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Install in OpenClaw
/install stock-acquisition-analysis
Description
获取A股股票实时行情数据并进行技术分析。适用于投资者查询股票价格、涨跌幅、成交量等行情信息，以及进行MA、RSI、MACD等技术指标分析。
Usage Guidance
This skill appears coherent with its stated goal, but before installing consider: (1) it scrapes 东方财富 — check that scraping is allowed by the site's Terms of Service and robots.txt and prefer official APIs if available; (2) implement polite rate limiting and caching to avoid being blocked (the doc suggests a 3s delay but you should enforce it); (3) screenshots or stored data may contain sensitive information — ensure any stored artifacts are handled securely; (4) scraping site structure can change, so results may break and require maintenance. If you plan high-volume queries or commercial use, obtain an API or permission from the data provider.
Capability Analysis
Type: OpenClaw Skill
Name: stock-acquisition-analysis
Version: 1.0.0
The skill bundle provides instructions for an AI agent to scrape real-time A-share stock data and perform technical analysis using the legitimate financial portal East Money (eastmoney.com). The logic in SKILL.md is transparent, focused on data extraction and mathematical calculations (MA, RSI, MACD), and lacks any indicators of malicious intent, data exfiltration, or unauthorized command execution.
Capability Assessment
Purpose & Capability
Name and description state: obtain A‑share real‑time quotes and perform technical analysis. The SKILL.md explicitly builds 东方财富 URLs, scrapes real‑time and historical K‑line data, and computes MA/RSI/MACD — all coherent with the stated purpose. No unrelated credentials, binaries, or config paths are requested.
Instruction Scope
Instructions require navigating to 东方财富 pages, extracting real‑time fields and historical K‑line data, and taking screenshots for data verification. This is within scope but implies the agent will perform web requests or use a browser tool; the skill does not specify particular endpoints for historical data, nor does it mention respecting robots.txt, rate limits beyond a 3s suggestion, or site Terms of Service. Those are operational/legal considerations rather than technical incoherence.
Install Mechanism
Instruction‑only skill with no install spec and no code files; nothing is downloaded or written during install, so there is no install‑mechanism risk present in the package itself.
Credentials
The skill declares no required environment variables, credentials, or config paths. The SKILL.md does not attempt to access system files or secrets. The requested capability (web scraping + computation) does not appear to need additional credentials, so the absence of env/credentials is proportionate.
Persistence & Privilege
Skill does not request always:true and uses default invocation privileges. There is no indication it modifies other skills or system settings; no persistence/privilege escalation is requested.
How to Use
- Make sure OpenClaw is installed (local or Docker)
- Run the install command in chat:
/install stock-acquisition-analysis - After installation, invoke the skill by name or use
/stock-acquisition-analysis - Provide required inputs per the skill's parameter spec and get structured output
Version History
v1.0.0
Initial release of the A股实时行情与技术分析技能:
- 实现A股股票实时价格、涨跌幅、成交量等行情数据查询
- 支持计算MA（均线）、RSI、MACD等主流技术指标
- 能生成基础的技术分析报告和买卖信号
- 适配东方财富网数据源，自动识别沪深市场
- 提供详尽使用方法、错误处理和注意事项
Metadata
Frequently Asked Questions
What is my skill?
获取A股股票实时行情数据并进行技术分析。适用于投资者查询股票价格、涨跌幅、成交量等行情信息，以及进行MA、RSI、MACD等技术指标分析。 It is an AI Agent Skill for Claude Code / OpenClaw, with 119 downloads so far.
How do I install my skill?
Run "/install stock-acquisition-analysis" in the OpenClaw or Claude Code chat to install it in one step — no extra setup required.
Is my skill free?
Yes, my skill is completely free, licensed under MIT-0. You can download, install and use it at no cost.
Which platforms does my skill support?
my skill is cross-platform and runs anywhere OpenClaw / Claude Code is available (cross-platform).
Who created my skill?
It is built and maintained by will1189 (@will1189); the current version is v1.0.0.
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