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.
An unusually actionable, well-sequenced report-generation skill: exact search strings, complete templates, and quantitative constraints mean the model knows precisely what to produce. Its weaknesses are structural — everything lives inline in one long SKILL.md instead of being split into reference files, and the final checklist lacks a fix-and-re-verify loop.
Suggestions
Split the ~70-line 企业分析模板, the Mermaid chain-map skeleton, and the good/bad writing-style examples into one-level-deep reference files under references/ (e.g. company-template.md, style-examples.md) and point to them from the corresponding steps, so the templates are loaded only when that section is being written.
Turn the final 质量自检清单 into a feedback loop: after generating the report, check each item, and explicitly instruct the model to fix any failed item and re-verify before saving to markdown/.
Trim the persona section (角色定位) and the checklist items that restate earlier step requirements, keeping only the style-calibrating ✅/❌ examples that change model behavior.
| Dimension | Reasoning | Score |
|---|---|---|
Conciseness | The body is dense and almost entirely operational — search query templates, a Mermaid skeleton, per-company analysis templates, ASCII comparison tables — with little explanation of concepts Claude already knows. Minor trimmable padding exists: the persona section (“在顶级投行工作超过15年的资深分析师”) and the checklist partially restating earlier requirements keep it at 4 rather than the lean anchor 5. | 4 / 5 |
Actionability | Guidance is copy-paste ready: seven exact web_search query templates (“{行业} 产业链 上市公司 龙头 {当前年份}”), a complete Mermaid flowchart with classDefs and node placeholders, a full per-company markdown template, ASCII table/bar formats, and a concrete save step with naming convention (“lithium-battery-chain-202506.md”) and `mkdir -p markdown`. Quantitative constraints (5–7 searches, 4–6 nodes, 2–4 companies per node) leave nothing ambiguous. | 5 / 5 |
Workflow Clarity | The 9-step sequence is clearly ordered with quantitative bounds and ends with a quality self-check checklist (结构完整性/内容质量), which is an explicit checkpoint — stronger than anchor 3. It stops short of anchor 5 because there is no feedback loop: the checklist tells the model what to verify but never says what to do when a check fails (revise and re-verify), leaving a minor validation gap. | 4 / 5 |
Progressive Disclosure | The skill is a single ~340-line monolith with no references/, scripts/, or assets/ files. Internal structure is good (clearly headed steps), but large self-contained blocks — the 70-line 企业分析模板, the good/bad writing examples, the Mermaid skeleton — are inlined when they clearly belong in one-level-deep reference files that the model loads only when writing that section. This matches the anchor where content that should be separate is inline; it is above 2 only because sectioning and navigation within the file are well done. | 3 / 5 |
Total | 16 / 20 Passed |