US & HK stock full-stack data toolkit for AI coding assistants — 13 layers · 30+ endpoints · 11 sources · zero-auth....
Copy the install, test the workflow, then decide if it earns a permanent slot.
Still active enough to matter. Good candidate for a fast stack test instead of a long evaluation loop.
Copy the install, test the workflow, then decide if it earns a permanent slot.
Not hard to test, not trivial to unwind. Worth trying if it closes a sharp gap.
GitHub health 42/100. no security policy. 1 open issues make this testable, but not something to trust blind.
AI Agent
Claude Code
Model
Claude
Fastest way to find out if global-stock-data belongs in your setup.
Copy the install command, run a real test, and back it out cleanly if it slows you down.
# Visit: https://github.com/simonlin1212/global-stock-dataRun this first. You will know quickly if the workflow earns a permanent slot.
# No automated removal — visit https://github.com/simonlin1212/global-stock-dataNo messy cleanup loop. If it misses, remove it and keep moving.
Install Location
~/ └─ .claude/ ├─ commands/ ├─ agents/ │ └─ global-stock-data/ ← installs here └─ settings.json
US & HK stock full-stack data toolkit for AI coding assistants — 13 layers · 30+ endpoints · 11 sources · zero-auth. CBOE options with full Greeks + 0DTE flow, FINRA market-wide short volume, SEC EDGAR filing stream & free market-wide screener. Every source labeled with its compliance tier. 美股港股全栈数据工具包 (AI Skill)
Source: GitHub repository
Source check: July 24, 2026
Upstream commit: July 24, 2026
Repository state: Not marked archived
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