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在 OpenClaw 中安装
/install stock-valuation-monitor
功能描述
股票和ETF估值监控工具,基于PE、PB BAND和历史百分位评估估值区间(机会/风险)
安全使用建议
This skill appears coherent for stock/ETF valuation: it fetches public market and historical data, computes percentiles/BANDs, and can export results. Before installing: (1) Confirm you are comfortable the agent can make outbound network requests to EastMoney/Tencent/Sina/AkShare, (2) run the code in a controlled environment if you need to restrict network/file access, (3) note akshare/openpyxl are optional—install only if you need those features, (4) review the included main.py yourself or in a sandbox if you want to verify no unexpected external endpoints or data exfiltration, and (5) pin dependency versions and run in a virtualenv to reduce supply-chain risk. The skill does not request secrets or elevated privileges.
功能分析
Type: OpenClaw Skill
Name: stock-valuation-monitor
Version: 2.0.1
The stock-valuation-monitor skill is a well-structured tool for analyzing A-share stocks and ETFs using PE/PB bands and historical percentiles. The code (main.py) implements robust features including multi-source data fetching (EastMoney, Tencent, Sina, AkShare), a thread-safe cache, and a sliding-window circuit breaker for reliability. No evidence of data exfiltration, malicious execution, or prompt injection was found; the logic is strictly focused on financial data processing and reporting.
能力评估
Purpose & Capability
Name/description (PE/PB historical percentiles, BAND analysis, ETF premium) align with the code and SKILL.md. Declared dependencies (akshare, pandas, numpy, requests) and data sources (EastMoney/Tencent/Sina/AkShare) are appropriate for the stated purpose.
Instruction Scope
SKILL.md limits runtime behavior to fetching market and historical data, calculating percentiles, producing suggestions, and exporting JSON/CSV/Excel. It does not instruct reading unrelated system files, environment secrets, or transmitting data to unexpected endpoints beyond financial data sources.
Install Mechanism
No install spec is present (instruction-only plus included source file). Dependencies are standard Python packages listed in requirements.txt; no arbitrary downloads or extract-from-URL steps are used.
Credentials
The skill does not request any environment variables, credentials, or config paths. Its network usage (requests to public finance APIs / akshare) is proportionate to data-gathering for valuation analysis.
Persistence & Privilege
always is false and the skill does not request persistent/privileged system presence. There is no indication it modifies other skills or system-wide agent settings.
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-valuation-monitor - 安装完成后,直接呼叫该 Skill 的名称或使用
/stock-valuation-monitor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
v2.0.1
- Removed documentation and legacy files: DEPLOY.md, README.md, and main_old.py.
- ✅ 缓存键改为10分钟级精度
✅ 熔断器实现滑动窗口算法
✅ 使用akshare专用接口获取历史PE/PB
✅ 增加并发超时控制
✅ 新增健康检查接口和Excel导出
v1.0.0
Stock Valuation Monitor v1.0.0
- 初始版本发布
- 支持A股和ETF估值查询
- 实现PE、PB BAND和历史百分位计算
- 提供多区间估值评估与投资建议
- 支持批量及单项查询
元数据
常见问题
stock-valuation-monitor 是什么?
股票和ETF估值监控工具,基于PE、PB BAND和历史百分位评估估值区间(机会/风险). 它是一个面向 Claude Code / OpenClaw 的 AI Agent Skill 插件,目前累计下载 1834 次。
如何安装 stock-valuation-monitor?
在 OpenClaw 或 Claude Code 对话框中运行命令「/install stock-valuation-monitor」即可一键安装,无需额外配置。
stock-valuation-monitor 是免费的吗?
是的,stock-valuation-monitor 完全免费,采用 MIT-0 许可证,可自由下载、安装和使用。
stock-valuation-monitor 支持哪些平台?
stock-valuation-monitor 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-valuation-monitor?
由 rockszq(@rockszq)开发并维护,当前版本 v2.0.1。
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