Content
100%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.
An exemplar skill body: concise, fully actionable, with an explicit validation checkpoint and error-recovery guidance for a publish (outward-facing) operation. No meaningful gaps across any dimension.
| Dimension | Reasoning | Score |
|---|---|---|
Conciseness | Lean ~57-line body with no re-explanation of concepts Claude already knows; every section (何时使用, 工作流, 命令参数, 执行约束, 输出结果) earns its tokens with actionable content. | 5 / 5 |
Actionability | Fully executable, copy-paste-ready commands ('python scripts/publish_wechat.py --install/--dry-run/--publish --status'), a complete flag list, specified input types, output JSON fields, and error-code remediation covering the common cases. | 5 / 5 |
Workflow Clarity | Clear 5-step sequence (install → dry-run → draft → publish → status) with an explicit pre-publish validation checkpoint ('发布前优先做 --dry-run,检查标题、摘要和渲染 HTML') and concrete error-recovery feedback loops (48001→keep draft, 41005→--cover-image). | 5 / 5 |
Progressive Disclosure | A simple single-purpose skill with well-organized sections and no nested reference chains; no bundle files are needed and the overview stands alone, satisfying the simple-skill exception. | 5 / 5 |
Total | 20 / 20 Passed |