A comprehensive financial intelligence skill providing deep-dive individual stock analysis and market diagnostics via the GILData database.
Install & Download
1. ClawHub CLI
The fastest way to install a skill directly from the registry.
npx clawhub@latest install jy-stock-analysis
2. Manual Installation
Copy the skill folder to one of these locations
~/.openclaw/skills/ <project>/skills/ Priority: Workspace > Local > Bundled
3. Prompt Installation
Copy this prompt to OpenClaw to install it automatically.
Help me install jy-stock-analysis using Clawhub. If Clawhub is not installed, install it first (npm i -g clawhub).
Prefer to download?
Get the raw skill files in a ZIP archive.
What is JY Stock Analysis?
The jy-stock-analysis skill is a robust tool designed for AI agents to perform high-fidelity financial research within the Openclaw Skills ecosystem. By interfacing with the GILData Financial Database through the Model Context Protocol (MCP), it allows users to extract objective data across four critical dimensions: corporate revenue, industry dynamics, concept hotspots, and market conditions. This skill is essential for developers building financial assistants that require accurate, multi-dimensional views of A-share stocks.
Functioning as a bridge between raw financial datasets and actionable insights, the skill emphasizes data integrity through a mandatory verification process. It utilizes the DuPont framework for financial analysis, provides real-time market quotes, and evaluates institutional ratings, ensuring that Openclaw Skills users receive the most professional and technically sound reports possible for their investment research workflows.
JY Stock Analysis Use Cases
- Performing a full diagnostic analysis on specific A-share stocks like CATL or Kweichow Moutai.
- Evaluating corporate financial health through five-period revenue and profit trends.
- Assessing valuation levels using PE, PB, and ROE metrics relative to industry standards.
- Monitoring institutional sentiment via ratings, target price forecasts, and consensus expectations.
- Researching capital flows and technical indicators to identify market entry or exit signals.
How JY Stock Analysis Works
- Parameter Identification: The skill extracts the stock name or 6-digit ticker code from the user prompt.
- Concurrent Data Retrieval: It triggers parallel calls to the GILData MCP tools, including financial queries, industry indices, and valuation analysis.
- Mandatory Data Validation: It performs a secondary verification of real-time quotes to ensure the latest price and change percentages are logically consistent.
- Analytical Synthesis: The raw data is processed through an analysis framework that calculates upside potential and organizes news sentiment.
- Structured Reporting: A standardized report is generated according to strict templates, including a mandatory disclaimer and timestamp for Openclaw Skills consistency.
JY Stock Analysis Setup
To deploy this skill within your Openclaw Skills environment, you must first install the mcporter CLI and configure your access keys.
npm install -g mcporter
mcporter --version
Next, add the MCP service configurations with your unique JY_API_KEY:
mcporter config add jy-financedata-tool --url "https://api.gildata.com/mcp-servers/aidata-assistant-srv-tool?token=YOUR_API_KEY"
mcporter config add jy-financedata-api --url "https://api.gildata.com/mcp-servers/aidata-assistant-srv-api?token=YOUR_API_KEY"
Finally, enable the mcporter entry in your openclaw.json file and restart the gateway service.
JY Stock Analysis Data Schema & Taxonomy
The jy-stock-analysis skill maintains a rigorous data schema to ensure consistency across the Openclaw Skills platform.
| Data Module | Primary Fields | Tools Used |
|---|---|---|
| Real-time Quote | Price, Change %, Volume, Market Cap | AShareLiveQuote |
| Financials | Main Revenue, Net Profit, ROE, Debt Ratio | FinQuery, MainOperIncData |
| Industry | Industry Classification (Shenwan), Index Performance | StockBelongIndustry |
| Estimates | Target Price (Avg/High/Low), Institutional Rating | InstitutionalRating, ConsensusExpectation |
| Capital | Fund Flows, Shareholder Structure | AStockCashFlow, Top10ShareHolders |
JY Stock Analysis Advanced Features
- Multi-agent support via concurrent MCP tool execution for high-speed financial reporting.
- Built-in data validation logic that calculates logical consistency between prices and market caps.
- Intelligent stock and fund filtering using multi-factor selection algorithms.
- Automated research report summarization using professional financial viewpoints.
- Seamless integration with the broader Openclaw Skills framework for automated financial research pipelines.
SKILL.md
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