Getting it into your agent
One page per mod, every tool's command on it. A separate URL per tool would split the same page into five that compete with each other.
npx skills add zrtch/awesome-skills --skill akshare-stockgit clone --depth 1 https://github.com/zrtch/awesome-skillsWrote this? Show the measurements
A badge with what this costs and how it scanned, read live from this page, so it follows the numbers instead of freezing them. Markdown for a README, HTML for a documentation site or a project page.
[](https://agentmods.dev/skills/zrtch/awesome-skills/akshare-stock)<a href="https://agentmods.dev/skills/zrtch/awesome-skills/akshare-stock"><img src="https://agentmods.dev/badge/skills/zrtch/awesome-skills/akshare-stock/github.svg" alt="Measured on agentmods" height="20"></a>Or the 80×15 button, for a site that already has a row of RSS and ATOM ones. Only the verdict fits; the numbers stay here.
<a href="https://agentmods.dev/skills/zrtch/awesome-skills/akshare-stock"><img src="https://agentmods.dev/badge/skills/zrtch/awesome-skills/akshare-stock.svg" alt="Reviewed on agentmods" width="80" height="20"></a>What it costs to keep this loaded
Counted locally with the o200k_base tokenizer, which is exact for GPT models; Claude uses its own tokenizer and its counts differ. Treat this as one consistent yardstick across the catalogue rather than a bill. Prices are per million input tokens.
| Model | Per session | Once invoked |
|---|---|---|
| Fable 5.1 | $0.00051 | $0.00885 |
| Opus 5.5 | $0.00020 | $0.00354 |
| Sonnet 5.5 | $0.00010 | $0.00177 |
| Haiku 4.5 | $0.00005 | $0.00089 |
Grade A, and why
akshare-stock scanned grade A with 0 findings against 26 rules in 11 categories — prompt injection, anti-refusal, data exfiltration, privilege escalation, supply chain, agent snooping, system-prompt leakage, SSRF and excessive agency — measured 1mo ago.
A static scan of the body, not an audit. Every finding is printed with the line that produced it so you can judge whether it matters here. A mod is markdown that instructs an agent; that is exactly why what it instructs is worth reading.
Nothing flagged
None of the 26 patterns this scan looks for appear in this file: no shell pipes, no recursive deletes, no credential paths, no hidden text, no instruction-override or anti-refusal phrasing, no agent-config snooping. That is not a guarantee, it is the absence of the things that are checkable.
This is a copy
100% identical to akshare-stock — 0 lines differ, which has more behind it and is treated as the original. This page carries a canonical link to it rather than competing with it.
How it starts
The opening of the file, as written. The whole thing — 155 lines — stays where its author put it; the contents beside it link to each section on GitHub.
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()
What ships with it
1 file beside SKILL.md in the same directory: the scripts, references and assets a skill reads on demand. Not counted in the per-session cost; read them before you install if any of them is executable.
What this file has done since we first saw it
Hashed on every crawl. A supply-chain change to an agent config is a question of when, not whether, so the history is kept rather than the latest state alone.
- 1mo ago First seen · 155 lines · 51 tokens per session scan A eaf0dfd766c0
akshare-stock is a skill published in the GitHub repository zrtch/awesome-skills (2 stars, last pushed 6mo ago), licensed MIT. It adds 51 tokens to every session and 885 once invoked, about $0.0002 per session on Opus 5.5. A static security scan graded it A with 0 findings. It is 100% identical to akshare-stock, differing in 0 lines, and is treated as a copy.
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