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Stock Analyzer

作者 utopiabenben · GitHub ↗ · v1.0.0 · MIT-0
cross-platform ✓ 安全检测通过
161
总下载
0
收藏
0
当前安装
1
版本数
在 OpenClaw 中安装
/install stock-analyzer-by-benben
功能描述
提供实时股价、技术指标、基本面数据分析及基于历史数据的价格预测,支持生成详细Markdown报告和图表。
安全使用建议
This skill appears coherent and implements the advertised features using yfinance and common Python libraries. Before installing: (1) run installation in a virtualenv and install the listed deps (note: prediction uses scikit-learn, so install scikit-learn if you need predict); (2) review or run the included code in a safe environment if you don't trust the unknown source; (3) be aware it will read an optional config at ~/.openclaw/secrets/stock-analyzer.json and write report/chart files to the specified output_dir—do not put secrets in that config; (4) understand predictions are simple (linear regression by default) and the tool is not investment advice. If you are uncomfortable installing code from an unknown author, prefer running the script in an isolated environment or decline installation.
功能分析
Type: OpenClaw Skill Name: stock-analyzer-by-benben Version: 1.0.0 The stock-analyzer skill is a legitimate financial analysis tool that uses the yfinance library to fetch market data and scikit-learn for basic price prediction. The code (stock_analyzer.py) and installation script (install.sh) perform standard file operations and data processing consistent with the stated purpose, with no evidence of data exfiltration, malicious execution, or prompt injection.
能力评估
Purpose & Capability
Name/description (stock analysis, indicators, fundamentals, simple prediction) match the included Python implementation and SKILL.md. Required libraries (yfinance, pandas, numpy, matplotlib, sklearn for prediction) are appropriate and expected for the stated features.
Instruction Scope
SKILL.md instructs copying the skill into the skills directory and installing Python deps, and the code reads only the declared optional config file (~/.openclaw/secrets/stock-analyzer.json) and writes reports/charts to local output directories. There are no instructions to read unrelated system files, access credentials, or send data to external endpoints beyond yfinance (Yahoo Finance).
Install Mechanism
No remote download or archive extraction is used. The provided install.sh simply copies files into ~/.openclaw/skills/ and checks for Python dependencies. This local install behavior is low-risk compared to fetching and executing arbitrary remote code.
Credentials
The skill does not request environment variables or credentials. It uses a single optional config file in the user's home directory for defaults and an output_dir for reports; these are proportional to the functionality. Minor note: SKILL.md's pip install line omits scikit-learn while install.sh's dependency-check message references scikit-learn (used by predict), so the documentation/installer mismatch should be fixed but is not a security red flag.
Persistence & Privilege
always is false and the skill does not request elevated or persistent platform-wide privileges. The install copies files into the user's skills directory only and does not modify other skills or system-wide configs.
如何使用
  1. 确保已安装 OpenClaw(本地或 Docker 部署)
  2. 在对话框中输入安装命令:/install stock-analyzer-by-benben
  3. 安装完成后,直接呼叫该 Skill 的名称或使用 /stock-analyzer-by-benben 触发
  4. 根据 Skill 的参数说明提供必要输入,即可获得结构化输出
版本历史
v1.0.0
Stock Analyzer Skill 1.0.0 – Initial Release - 提供实时股票数据与历史价格查询 - 支持多种技术指标分析:MA、MACD、RSI、KDJ、布林带 - 提供基本面数据分析:PE、PB、市值、营收、利润 - 实现简单趋势的价格预测功能 - 支持生成详细 Markdown 分析报告和可选图表 - 命令行工具,支持多种用法与可配置参数
元数据
Slug stock-analyzer-by-benben
版本 1.0.0
许可证 MIT-0
累计安装 0
当前安装数 0
历史版本数 1
常见问题

Stock Analyzer 是什么?

提供实时股价、技术指标、基本面数据分析及基于历史数据的价格预测,支持生成详细Markdown报告和图表。 它是一个面向 Claude Code / OpenClaw 的 AI Agent Skill 插件,目前累计下载 161 次。

如何安装 Stock Analyzer?

在 OpenClaw 或 Claude Code 对话框中运行命令「/install stock-analyzer-by-benben」即可一键安装,无需额外配置。

Stock Analyzer 是免费的吗?

是的,Stock Analyzer 完全免费,采用 MIT-0 许可证,可自由下载、安装和使用。

Stock Analyzer 支持哪些平台?

Stock Analyzer 跨平台运行,可在任意部署了 OpenClaw / Claude Code 的环境中使用(cross-platform)。

谁开发了 Stock Analyzer?

由 utopiabenben(@utopiabenben)开发并维护,当前版本 v1.0.0。

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