社保公积金基数与比例查询

查询全国各省、市最新社保缴费基数上下限、五险一金单位及个人缴纳比例，支持按地区检索、年度自动更新

Before installing or enabling this skill, consider the following: - The SKILL.md promises live scraping of official government sources and automatic monthly updates; the included main.py only returns hardcoded/mock data and will not perform the promised live updates unless modified. If you expect real-time official data, ask the author for the actual data-source implementation and a clear description of where network requests will go. - The code imports the 'requests' Python package but the skill metadata doesn't declare this dependency or provide an install step. Ensure your environment installs requests (pip install requests) or request the author add proper dependency/install instructions. - The documentation and code disagree about cache TTL (SKILL.md mentions using cache if ≤24 hours; code uses a 30-day TTL). Clarify which behavior you want and request a corrected implementation. - The skill writes cache.json to the skill directory. If that directory is shared or backed up, be aware of local persistence. Review the cache file contents for privacy concerns. - There are a few coding bugs/oddities (e.g., a numeric expression '0.1-1.5' in mock data) that suggest the implementation is incomplete or untested. If you need a trustworthy, automated updater that scrapes government sites, request provenance (exact endpoints, rate limits, scraping logic) and consider running the updater in a controlled environment (with network monitoring) or requiring the skill author to supply a vetted data source/API. If you only need local, manual queries with caching, this skill can be used after fixing the dependency and confirming expected cache behavior.

Type: OpenClaw Skill Name: social-security-fund-query Version: 1.0.1 The skill is a standard query tool for social security and housing fund data in China. The Python implementation (main.py) uses a local JSON file (cache.json) for caching and contains hardcoded mock data for Beijing, Shanghai, and Guangzhou. While SKILL.md claims the tool performs automated monthly updates from government websites, the current code lacks actual scraping or API logic and does not perform any suspicious network requests, data exfiltration, or unauthorized command execution.