Content
61%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 concise and well-structured with real executable code, but the code has missing imports/undefined variables and the workflow lacks validation checkpoints for a batch data operation. Adding setup context and verification steps would meaningfully raise quality.
Suggestions
Make the code copy-paste ready by including the missing imports (`import pandas as pd`, `import os`) and defining `df` (e.g., `pd.read_excel`) and `target_sheet` before they are used.
Add validation checkpoints: verify the target column was found (handle the `None` case explicitly), confirm cleaning produced expected results, and validate the output file before reporting success.
Tighten the placeholder comment in Step1 ('目标清洗列 # 占位示例') into a concrete, reusable parameter so the example is immediately actionable.
| Dimension | Reasoning | Score |
|---|---|---|
Conciseness | The body is lean and code-forward with minimal prose, assuming Claude's competence; only minor trimmable elements remain (the parent-workflow blockquote and a loose placeholder comment), placing it at 'efficient; minor instances of over-explanation'. | 4 / 5 |
Actionability | Concrete Python is provided rather than pseudocode, but it is not copy-paste executable: `pd` and `os` are used without imports, and `df`/`target_sheet` are referenced without being defined, so key execution details are missing. | 3 / 5 |
Workflow Clarity | Steps are clearly sequenced (Step1/Step2/Step3), but this is a batch data-transformation skill with no validation or verification checkpoints (no check that cleaning succeeded, no output validation); the rubric caps such skills at 3. | 3 / 5 |
Progressive Disclosure | Content is well-organized into labeled step sections within a single file, with one clearly signaled reference to the parent workflow SKILL.md; no bundle files exist to warrant deeper structure, so it sits just below the 'clear overview with well-signaled one-level references' bar. | 4 / 5 |
Total | 14 / 20 Passed |