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Install in OpenClaw
/install stock-valuation-monitor
Description
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)
Usage Guidance
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.
Capability Analysis
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.
Capability Assessment
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.
How to Use
- Make sure OpenClaw is installed (local or Docker)
- Run the install command in chat:
/install stock-valuation-monitor - After installation, invoke the skill by name or use
/stock-valuation-monitor - Provide required inputs per the skill's parameter spec and get structured output
Version History
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
Metadata
Frequently Asked Questions
What is stock-valuation-monitor?
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). It is an AI Agent Skill for Claude Code / OpenClaw, with 1834 downloads so far.
How do I install stock-valuation-monitor?
Run "/install stock-valuation-monitor" in the OpenClaw or Claude Code chat to install it in one step — no extra setup required.
Is stock-valuation-monitor free?
Yes, stock-valuation-monitor is completely free, licensed under MIT-0. You can download, install and use it at no cost.
Which platforms does stock-valuation-monitor support?
stock-valuation-monitor is cross-platform and runs anywhere OpenClaw / Claude Code is available (cross-platform).
Who created stock-valuation-monitor?
It is built and maintained by rockszq (@rockszq); the current version is v2.0.1.
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