← Back to Skills Marketplace
jearrylee

Stock Analyzer | 股票深度分析

by jearrylee · GitHub ↗ · v1.0.0 · MIT-0
cross-platform ⚠ suspicious
315
Downloads
0
Stars
1
Active Installs
1
Versions
Install in OpenClaw
/install j-stock-analyzer
Description
输入股票代码,深入分析财务数据、估值、护城河,生成投资分析报告
README (SKILL.md)

Stock Analyzer | 股票深度分析

当用户想要了解某只股票的投资价值时,使用此技能进行全面分析。

触发场景

  • 用户问"帮我分析 XXX"
  • 用户问"XXX 这只股票怎么样"
  • 用户问"XXX 值得买吗"
  • 用户想了解某家公司的基本面

分析框架(必须全部覆盖)

1. 基础信息

股票代码:
股票名称:
交易所:
行业:
主营业务:

2. 财务健康度(近3年)

指标 2023 2024 2025(E) 趋势
营业收入(亿)
净利润(亿)
毛利率
净利率
ROE
资产负债率
自由现金流

3. 估值分析

估值指标 数值 行业平均 评价
PE(TTM)
PB
PS
股息率
PEG

4. 护城河分析( Checklist)

  • 品牌护城河:强/中/弱/无
  • 规模护城河:强/中/弱/无
  • 技术护城河:强/中/弱/无
  • 网络效应:强/中/弱/无
  • 成本优势:强/中/弱/无
  • 转换成本:强/中/弱/无
  • 政策/牌照壁垒:强/中/弱/无

5. 风险分析

风险类型 风险描述 影响程度
行业风险 高/中/低
竞争风险 高/中/低
政策风险 高/中/低
财务风险 高/中/低
管理风险 高/中/低

6. 管理层评估

  • 管理层诚信度:优秀/良好/一般/差
  • 激励机制:股权激励/现金/无
  • 资本配置历史:良好/一般/差

7. 投资决策(最终结论)

维度 评分(1-10) 说明
商业模式
财务健康
估值水平
护城河
成长性
风险
综合评分

8. 安全边际评估

当前价格:
内在价值(DCF估算):
安全边际:
是否值得买入:

9. 关键问题清单

  • 这家公司怎么赚钱?(一句话说清楚)
  • 5年后这家公司会怎样?
  • 最大的竞争对手是谁?
  • 买入后跌50%怎么办?

数据获取方式

使用以下工具获取数据:

  1. exec + curl:调用东方财富/新浪财经 API 获取实时数据
  2. web_fetch:抓取公司财报、研报
  3. browser:访问公司官网、年报

输出格式

分析完成后,输出结构化报告,格式如下:

═══════════════════════════════════════
📊 股票深度分析报告:XXX(代码)
═══════════════════════════════════════

【一句话总结】
这只股票值得/不值得投资,因为...

【基础信息】
...

【财务健康度】
...

【估值分析】
...

【护城河评估】
...

【风险提示】
...

【投资决策】
综合评分:X/10
安全边际:XX%
建议操作:买入/持有/卖出

【需要进一步确认的问题】
...

═══════════════════════════════════════
⚠️ 免责声明:本分析仅供参考,不构成投资建议
═══════════════════════════════════════

注意事项

  1. 必须说明数据来源:东方财富/Wind/公司财报/研报等
  2. 保守估算:估值时使用保守假设
  3. 诚实面对不确定性:不确定的地方要明说
  4. 不预测短期股价:分析聚焦于基本面
  5. 关注现金流:利润可以造假,现金流很难造假

快速命令

当用户说"快速分析 XXX"时,只输出核心信息(5项):

  1. 一句话商业模式
  2. 近3年净利润趋势
  3. 当前PE/PB
  4. 护城河强弱
  5. 综合判断:值得深入/不建议

为 LEE 的投资伙伴 J 构建 | 投资有风险,分析仅供参考

Usage Guidance
This skill is coherent for doing stock analysis and appears to only rely on web data. Before installing or enabling it: (1) confirm the runtime sandboxing for shell exec (the SKILL.md asks for 'exec + curl' — ensure the agent cannot run arbitrary host commands you don't expect); (2) know that scraping public sites can produce incomplete or brittle data, and 'Wind' is a paid source (no credentials are declared); (3) avoid supplying any unrelated secrets or API keys unless you understand how they will be used; (4) treat reports as informational only (the skill already includes a disclaimer). If you need use of paid data/APIs, ask the author to declare required credentials and expected endpoints explicitly.
Capability Analysis
Type: OpenClaw Skill Name: j-stock-analyzer Version: 1.0.0 The skill instructions in SKILL.md direct the AI agent to use 'exec + curl' to fetch data from financial APIs (e.g., East Money, Sina Finance). While this capability is plausibly needed for the stated purpose of stock analysis, the use of shell execution (exec) is a high-risk behavior that could lead to command injection if the agent processes unsanitized user-provided stock codes. No evidence of intentional malice, data exfiltration, or persistence was found.
Capability Assessment
Purpose & Capability
Name and description match the instructions: gathering financial data, analyzing valuation and moat, and producing reports. Data sources named (东方财富/新浪/公司年报/Wind) are appropriate for a stock analysis skill.
Instruction Scope
SKILL.md confines actions to fetching public financial data (exec + curl, web_fetch, browser) and producing a structured report. However, it explicitly instructs use of 'exec + curl' (shell execution) which, while reasonable for HTTP requests, grants the agent the ability to run arbitrary shell commands if implemented without proper sandboxing — monitor how exec is implemented in the runtime.
Install Mechanism
Instruction-only skill with no install spec and no code files. Nothing will be written to disk by an installer; lowest install risk.
Credentials
The skill requests no environment variables or credentials, which is proportionate. Minor inconsistency: it names Wind (a paid/data-provider) as a source but does not request credentials or explain how to access paid APIs — likely expects public scraping. If you intend it to use paid APIs, credentials will be needed and should be provided securely.
Persistence & Privilege
always:false and no install/persistence actions. The skill does not request permanent presence or system-wide configuration changes.
How to Use
  1. Make sure OpenClaw is installed (local or Docker)
  2. Run the install command in chat: /install j-stock-analyzer
  3. After installation, invoke the skill by name or use /j-stock-analyzer
  4. Provide required inputs per the skill's parameter spec and get structured output
Version History
v1.0.0
初始版本:股票深度分析框架
Metadata
Slug j-stock-analyzer
Version 1.0.0
License MIT-0
All-time Installs 1
Active Installs 1
Total Versions 1
Frequently Asked Questions

What is Stock Analyzer | 股票深度分析?

输入股票代码,深入分析财务数据、估值、护城河,生成投资分析报告. It is an AI Agent Skill for Claude Code / OpenClaw, with 315 downloads so far.

How do I install Stock Analyzer | 股票深度分析?

Run "/install j-stock-analyzer" in the OpenClaw or Claude Code chat to install it in one step — no extra setup required.

Is Stock Analyzer | 股票深度分析 free?

Yes, Stock Analyzer | 股票深度分析 is completely free, licensed under MIT-0. You can download, install and use it at no cost.

Which platforms does Stock Analyzer | 股票深度分析 support?

Stock Analyzer | 股票深度分析 is cross-platform and runs anywhere OpenClaw / Claude Code is available (cross-platform).

Who created Stock Analyzer | 股票深度分析?

It is built and maintained by jearrylee (@jearrylee); the current version is v1.0.0.

💬 Comments