A股实时行情数据

What to consider before installing: - The skill appears to do what it claims (use mootdx to fetch A-share market data) and installs only public Python packages, so there is no upstream download-from-untrusted-host risk. - However the skill applies a global monkey-patch (tdxpy.hq.time_frame = lambda: True) to bypass trading-hour checks. That changes library behavior for the entire process and can mask legitimate empty-result conditions — run this in an isolated environment (virtualenv/container) and only if you understand the implication. - Documentation and code are inconsistent: SKILL.md shows async 'await' usage and claims the patch is applied in a MootdxClient.__init__(), while the included script uses synchronous mootdx APIs and applies the patch at script runtime. Expect to inspect/adjust call patterns when integrating. - The skill references a 'trading calendar service' but does not provide or require one; determine how you'll supply trading-day logic so queries don't return unexpected results. - Operational caution: the setup script will pip install packages and make network calls to TDX servers when run (connectivity test/demo). If you want to audit behavior first, run the script with --check (verify only) and review the code. Prefer running the demo in an isolated environment and review the patching lines before trusting results. If you need this functionality but want to reduce risk: inspect and remove/modify the automatic monkey-patch, or make it opt-in; fix the async/sync inconsistencies; and supply/declare the trading calendar dependency explicitly.