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make453

China Stock Analysis.Bak

by make453 · GitHub ↗ · v1.0.0 · MIT-0
cross-platform ✓ Security Clean
328
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Install in OpenClaw
/install china-stock-analysis-bak
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:

  1. 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 %
  2. Gather additional context (if available)

    • Recent news affecting the stock
    • Industry trends
    • Market sentiment
  3. 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 internally consistent and low-risk because it only instructs the agent to search public finance sites and produce formatted analysis. Remaining considerations: (1) provenance — the source/homepage is unknown and _meta.json ownerId mismatches the registry ownerId, so verify you trust the publisher before installing; (2) data accuracy — the skill relies on web search and may surface stale or incorrect prices — always cross-check live market data from your broker/exchange before acting; (3) operational safety — do not provide broker/API credentials to this skill and do not use it to execute trades unless you explicitly audit any code that would perform such actions (this skill currently has no code or install steps). If those points are acceptable, the skill is coherent with its stated purpose.
Capability Analysis
Type: OpenClaw Skill Name: china-stock-analysis-bak Version: 1.0.0 The skill bundle is a standard template for analyzing Chinese and US stock market data. It provides structured instructions for an AI agent to perform web searches for stock prices and generate investment reports with a mandatory risk disclaimer. No malicious code, data exfiltration attempts, or suspicious execution patterns were found in SKILL.md or the reference files.
Capability Assessment
Purpose & Capability
Name, description, and SKILL.md all describe stock analysis across Chinese (A-share/HK) and US tickers. The skill requests no binaries, env vars, or installs — proportional to an instruction-only analysis skill. (Minor metadata inconsistency: _meta.json ownerId differs from registry Owner ID; likely an authoring/packaging oversight but not functionally required by the skill.)
Instruction Scope
Runtime instructions are limited to web search, news aggregation, and producing a structured analysis with a required risk disclaimer. The instructions do not direct reading local files, accessing secrets, or contacting third‑party endpoints outside typical public finance sites (the references list Eastmoney, Xueqiu, Yahoo, Google Finance).
Install Mechanism
No install spec and no code files — the skill is instruction-only, meaning nothing is written to disk or fetched during install. This is the lowest-risk installation footprint.
Credentials
The skill requests no environment variables, credentials, or config paths. There are no apparent requests for unrelated secrets or broad system access.
Persistence & Privilege
Flags show always:false and default autonomous invocation allowed (normal). The skill does not request permanent presence or make changes to other skills or system settings.
How to Use
  1. Make sure OpenClaw is installed (local or Docker)
  2. Run the install command in chat: /install china-stock-analysis-bak
  3. After installation, invoke the skill by name or use /china-stock-analysis-bak
  4. Provide required inputs per the skill's parameter spec and get structured output
Version History
v1.0.0
Initial release of china-stock-analysis: - Provides analysis and investment recommendations for Chinese stocks (A-shares, HK stocks) and US stocks. - Supports stock code formats for Shanghai, Shenzhen, Hong Kong, and US markets. - Follows a structured analysis template including core data, technical analysis, and clear buy/hold/sell suggestions. - Incorporates real-time price searching and recent news/context in analysis. - Always includes a risk disclaimer with each recommendation.
Metadata
Slug china-stock-analysis-bak
Version 1.0.0
License MIT-0
All-time Installs 3
Active Installs 2
Total Versions 1
Frequently Asked Questions

What is China Stock Analysis.Bak?

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 328 downloads so far.

How do I install China Stock Analysis.Bak?

Run "/install china-stock-analysis-bak" in the OpenClaw or Claude Code chat to install it in one step — no extra setup required.

Is China Stock Analysis.Bak free?

Yes, China Stock Analysis.Bak is completely free, licensed under MIT-0. You can download, install and use it at no cost.

Which platforms does China Stock Analysis.Bak support?

China Stock Analysis.Bak is cross-platform and runs anywhere OpenClaw / Claude Code is available (cross-platform).

Who created China Stock Analysis.Bak?

It is built and maintained by make453 (@make453); the current version is v1.0.0.

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