A Stock Data
v1.0.0A股数据查询技能。当用户询问中国A股股价、行情、K线、财务数据、实时行情、历史数据、涨停板、选股分析时使用。支持股票代码查询（如000001、600000）、股票名称查询。
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MIT-0
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LicenseMIT-0 · Free to use, modify, and redistribute. No attribution required.
Security Scan
OpenClaw
Benign
medium confidencePurpose & Capability
The name/description (A股数据查询) match the SKILL.md and Python scripts: they call AkShare for market/historical data, compute indicators with TA‑Lib, and render charts. The included scripts are directly relevant to the stated purpose.
Instruction Scope
SKILL.md instructs use of AkShare and TA‑Lib and contains example API calls limited to publicly available market data. It does perform network fetches via AkShare (expected). The instructions do not ask the agent to read unrelated system files or credentials. Note: SKILL.md is missing an explicit 'pip install akshare/matplotlib/pandas' line (it only mentions pip install ta-lib).
Install Mechanism
There is no install specification (instruction-only), which minimizes installer risk. The README suggests installing ta‑lib via pip; AkShare and plotting libs are used but not explicitly listed for installation. TA‑Lib can be nontrivial to install on some systems (binary dependency), so the skill may fail to run without extra setup, but this is not a malicious install mechanism.
Credentials
The skill requests no environment variables or credentials (appropriate). It does require network access to fetch market data via AkShare — this is expected but not declared. Both scripts save output to a hardcoded Windows path (C:\Users\Administrator\.openclaw\workspace\601390_chart.png), which is odd for cross‑platform agents and may cause failures or overwrite files; it is not credential access but is a small privacy/operational concern.
Persistence & Privilege
always:false and no special persistence or modifications to other skills or system settings. The skill only writes chart files into a workspace path (its own output), which is normal behavior for a charting utility.
Assessment
This skill is coherent for fetching and analyzing A‑share data, but check a few things before installing:
- Be prepared to allow network access (AkShare fetches data from the internet).
- Ensure Python dependencies are installed (akshare, pandas, matplotlib, and TA‑Lib). TA‑Lib may require system packages or binary wheels.
- The scripts save charts to a hardcoded Windows Administrator path — change it if you run on Linux/macOS or under a different user to avoid failures or accidental overwrites.
- Review AkShare as a third‑party data source (it aggregates data from various endpoints). If you need strict provenance or an enterprise data source, confirm AkShare is acceptable.
- If you need higher assurance, run the included scripts in a sandboxed environment first to observe network calls and file writes.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.