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Stock AI Analyzer — 技能工具

v2.2.1

股票AI分析助手，支持基础分析和增强分析。基础模式：输入"股票名称 基本面/技术面"进行标准分析。增强模式：输入"股票名称，基本面，重点查询分析xxx"可在基础分析上追加深度专题分析。⚠️ 重要提示：1) 需要配置 TUSHARE_TOKEN 才能获取股票数据；2) 需要配置 AI 模型才能进行分析（支持 Ope...

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by @chinfi-codex·MIT-0
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License
MIT-0
最后更新
2026/4/11
安全扫描
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无害
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OpenClaw
可疑
high confidence
The skill's code and SKILL.md consistently require a TUSHARE_TOKEN and AI-model credentials and will send stock/financial data to configured model endpoints, but the registry metadata incorrectly lists no required environment variables and the package includes executable code without an install spec — these inconsistencies warrant caution.
评估建议
This package mostly does what it claims (fetch Tushare data, compute ratios, and send analysis prompts to an AI model). Key points before installing/using: - Metadata mismatch: the registry lists no required env vars, but the SKILL.md and code require TUSHARE_TOKEN and an AI model configuration (OPENAI_API_KEY or LLM_* or OPENCLAW_MODEL_ENDPOINT). Do not assume no secrets are needed. - Secrets handling: provide TUSHARE_TOKEN and any model API keys only to trusted environments. The skill will s...
详细分析 ▾
ℹ 用途与能力
The name/description, SKILL.md, and code align: the skill fetches stock data via Tushare, computes financial ratios, and sends analysis prompts to an AI model. The capabilities requested (TUSHARE_TOKEN, model API keys/endpoints) are appropriate for the stated purpose. However, registry metadata lists no required env vars despite the code and README clearly requiring TUSHARE_TOKEN and model credentials — an incoherence between declared metadata and actual needs.
✓ 指令范围
SKILL.md and the scripts describe and implement a focused workflow: read Tushare data (from env or .env in current dir), compute analyses, and send prompts and data to a configured AI model endpoint. The instructions explicitly warn that stock/financial data is sent to the AI service. The code does not attempt to read unrelated system paths or credentials.
ℹ 安装机制
There is no install spec (the skill is 'instruction-only' at registry level) but the bundle includes multiple Python scripts with external dependencies (tushare, pandas, numpy). This is low-risk relative to arbitrary remote downloads, but the absence of an install mechanism means the user must manually install dependencies; the presence of executable code should be noted by the user.
⚠ 凭证需求
The code legitimately requires TUSHARE_TOKEN and various AI-model credentials (OPENAI_API_KEY / OPENAI_BASE_URL, LLM_API_KEY / LLM_API_BASE / LLM_MODEL, OPENCLAW_MODEL_ENDPOINT, OPENCLAW_SESSION). That is proportionate to the functionality. The problem: the registry metadata claims 'Required env vars: none', which is inaccurate and could mislead users into under-protecting secrets. Also the data_fetcher will read a .env file in the current working directory (but not parent dirs), which users should be aware of.
✓ 持久化与权限
The skill does not request always:true, does not attempt to modify other skills or system-wide configs, and does not request persistent privileges. It only uses runtime environment variables and performs network calls to configured AI endpoints and Tushare API.
安全有层次，运行前请审查代码。

License

MIT-0

可自由使用、修改和再分发，无需署名。

运行时依赖

无特殊依赖

版本

latestv2.2.12026/3/18

优化AI模型兼容性，改进数据展示格式

● 无害

安装命令 点击复制

官方npx clawhub@latest install stock-ai-analyzer
镜像加速npx clawhub@latest install stock-ai-analyzer --registry https://cn.clawhub-mirror.com

技能文档

# 股票AI分析助手 支持基础分析和增强分析两种模式。兼容 OpenClaw 及多种 AI 模型环境。

⚠️ 重要依赖声明

必需配置

TUSHARE_TOKEN（必需）
  • 用途：获取股票数据
  • 获取：https://tushare.pro
  • 配置：export TUSHARE_TOKEN=your_token
AI 模型（必需，以下方式任选其一）
  • OpenClaw 环境（推荐）
- 无需额外配置，OpenClaw 会自动处理 AI 调用
  • OpenAI 兼容接口
``bash export OPENAI_API_KEY=your_key export OPENAI_BASE_URL=https://api.openai.com/v1 # 可选，默认 OpenAI `
  • 自定义 LLM 接口
`bash export LLM_API_KEY=your_key export LLM_API_BASE=https://your-endpoint/v1 export LLM_MODEL=your-model-name `
  • HTTP 端点
`bash export OPENCLAW_MODEL_ENDPOINT=http://localhost:8000/generate `

⚠️ 数据安全说明

  • 股票数据和财务信息会发送到配置的 AI 模型进行处理
  • 请确保您的 AI 服务端点可信
  • 敏感股票数据请谨慎使用

使用模式

基础分析

` 股票名称 基本面 股票名称 技术面 `

增强分析（基础+深度专题）

` 股票名称，基本面，重点查询分析[专题] ` 示例：
  • "东威科技，基本面，重点查询分析业务和AI pcb生产的关联性"

分析内容

基础模块

  • 公司概况
  • 财务质量分析
  • 估值分析（三情景估值）
  • 股东与管理层

增强专题

  • 业务关联性分析
  • 客户结构分析
  • 竞争优势分析

文件结构

` scripts/ ├── stock_analyzer.py # 基础分析 ├── enhanced_analyzer.py # 增强分析 ├── data_fetcher.py # 数据获取 ├── financial_ratios.py # 财务计算 └── ai_client.py # AI 模型客户端（多环境兼容） ``

依赖

  • Python 3.8+
  • tushare
  • pandas
  • numpy

免责声明

以上分析基于公开历史数据，不构成投资建议。

数据来源：ClawHub ↗ · 中文优化：龙虾技能库
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