Content
72%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 content is well-structured, executable, and appropriately concise for a compact single-purpose skill, with strong progressive disclosure. Its main weakness is the absence of validation checkpoints and error-recovery loops in a file-producing batch workflow, which caps workflow clarity.
Suggestions
Add validation checkpoints between steps, e.g. verify counts is non-empty before plotting and confirm output files were written successfully after saving.
Include an error-recovery feedback loop for the plotting steps (catch savefig failures, retry or report) to satisfy the feedback-loops requirement for batch operations.
Replace placeholder mapping keywords ('关键字A') with a concrete, documented mapping pattern or parameter so the example is directly usable.
| Dimension | Reasoning | Score |
|---|---|---|
Conciseness | Code is mostly efficient with comments largely reserved for non-obvious points (font fallbacks, plt.close memory handling); a few obvious restating comments like '# 绘制柱状图' and '# 饼图' could be trimmed, keeping it just below a 5. | 4 / 5 |
Actionability | Three complete, copy-paste-ready functions cover the common cases with real code; minor gaps include placeholder mapping keywords ('关键字A') and a pie color list capped at four entries, so it is not fully bulletproof. | 4 / 5 |
Workflow Clarity | Steps are clearly sequenced (Step1→Step2→Step3) but this batch/file-writing operation has no validation checkpoints or error-recovery feedback loops; per the rubric, missing validation in batch operations caps workflow_clarity at 3. | 3 / 5 |
Progressive Disclosure | This is a compact single-purpose skill with no bundle files, organized into three clearly headed steps; per the simple-skill scoring note, well-organized sections without external references can score 5. | 5 / 5 |
Total | 16 / 20 Passed |