实现基于qmt智能交易终端的A股交易数据本地化

基于QMT量化交易平台，支持自然语言指令下载并实时网页监控A股多周期历史行情数据，含智能错误处理和任务控制。

Before installing/running: 1) Confirm you have a legitimate local QMT installation and set qmt_path in config.json correctly; the skill will try to start/check the QMT executable. 2) Review and set base_path to a safe directory — the skill will create folders and write many CSV files. 3) The web UI runs a local Flask/Socket.IO server (ports ~5018–5038) and, if local static files are missing, will load Bootstrap/Font Awesome from public CDNs (your browser will contact those CDNs). If you require full offline operation, ensure the provided static assets are present. 4) The code uses subprocess/psutil to inspect and launch local processes and may call os._exit to terminate the server on idle; run it in a controlled environment you trust. 5) The package has some duplicated/sloppy code (e.g., duplicate start_qmt definitions) — consider reviewing the code or running in a sandbox before using on sensitive systems.

Type: OpenClaw Skill Name: stock-qdata Version: 1.0.1 The skill bundle is a legitimate tool designed to download A-share historical market data using the QMT (Quantitative Management Technology) platform. It features a natural language instruction parser in `main.py`, core data processing logic in `agent.py`, and a Flask-based web dashboard in `monitor.py` for real-time progress tracking. The code uses standard libraries (pandas, flask, socketio) and interacts with the local QMT client as expected. No evidence of data exfiltration, malicious remote execution, or prompt injection was found; the use of subprocesses is strictly limited to managing the local monitoring server and the QMT executable.