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Chen China Stock Analysis
by
cs995279497-byte
· GitHub ↗
· v1.0.0
· MIT-0
227
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0
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Install in OpenClaw
/install chen-china-stock-analysis
Description
Analyze Chinese stock prices (A-shares, HK stocks) and provide investment recommendations. Use when the user asks about stock analysis for Chinese companies,...
README (SKILL.md)
Stock Analysis
Analyze stock price movements and provide investment recommendations.
Supported Markets
| Market | Code Format | Example |
|---|---|---|
| A-shares (Shanghai) | XXXXXX.SH | 600519.SH (Moutai) |
| A-shares (Shenzhen) | XXXXXX.SZ | 000001.SZ (Ping An) |
| Hong Kong | XXXX.HK | 0700.HK (Tencent) |
| US | TICKER | AAPL, TSLA, NVDA |
Analysis Workflow
When asked to analyze a stock:
-
Search for current price data using web search
- Query format: "{股票名称} 股价 今日" or "{TICKER} stock price today"
- Look for: current price, open, high, low, volume, change %
-
Gather additional context (if available)
- Recent news affecting the stock
- Industry trends
- Market sentiment
-
Present analysis in structured format:
## 📊 {股票名称}({代码}) 股价分析
### 📈 核心数据
| 指标 | 数值 | 变化 |
|------|------|------|
| 收盘价 | XXX | +XX |
| 涨跌幅 | XX% | 🔴/🟢 |
| 最高/最低 | XX / XX | - |
| 成交量 | XX万手 | - |
### 技术面分析
- 短期趋势：...
- 关键支撑/压力位：...
- 均线状态：...
### 💡 投资建议
**建议：买入/持有/卖出**
- 理由：...
- 操作策略：...
- 风险提示：...
Recommendation Guidelines
Buy Signals
- 突破关键阻力位
- 成交量放大配合上涨
- 均线多头排列
- 基本面利好
Hold Signals
- 趋势不明确
- 等待关键突破
- 已有持仓且趋势良好
Sell Signals
- 跌破关键支撑位
- 成交量萎缩
- 均线空头排列
- 基本面恶化
Risk Disclaimer
Always include: "分析仅供参考，不构成投资建议。投资有风险，入市需谨慎。"
Common Chinese Stocks Reference
See references/china-stocks.md for popular Chinese stock codes.
Usage Guidance
This skill appears coherent and low‑risk: it only uses public web searches to build stock analyses and does not request credentials or install code. Before installing, consider: 1) verify the skill owner/metadata (the included _meta.json has a different ownerId/slug, which could be a harmless packaging error but is worth checking); 2) remember the agent will rely on live web searches—confirm your agent has appropriate internet access and that source preference (e.g., authoritative finance sites) is acceptable; 3) do not provide trading account credentials (the skill does not need them); and 4) if you want tighter control, disable autonomous invocation so the skill runs only when you explicitly call it. Finally, treat any investment recommendations as informational only and perform your own due diligence.
Capability Analysis
Type: OpenClaw Skill
Name: chen-china-stock-analysis
Version: 1.0.0
The skill bundle is a standard stock analysis tool for Chinese and international markets. It provides instructions for the agent to perform web searches for financial data and format investment recommendations with a required risk disclaimer. No malicious code, data exfiltration, or suspicious execution patterns were found in SKILL.md or the reference files.
Capability Assessment
Purpose & Capability
The name/description (Chinese stock analysis, A‑shares/HK) matches the runtime instructions: web search for prices/news, technical/ fundamental commentary, and a structured recommendation template. The included references list appropriate stock codes and data sources. One minor inconsistency: _meta.json contains a different ownerId and a different slug ('china-stock-analysis') than the registry metadata ('chen-china-stock-analysis'), which looks like a packaging/metadata mismatch but does not change functionality.
Instruction Scope
SKILL.md confines the agent to public web searches for price/news, assembling analysis, and returning a standardized report with a mandatory risk disclaimer. It does not instruct reading arbitrary local files, accessing unrelated system state, or sending data to hidden endpoints. The behavior stays within the stated purpose (no scope creep).
Install Mechanism
This is instruction‑only with no install spec and no code files to write or execute on disk. That is the lowest‑risk install model.
Credentials
The skill declares no required environment variables, credentials, or config paths. The instructions also do not reference any secrets or external API keys. Requested access is proportionate to the stated function (public web data only).
Persistence & Privilege
The skill is not marked 'always'; it is user‑invocable and allows normal autonomous invocation (platform default). There is no request to modify other skills or system settings. This level of persistence and privilege is appropriate for an analysis helper.
How to Use
- Make sure OpenClaw is installed (local or Docker)
- Run the install command in chat:
/install chen-china-stock-analysis - After installation, invoke the skill by name or use
/chen-china-stock-analysis - Provide required inputs per the skill's parameter spec and get structured output
Version History
v1.0.0
Initial release of Chinese stock analysis skill.
- Analyze A-shares (Shanghai & Shenzhen), Hong Kong, and US-listed stocks using live data and market context.
- Provides structured price analysis, technical trends, and investment recommendations.
- Covers buy, hold, and sell signals with clear guidelines.
- Always includes a standard risk disclaimer for all analyses.
Metadata
Frequently Asked Questions
What is Chen China Stock Analysis?
Analyze Chinese stock prices (A-shares, HK stocks) and provide investment recommendations. Use when the user asks about stock analysis for Chinese companies,... It is an AI Agent Skill for Claude Code / OpenClaw, with 227 downloads so far.
How do I install Chen China Stock Analysis?
Run "/install chen-china-stock-analysis" in the OpenClaw or Claude Code chat to install it in one step — no extra setup required.
Is Chen China Stock Analysis free?
Yes, Chen China Stock Analysis is completely free, licensed under MIT-0. You can download, install and use it at no cost.
Which platforms does Chen China Stock Analysis support?
Chen China Stock Analysis is cross-platform and runs anywhere OpenClaw / Claude Code is available (cross-platform).
Who created Chen China Stock Analysis?
It is built and maintained by cs995279497-byte (@cs995279497-byte); the current version is v1.0.0.
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