Content
66%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 delivers a clear, actionable, well-sequenced workflow for locating and using QwenPaw docs, with executable commands and sensible fallbacks. It is slightly verbose in its fallback narration and lacks an explicit content-validation checkpoint.
Suggestions
Trim narrative fallback commentary into terser conditional steps to reduce token overhead and lift conciseness.
Add an explicit validation checkpoint after locating docs (e.g. confirm the matched file's topic/lang against the question before reading) to strengthen workflow clarity.
Consider moving the lengthy path-detection bash into a scripts/ helper and referencing it, so the SKILL.md body stays a lean overview.
| Dimension | Reasoning | Score |
|---|---|---|
Conciseness | The body is mostly task-focused with executable bash snippets, but repeated fallback explanations and inline commentary (e.g. '首先你可以查看memory...', '如果还是找不到文档，搜索...') add padding that could be tightened. | 3 / 5 |
Actionability | It provides concrete, mostly copy-paste-ready bash commands for each fallback path with specific flags and variables, covering the common install/config cases with only minor gaps. | 4 / 5 |
Workflow Clarity | A clear five-step sequence (定位 → 检索 → 阅读 → 作答 → 兜底) with explicit fallback ordering and a final quality section; checkpoints are mostly present though formal validation of located content is implicit. | 4 / 5 |
Progressive Disclosure | Content is organized into well-headed sections (步骤一–五, 输出质量要求) with inline commands kept short and the website fallback held back until the optional final step; structure is good with only minor organization gaps. | 4 / 5 |
Total | 15 / 20 Passed |