclosure | The skill is a single ~50-line file with step numbering, but it uses plain 'Step1/Step2' labels instead of markdown headers, has no clear section structure, and the one reference (to a 'parent workflow SKILL.md') is not a discoverable local file. | 3 / 5 |
Total | 12 / 20 Passed |