Agent skill · Business & Finance

financial_research

面向股票/行业/宏观的金融研究技能,结合结构化金融数据(OpenBB/AkShare)与多源信息验证,生成带引用与免责声明的研究报告。

majiayu000github.com/majiayu000GitHub ↗
claude-coderead-onlyMIT
Install
npx skills add majiayu000/claude-skill-registry --skill financial-research-hxk622-tokendance-2 --agent claude-code

Same command for any agent — swap --agent for codex, cursor, copilot.

Facts
Files in the skill folder: 2
SKILL.md size: 1 KB
Bundled scripts: none
Version: 1.0.0
Declared author: system
Allowed tools: financial_dataweb_searchread_urlbrowser_openbrowser_snapshotbrowser_clickbrowser_fillbrowser_screenshotbrowser_closecreate_documentmem_retainmem_delete
Path: skills/analysis/financial-research-hxk622-tokendance-2/SKILL.md
Open the folder on GitHub →
Where it comes from
Stars: 534
Language: HTML

Weekly change comes from our own snapshots, not the repository page — it measures attention, not adoption.

From the SKILL.md

## 使用指南 - 适用场景:个股研究、行业研究、估值分析、情绪分析 - 数据来源:OpenBB(美股/全球)、AkShare(A股),并结合网页来源交叉验证 - 合规要求:禁止买卖建议、禁止价格预测,报告必须包含免责声明 ## 工作流程 1. 明确研究对象(股票代码/行业)与重点问题 2. 调用 `financial_data` 获取报价/财报/估值等结构化数据 3. 使用 `web_search`/`read_url` 获取新闻与背景资料并记录引用 4. 进行财务分析、估值分析与情绪评估 5. 生成结构化研究报告,附上引用与免责声明 ## 输出格式 - Executive Summary(2-3 句) - Company/Industry Overview - Financial Analysis(指标表格 + 解释) - Valuation Analysis(相对/历史/同业) - Market Sentiment(新闻/资金流/舆情) - Risk Factors(3-5 条) - References(带编号) - Disclaimer(必选)

What's inside
Steps it walks through
  1. 使用指南
  2. 工作流程
  3. 输出格式
Ships with 1 file
  • metadata.json
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About this skill
What does the financial_research skill do?

面向股票/行业/宏观的金融研究技能,结合结构化金融数据(OpenBB/AkShare)与多源信息验证,生成带引用与免责声明的研究报告。

How do I install it?

Run `npx skills add majiayu000/claude-skill-registry --skill financial-research-hxk622-tokendance-2 --agent claude-code` — it drops the skill into your project so the agent can pick it up. Swap the --agent value for codex, cursor or copilot if you use one of those.

Where does this skill come from?

From majiayu000/claude-skill-registry, a repository with 534 stars. We read it straight from the repository tree rather than a submitted listing, so what you see here is what is actually published.

Is a popular skill a good skill?

Not necessarily. Stars measure attention, not adoption — a repository can trend for a week and be abandoned. That is why we show the weekly change from our own snapshots next to the total, instead of a single flattering number.

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