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Akshare Stock Temp
by
Liguang00806
· GitHub ↗
· v1.0.0
· MIT-0
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Install in OpenClaw
/install akshare-stock-temp
Description
A股量化数据分析工具,基于AkShare库获取A股行情、财务数据、板块信息等。用于回答关于A股股票查询、行情数据、财务分析、选股等问题。
README (SKILL.md)
A股量化 - AkShare 数据接口
快速开始
安装依赖:
pip install akshare
支持的功能
1. 实时行情查询
import akshare as ak
# 个股实时行情
stock_zh_a_spot_em()
stock_zh_a_spot_em(symbol="北证A股")
2. 历史K线数据
import akshare as ak
# 日K线
stock_zh_a_hist(symbol="000001", period="daily", start_date="20240101", end_date="20241231", adjust="qfq")
# 周K线
stock_zh_a_hist(symbol="000001", period="weekly", start_date="20240101", end_date="20241231", adjust="qfq")
# 月K线
stock_zh_a_hist(symbol="000001", period="monthly", start_date="20240101", end_date="20241231", adjust="qfq")
3. 财务数据
import akshare as ak
# 财务报表
stock_financial_abstract_ths(symbol="000001", indicator="按报告期")
# 主要财务指标
stock_financial_analysis_indicator(symbol="000001")
4. 板块/行业分析
import akshare as ak
# 行业板块行情
stock_board_industry_name_em()
# 概念板块行情
stock_board_concept_name_em()
# 板块内个股
stock_board_industry_cons_em(symbol="半导体")
5. 资金流向
import akshare as ak
# 个股资金流向
stock_individual_fund_flow(stock="000001", market="sh")
# 大单净流入
stock_individual_fund_flow(stock="000001", market="sh", symbol="大单净流入")
6. 龙虎榜
import akshare as ak
# 每日龙虎榜
stock_lhb_detail_em(date="20240930")
# 机构调研
stock_zlzj_em()
7. 新股/IPO
import akshare as ak
# 新股申购
stock_new_ipo_em()
# 待上市新股
stock_new_ipo_start_em()
8. 融资融券
import akshare as ak
# 融资融券
stock_margin_sse(symbol="600000")
# 融资融券明细
stock_rzrq_detail_em(symbol="600000", date="20240930")
常用股票代码
- 平安银行: 000001
- 贵州茅台: 600519
- 宁德时代: 300750
- 比亚迪: 002594
- 招商银行: 600036
备选方案: Baostock
如果 AkShare 安装失败,可使用 baostock(更轻量):
import baostock as bs
# 登录
lg = bs.login()
print(lg.error_msg)
# 获取历史K线
rs = bs.query_history_k_data_plus('sh.600519',
'date,code,open,high,low,close,volume',
start_date='20250101',
end_date='20251231')
data_list = []
while rs.next:
data_list.append(rs.get_row_data())
bs.logout()
注意事项
- 数据仅供学术研究,不构成投资建议
- 接口可能因目标网站变动而失效
- 建议添加异常处理和重试机制
- 当前环境网络问题可能导致测试失败,请在本地环境测试
Usage Guidance
This skill is internally consistent: it wraps the AkShare Python library to fetch Chinese A‑share data and needs only network access and the AkShare package from PyPI. Before installing: 1) verify the publisher/source (metadata in the bundle is inconsistent: _meta.json owner/slug/version differ from registry metadata and the package has no homepage), 2) run 'pip install akshare' in a virtualenv or isolated environment and inspect/lock the akshare version, 3) be aware the included script has a bug (undefined call in get_fund_flow) so expect runtime errors unless fixed, and 4) treat retrieved data as informational only (the SKILL.md already warns it’s not investment advice). If you require higher assurance, ask the publisher for a canonical repository/homepage and a matching metadata update before installing.
Capability Analysis
Type: OpenClaw Skill
Name: akshare-stock-temp
Version: 1.0.0
The skill bundle is a legitimate tool for A-share stock market data analysis using the AkShare library. The Python script `scripts/stock_cli.py` provides a standard CLI wrapper for financial data retrieval, and the `SKILL.md` file contains appropriate documentation and usage examples without any signs of prompt injection or malicious instructions.
Capability Assessment
Purpose & Capability
Name and description match the included instructions and the Python script: both use the AkShare library to fetch A‑share quotes, historical K‑lines, board/sector data, fund flows, etc. No unrelated credentials, binaries, or system paths are requested.
Instruction Scope
SKILL.md gives concrete AkShare API calls and a Baostock fallback; it instructs installing akshare via pip and notes network dependence. The runtime instructions do not ask for unrelated files or secrets. One practical issue: the script calls a function get_fund_flow that uses an undefined name stock_individual_fund_flow (missing ak. prefix), which will raise a runtime error—this is sloppy but not malicious.
Install Mechanism
There is no automated install spec in the bundle (instruction-only), which is lower risk. The README recommends 'pip install akshare' — this will download code from PyPI and the library will make outbound network requests to data sources. That is expected for this purpose but means you should review the akshare package/version and run in a controlled environment if concerned.
Credentials
The skill declares no required environment variables, credentials, or config paths. The code and instructions do not attempt to read secrets or unrelated env vars. Network access is required for data retrieval, which is proportionate to the stated function.
Persistence & Privilege
The skill does not request permanent presence (always=false) and does not modify system or other skill configs. Autonomous invocation is allowed by default (normal) but not combined with other high-risk behaviors here.
How to Use
- Make sure OpenClaw is installed (local or Docker)
- Run the install command in chat:
/install akshare-stock-temp - After installation, invoke the skill by name or use
/akshare-stock-temp - Provide required inputs per the skill's parameter spec and get structured output
Version History
v1.0.0
Initial release of akshare-stock-temp.
- Provides A股量化数据分析工具 using AkShare for real-time quotes, historical K-line, financials, sectors, fund flow, top lists, IPO, and margin trading.
- Includes usage examples for each supported feature.
- Lists common stock codes for convenience.
- Offers a fallback guide for Baostock if AkShare installation fails.
- Notes important caveats on data use and reliability.
Metadata
Frequently Asked Questions
What is Akshare Stock Temp?
A股量化数据分析工具,基于AkShare库获取A股行情、财务数据、板块信息等。用于回答关于A股股票查询、行情数据、财务分析、选股等问题。 It is an AI Agent Skill for Claude Code / OpenClaw, with 698 downloads so far.
How do I install Akshare Stock Temp?
Run "/install akshare-stock-temp" in the OpenClaw or Claude Code chat to install it in one step — no extra setup required.
Is Akshare Stock Temp free?
Yes, Akshare Stock Temp is completely free, licensed under MIT-0. You can download, install and use it at no cost.
Which platforms does Akshare Stock Temp support?
Akshare Stock Temp is cross-platform and runs anywhere OpenClaw / Claude Code is available (cross-platform).
Who created Akshare Stock Temp?
It is built and maintained by Liguang00806 (@liguang00806); the current version is v1.0.0.
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