Content
78%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.
A well-structured, actionable skill body that sequences a multi-phase scan workflow with validation checkpoints and cleanly delegates detail to real bundle files via a well-signaled reference table. The main lift would be tightening the philosophy section and inlining one concrete scraper invocation example.
| Dimension | Reasoning | Score |
|---|---|---|
Conciseness | Mostly lean with tables and structured phases that assume Claude's competence and avoid explaining generic concepts; the '核心哲学' principles section is mildly explanatory and could be trimmed, but it carries domain-specific guidance rather than padding. | 4 / 5 |
Actionability | Gives concrete executable guidance — platform URLs, scraper flags (--pages/--detail/--channel), file-naming convention, and a copy-paste report template — but lacks an inline example invocation line in Phase 2, leaving a minor gap. | 4 / 5 |
Workflow Clarity | Five clearly sequenced phases with explicit checkpoints (黑岩失败标SKIP继续、内置知识标注未校验、书名命中率质量门、趋势可信度/复扫时间); a few validation details live in the script descriptions rather than inline in the workflow, so it is not quite a full checklist. | 4 / 5 |
Progressive Disclosure | Clear overview in SKILL.md with a 参考资料 table that signals one-level-deep references and a '何时加载' column; referenced files (references/real-market-data.md, scripts/*.js) all exist and content is appropriately split. | 5 / 5 |
Total | 17 / 20 Passed |