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industry-chain-analyst

以资深投行分析师的视角,输入一个行业或产业名称,系统梳理该行业产业链各节点,列出各节点代表性上市公司,深度分析商业模式、上下游关系、核心竞争力、护城河、风险揭露、竞争格局等,用通俗易懂的语言面向普通投资人输出图文并茂的Markdown报告,保存到当前项目 markdown/ 目录。触发条件:用户提到"产业链分析"、"帮我分析XX行业"、"XX行业上下游"、"XX行业有哪些上市公司"、"XX行业怎么投"、"XX行业竞争格局"、"XX行业护城河"、"XX行业风险"、"梳理XX产业链"、"XX上下游企业"等。即使用户只说"帮我看看XX行业"或"XX行业值得投吗",也应使用本skill。输出为Markdown文件,保存到markdown/目录,图文并茂,语言专业但通俗,适合普通投资人阅读。

71

Quality

89%

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SecuritybySnyk

Low

Low-risk findings worth noting

SKILL.md
Quality
Evals
Security

Quality

Content

78%Weight 40%Scale 1-5

Reviews 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.

DimensionReasoningScore

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

Description

95%Weight 40%Scale 1-5

Based on the skill's description, can an agent find and select it at the right time? Clear, specific descriptions lead to better discovery.

A highly effective description: it explicitly states both what the skill does and when to use it, with unusually thorough and colloquial trigger coverage including indirect user phrasings. The only weakness is redundancy — the output-format statement appears twice, making the description longer than the information it conveys.

DimensionReasoningScore

Specificity

The description lists many concrete actions — “系统梳理该行业产业链各节点,列出各节点代表性上市公司,深度分析商业模式、上下游关系、核心竞争力、护城河、风险揭露、竞争格局” plus a concrete output contract (“图文并茂的Markdown报告,保存到当前项目 markdown/ 目录”) — matching the comprehensive anchor. It falls short of 5 only because the tail sentence (“输出为Markdown文件,保存到markdown/目录,图文并茂…”) restates the output format already given, padding the description rather than adding new capability; per the verbosity guideline this repetition keeps it at 4 rather than 5.

4 / 5

Completeness

Both questions are explicitly answered: the “what” is the full analysis-and-report pipeline in the opening clause, and the “when” is an explicit “触发条件:…” clause with concrete trigger phrases plus an explicit instruction to fire on indirect phrasings. This mirrors the anchor-5 example structure; a 4 would require the when-clause to be less explicit, which it is not.

5 / 5

Trigger Term Quality

Trigger coverage is exhaustive and natural, including colloquial variants users would actually say: “帮我分析XX行业”, “XX行业怎么投”, “梳理XX产业链”, “XX上下游企业”, and even “即使用户只说‘帮我看看XX行业’或‘XX行业值得投吗’,也应使用本skill”. This matches the anchor of comprehensive natural-term coverage including synonyms; no common phrasing is missing.

5 / 5

Distinctiveness Conflict Risk

The niche (产业链投行研究报告 for ordinary investors) is distinct with dedicated triggers like “XX行业护城河” and “XX行业竞争格局” that no generic document- or code-analysis skill would claim. Conflict risk with adjacent skills (e.g., generic stock screens) is minimal because the trigger phrases are chain- and moat-specific.

5 / 5

Total

19

/

20

Passed

Validation

100%

Checks the skill against the spec for correct structure and formatting. All validation checks must pass before discovery and implementation can be scored.

Validation — 16 / 16 Passed

Validation for skill structure

No warnings or errors.

Repository

digoal/blog

Path

skills/skills_for_claude_web/industry-chain-analyst/SKILL.md

Reviewed

Table of Contents

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