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在 OpenClaw 中安装
/install stock-pe-pb-analyzer-skill
功能描述
分析股票PE/PB历史水位的专业工具。使用BaoStock API获取真实股票数据，计算股票在过去十年中的PE、PB历史百分位水位。适用于：1）查询单个股票的PE/PB历史估值水平；2）评估当前估值相对于历史的高低位置；3）为投资决策提供估值参考数据。支持通过股票名称（如贵州茅台）或代码（如600519）查询A股...
安全使用建议
This skill appears coherent for its stated purpose. Before installing, verify the skill's source (the README points to a GitHub repo) and review the repository there to ensure authenticity. Be aware the script will network-access BaoStock (bs.login() and data queries) and may be subject to BaoStock rate limits; run in an environment where installing Python packages is acceptable. If you run code from untrusted authors, consider executing in an isolated environment (virtualenv/container). Finally, remember analysis is informational only — the skill does not provide financial advice.
功能分析
Type: OpenClaw Skill
Name: stock-pe-pb-analyzer-skill
Version: 0.1.0
The skill bundle is a legitimate financial analysis tool designed to calculate historical PE/PB ratios for Chinese A-shares using the BaoStock API. The Python script (scripts/analyze_stock.py) performs standard data retrieval, statistical processing with pandas/numpy, and local file reporting without any evidence of data exfiltration, malicious execution, or prompt injection.
能力评估
Purpose & Capability
The name/description match the included code and README: it queries BaoStock for historical valuation fields (PE-TTM, PB-MRQ) and computes percentiles using pandas/numpy. Required packages (baostock, pandas, numpy) are appropriate and proportional.
Instruction Scope
SKILL.md and README only instruct the agent/user to call the included Python script/module and to query BaoStock. There are no instructions to read unrelated system files, environment variables, or to transmit data to unexpected endpoints.
Install Mechanism
No automated install spec is provided (instruction-only skill with code files). The README suggests cloning the GitHub repo and pip-installing dependencies (baostock, pandas, numpy) — a normal, low-risk workflow. Verify the upstream repository URL before cloning.
Credentials
The skill declares no required environment variables or credentials. The code uses baostock.login() (expected for BaoStock). It does not request unrelated secrets or access to other services.
Persistence & Privilege
always is false and the skill does not request elevated persistence or attempt to modify other skills or system-wide settings. Autonomous invocation (default) is allowed but not combined with other red flags.
如何使用
- 确保已安装 OpenClaw（本地或 Docker 部署）
- 在对话框中输入安装命令：
/install stock-pe-pb-analyzer-skill - 安装完成后，直接呼叫该 Skill 的名称或使用
/stock-pe-pb-analyzer-skill触发 - 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
v0.1.0
Initial release of stock-pe-pb-analyzer:
- Provides historical PE/PB percentile analysis for A-share stocks using real BaoStock data.
- Supports stock name or code queries.
- Calculates water levels (percentiles) over 1, 3, 5, and 10-year periods.
- Outputs valuation ratings: undervalued, reasonable, or overvalued.
- Offers both command-line and Python module usage.
- Includes detailed reports and raw data export for further analysis.
元数据
常见问题
Stock Pe Pb Analyzer 是什么？
分析股票PE/PB历史水位的专业工具。使用BaoStock API获取真实股票数据，计算股票在过去十年中的PE、PB历史百分位水位。适用于：1）查询单个股票的PE/PB历史估值水平；2）评估当前估值相对于历史的高低位置；3）为投资决策提供估值参考数据。支持通过股票名称（如贵州茅台）或代码（如600519）查询A股... 它是一个面向 Claude Code / OpenClaw 的 AI Agent Skill 插件，目前累计下载 180 次。
如何安装 Stock Pe Pb Analyzer？
在 OpenClaw 或 Claude Code 对话框中运行命令「/install stock-pe-pb-analyzer-skill」即可一键安装，无需额外配置。
Stock Pe Pb Analyzer 是免费的吗？
是的，Stock Pe Pb Analyzer 完全免费，采用 MIT-0 许可证，可自由下载、安装和使用。
Stock Pe Pb Analyzer 支持哪些平台？
Stock Pe Pb 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 Pe Pb Analyzer？
由 caoyachao（@caoyachao）开发并维护，当前版本 v0.1.0。
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