Content
86%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 body is exceptionally concise and gives concrete, tool-specific guidance with built-in safety reminders about real execution and external-instruction authorization. Its main gap is the absence of a small executable example and an explicit feedback loop for error recovery.
Suggestions
Add a one-line minimal `execute_python` example showing a reproducible script and its reported output to push actionability to 5.
Make the verification loop explicit (e.g. '若运行报错，修正脚本后重新运行，直到得到实际输出') to strengthen workflow_clarity.
Optionally add a short '## When to use' section so the body reinforces the skill's trigger conditions.
| Dimension | Reasoning | Score |
|---|---|---|
Conciseness | Lean and efficient with no padding or over-explanation of concepts Claude already knows; every token earns its place. | 5 / 5 |
Actionability | Gives concrete, actionable guidance (use `execute_python`, run minimal reproducible scripts, report real output/errors) but provides no copy-paste code example. | 4 / 5 |
Workflow Clarity | The single action is unambiguous and includes an implicit verification stance (report actual output, don't fake execution), but lacks an explicit validate-fix-retry checkpoint. | 4 / 5 |
Progressive Disclosure | Under 50 lines with no need for external references; the single well-organized heading suffices, matching the simple-skill exception. | 5 / 5 |
Total | 18 / 20 Passed |