This skill recommends suitable Chinese e-commerce platforms (Taobao, JD, Pinduoduo, Tmall, Suning, etc.) for a given product, category, or shopping intent. It maps product names to categories using bundled JSON data and explains why each platform fits, trade-offs, and next steps the user should take (seller checks, authenticity, shipping). The skill is backed by a small Python CLI for local recommendation logic; it does not do live price checks or browsing.
Use this skill when a user asks where to buy a specific item in China, wants platform recommendations by category (electronics, clothing, groceries, beauty), or asks for shopping guidance like "哪里买比较合适" or "推荐购物网站". Ask one clarifying question if the product description is too broad.
Best for agents that can run lightweight local scripts (python-backed skills) and deliver text recommendations: Claude Code, Copilot-style agents, Cursor-like assistants that support local script execution.
China Shopping recommends Chinese e-commerce platforms based on product category using local Python scripts and bundled JSON data. No scripts were available in the fetch payload to run-test. SKILL.md is well-structured with clear triggers, workflow, output format, and quality guidelines. Purely static analysis — no security concerns found, but runtime behavior of the Python script could not be verified.
Clean skill with no security issues. Scripts were not included in the fetch (scripts dict empty), so could not run-test. The SKILL.md references china-shopping.py and data/*.json files but these weren't provided for audit.
