AKShare CN Market
v1.2.0中国A股行情与宏观经济数据工具,基于 AKShare 库。支持个股K线、大盘指数、财务摘要、GDP/CPI/PMI/M2货币供应、中美国债收益率等。
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byEski Yin@geoion
MIT-0
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LicenseMIT-0 · Free to use, modify, and redistribute. No attribution required.
Security Scan
OpenClaw
Benign
high confidencePurpose & Capability
The name/description (AKShare CN Market) match the included scripts and SKILL.md. The scripts call akshare functions to fetch stock K-lines, indices, macro data, bond rates and trade-calendar info — all consistent with the described functionality.
Instruction Scope
Runtime instructions are limited to installing akshare/pandas, running the provided scripts, or importing akshare in-agent. The instructions do not ask the agent to read local secrets, unrelated files, or transmit data to unexpected endpoints. Network access to public finance data sources is expected and documented.
Install Mechanism
No custom install spec is embedded; SKILL.md recommends 'pip install akshare pandas' which is a standard PyPI workflow. There are no downloads from untrusted URLs or archive extraction in the skill itself.
Credentials
The skill declares no required environment variables, credentials, or config paths. The scripts do not reference secrets or external credentials; they only call akshare APIs that fetch public data.
Persistence & Privilege
The skill is not forced-always, does not modify other skills or system-wide settings, and requests no persistent privileges. Agent autonomous invocation is allowed (platform default) but not combined with other red flags.
Assessment
This skill appears coherent and limited to fetching public market/macro data via the akshare Python library. Before installing: (1) run pip install in a controlled Python environment (virtualenv) to avoid contaminating system packages; (2) be aware akshare will make outbound HTTP requests to public finance sites (these requests may be visible in network logs and subject to sandbox/proxy restrictions); (3) verify you trust the akshare package version you install (review upstream project and changelog) and be mindful of rate limits or scraping-related legal/usage terms if you use data for heavy or commercial use; (4) do not expect real-time trading-grade latency — the README warns some real-time endpoints are proxy/blocked in sandboxes and data is for research only.Like a lobster shell, security has layers — review code before you run it.
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License
MIT-0
Free to use, modify, and redistribute. No attribution required.
