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charonling

AI Stock Research Team

by charonling · GitHub ↗ · v1.0.0 · MIT-0
cross-platform ✓ Security Clean
492
Downloads
1
Stars
2
Active Installs
1
Versions
Install in OpenClaw
/install stock-research-team
Description
Multi-role AI stock research team. When a user asks to analyze a stock (e.g. "分析贵州茅台", "analyze NVDA", "帮我看看AAPL"), this skill orchestrates technical, fundam...
Usage Guidance
This skill appears to do what it says: it installs a Python virtual environment, pip-installs mcp/akshare/yfinance, and registers a local MCP server by writing to ~/.openclaw/openclaw.json or ~/.workbuddy/mcp.json. Before installing: (1) review scripts/setup.sh and scripts/server.py yourself (they will create ~/.openclaw entries and a .venv under the skill folder), (2) be aware pip will download third‑party packages (akshare/yfinance/mcp) — ensure you trust those packages and have a network connection, (3) consider running the setup in an isolated environment or VM if you want to limit impact, and (4) the uninstall.sh will remove the .venv and try to remove MCP entries but you should verify config changes after uninstall. If you want higher assurance, inspect server.py for any remote callbacks or unexpected network calls (the included code calls akshare and yfinance only).
Capability Analysis
Type: OpenClaw Skill Name: stock-research-team Version: 1.0.0 The stock-research-team skill is a well-structured tool designed for multi-role financial analysis. It utilizes a dedicated MCP server (scripts/server.py) to fetch real-time and historical data for A-shares and US stocks using legitimate libraries (akshare and yfinance). The setup and uninstallation scripts (scripts/setup.sh, scripts/uninstall.sh) perform standard environment configuration and tool registration without any evidence of malicious intent, data exfiltration, or unauthorized persistence.
Capability Assessment
Purpose & Capability
Name/description promise (multi-role stock research) matches the included assets: SKILL.md, a Python MCP server (server.py) and scripts to create a venv and install akshare/yfinance. Requiring python3 is appropriate and expected.
Instruction Scope
SKILL.md instructs the user to run scripts/setup.sh to install dependencies and register an MCP server, and the runtime guidance restricts data sources to MCP tools (akshare/yfinance). The setup script will write to user MCP config files (openclaw.json or WorkBuddy mcp.json) to register the server — this is within purpose but is a privileged filesystem change the user should expect.
Install Mechanism
No registry install spec is provided; installation is performed by the included setup.sh which creates a Python virtualenv and pip-installs mcp, akshare, yfinance from PyPI. This is a common pattern but has moderate risk because it downloads and installs third‑party packages and writes files into the user's home directory.
Credentials
The skill declares no required environment variables or credentials. The dependencies and the files it modifies (virtualenv and MCP config) are proportional to running a local MCP server that fetches market data.
Persistence & Privilege
The setup registers a local MCP server by adding entries to OpenClaw/WorkBuddy config (or instructing manual registration). That gives the skill a persistent local service that can be invoked by the agent via MCP — expected for this functionality but the user should know a background server process will be installed and callable by the agent.
How to Use
  1. Make sure OpenClaw is installed (local or Docker)
  2. Run the install command in chat: /install stock-research-team
  3. After installation, invoke the skill by name or use /stock-research-team
  4. Provide required inputs per the skill's parameter spec and get structured output
Version History
v1.0.0
Initial release: Multi-role AI stock research team with 6 analyst roles, MCP Server, A-share and US stock support
Metadata
Slug stock-research-team
Version 1.0.0
License MIT-0
All-time Installs 3
Active Installs 2
Total Versions 1
Frequently Asked Questions

What is AI Stock Research Team?

Multi-role AI stock research team. When a user asks to analyze a stock (e.g. "分析贵州茅台", "analyze NVDA", "帮我看看AAPL"), this skill orchestrates technical, fundam... It is an AI Agent Skill for Claude Code / OpenClaw, with 492 downloads so far.

How do I install AI Stock Research Team?

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

Is AI Stock Research Team free?

Yes, AI Stock Research Team is completely free, licensed under MIT-0. You can download, install and use it at no cost.

Which platforms does AI Stock Research Team support?

AI Stock Research Team is cross-platform and runs anywhere OpenClaw / Claude Code is available (cross-platform).

Who created AI Stock Research Team?

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

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