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...

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).

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.