claudeers.
// Claude Skills

equity-research-skill

机构级个股投研报告 Agent Skill(九章结构 + 多方法估值交叉验证),适用于 Claude Code / Cowork / Codex 等 AI Agent 工具

// Claude Skills[ cli ][ desktop ][ claude ]#claude#skillsMIT$open-sourceupdated about 1 month ago
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last commit 11 days ago
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Install with your AI

Paste into Claude Code, Cursor, or any agent — it reads the repo and wires the tool into your project.

Install and set up equity-research-skill (claude-skill project) into my current project.
Found on https://claudeers.com/equity-research-skill
Repo: https://github.com/rollingSirius/equity-research-skill
Homepage/docs: —
Detected install method: claude-skill → # copy this skill into .claude/skills/equity-research-skill/
Category: skills. Platforms: cli, desktop.
Read the repo's README for exact setup and env vars, then install it and wire it into my project.

Claudeers Health Verdict:
active; community-verified: false. Confirm the source before running anything.
// or install directly (claude-skill)
# copy the skill dir into your project:
# .claude/skills/equity-research-skill/   (or ~/.claude/skills/equity-research-skill/ for all projects)
// or clone
git clone https://github.com/rollingSirius/equity-research-skill

// compatibility

Platformscli, desktop
Operating systems
AI compatibilityclaude
LicenseMIT
Pricingopen-source
LanguagePython

Equity Research Skill 个股投研报告技能

一个可用于 Claude Code / Claude Desktop (Cowork) / Codex 及其他 AI Agent 工具的 Agent Skill:把"研究一下某只股票"这类请求,转化为一份事实准确、来源可溯、结论明确的机构级九章投研报告(中文输出)。

An Agent Skill that turns "research this stock for me" into an institutional-grade, nine-chapter equity research report (written in Chinese) — with sourced data, timestamps, and multi-method valuation cross-checks.

它能做什么 What it does

  • 多市场覆盖:美股 / 港股 / A股,A/H 双重上市标的默认做溢价对比并分市场给结论。US, HK and China A-shares, with an A/H premium module for dual-listed names.
  • 五步工作流:确认标的 → 探测可用数据源并并行采集(行情 / Morningstar / 财报与卖方观点,工具缺失自动降级并标注)→ 数据对账与时间戳 → 按九章模板撰写 → 估值交叉验证并交付文件。
  • 九章报告结构:一页速览、业务详情、竞争与护城河、管理层与治理、财务分析、多方法估值、分析师观点汇总、新闻与催化剂、投资结论。
  • 估值纪律:至少三种方法交叉验证——反向 DCF(证伪现价)+ 三情景概率加权 DCF + 相对估值/SOTP;所有 DCF 计算由 scripts/dcf.py 执行,禁止心算,假设以 JSON 留档。
  • 结论可复现:估值标签与买卖动作按预注册标定规则映射产出(含动作矩阵与治理否决项),同一组数字不会两次给出不同结论。
  • 研究纪律:事实与判断分离、每个关键数据标注来源与时间、冲突数据显式对账、缺失数据如实标注"未获取到"。

文件结构 Structure

equity-research-skill/
├── SKILL.md                        # 技能主文件(触发条件 + 工作流程)
├── references/
│   ├── report-template.md          # 九章报告模板与表格骨架
│   ├── data-sources.md             # 取数手册:工具探测与降级表、行情 / Morningstar / SEC / 分析师数据与对账规则
│   ├── valuation-methods.md        # 估值方法:相对估值、正向/反向 DCF、情景加权、SOTP + 结论标定规则
│   └── markets-cn-hk.md            # A股/港股/A+H 差异手册:合约解析、披露源、财年、A/H 溢价模块
└── scripts/
    └── dcf.py                      # DCF 计算器:三阶段/反向/敏感性/概率加权/标定(python dcf.py --demo 自检)

安装 Installation

Claude Code

# 个人级(所有项目可用)Personal (all projects)
git clone https://github.com/rollingSirius/equity-research-skill.git ~/.claude/skills/equity-research

# 或项目级(随仓库共享)Or project-level (shared via repo)
git clone https://github.com/rollingSirius/equity-research-skill.git .claude/skills/equity-research

Claude Desktop / Cowork

把本仓库打包为 zip(或下载 Release),在 Settings → Capabilities → Skills 中上传。 Zip this repo and upload it via Settings → Capabilities → Skills.

Codex / 其他 Agent 工具 (Codex CLI & other agents)

本技能是纯 Markdown 指令,无私有格式。任何能读文件的 Agent 都能用: This skill is plain Markdown — any file-reading agent can use it:

  1. 把本仓库放进项目目录(如 skills/equity-research/)。
  2. 在你的 Agent 配置(如 Codex 的 AGENTS.md)中加入一句:

    当用户要求研究/分析某只股票时,先读取并遵循 skills/equity-research/SKILL.md 的完整流程。

使用 Usage

方式一:自然语言自动触发(Claude Code / Claude Desktop / Cowork) Auto-trigger — just ask naturally:

"帮我研究一下 NVDA" | "分析下 Marvell 值不值得买" | "Is AMD overvalued?"

只要出现「公司名/代码 + 投研意图」,技能就会按 SKILL.md 的描述自动触发。

方式二:显式指定技能 Explicit invocation per tool:

工具 Tool调用示例 Example
Claude Code斜杠命令:/equity-research 分析 NVDA;或说:"用 equity-research 技能研究 TSLA"
Claude Desktop / Cowork对话中说:"用 equity-research 技能帮我看看 AAPL 值不值得买"
Codex CLI无原生技能机制,配置 AGENTS.md(见上)后说:"按 equity-research 流程分析 NVDA";或直接说:"先读 skills/equity-research/SKILL.md,再按它分析 NVDA"
其他 Agent提示词加一句:"先读取 skills/equity-research/SKILL.md 并严格按其流程执行,然后研究 <股票>"

依赖 Dependencies

依赖必需性说明
联网搜索 / 网页抓取必需获取 Morningstar、财报申报(SEC/巨潮/披露易)、分析师评级、新闻
Python 3必需运行 scripts/dcf.py(仅标准库,无第三方依赖)
Interactive Brokers (IBKR) MCP可选实时行情快照与历史走势;未连接时按 data-sources.md 第 0 节降级表自动改用网络行情源
Morningstar MCP可选有则直取结构化字段,无则网页抓取
docx 技能可选仅当需要输出 Word 版报告

免责声明 Disclaimer

本技能产出的内容仅为研究参考,不构成投资建议。作者与本技能均非持牌投资顾问,投资决策及其后果由使用者自行承担。

Reports generated by this skill are for research reference only and do not constitute investment advice. Use at your own risk.

License

MIT

// faq

What is equity-research-skill?

机构级个股投研报告 Agent Skill(九章结构 + 多方法估值交叉验证),适用于 Claude Code / Cowork / Codex 等 AI Agent 工具. It is open-source on GitHub.

Is equity-research-skill free to use?

equity-research-skill is open-source under the MIT license, so it is free to use.

What category does equity-research-skill belong to?

equity-research-skill is listed under skills in the Claudeers registry of Claude-compatible tools.

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