ashare

ashare is a skill for Claude Code from 410417122/ashare-ai. It costs 62 tokens per session (2,856 once invoked), scanned A, original, MIT.

A Chinese-language guide for analysing and backtesting Chinese A-share stock strategies with Tushare Pro and Backtrader. Backtesting means running a strategy against historical market data to see how it would have performed.

In plain words
What is it for?
Use it to retrieve A-share data, backtest trading strategies, create charts, and choose the correct Tushare token setup.
Why use it?
It defines how to fetch data, run analyses, show results, and handle errors instead of leaving those steps implicit. It also requires checking official documentation when an interface is uncertain.

Skill for Claude Code

Written for Claude Code: allowed-tools in frontmatter.

Part of the ashare-plugin plugin — 1 skill shipped together

Good fit Use it to retrieve A-share data, backtest trading strategies, create charts, and choose the correct Tushare token setup.

Compare 6 skills from other repositories ↓
Install with agentmods
npx agentmods add skills/410417122/ashare-ai/ashare
Install

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.

Any agent
npx skills add 410417122/ashare-ai --skill ashare
Clone the repo
git clone --depth 1 https://github.com/410417122/ashare-ai

Made for: Claude Code.

Or install ashare-plugin, the plugin that ships this one along with the rest of its 1 skill.

Wrote 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.

agentmods badge for ashare

README.md
[![agentmods](https://agentmods.dev/badge/skills/410417122/ashare-ai/ashare/github.svg)](https://agentmods.dev/skills/410417122/ashare-ai/ashare)
Your own site
<a href="https://agentmods.dev/skills/410417122/ashare-ai/ashare"><img src="https://agentmods.dev/badge/skills/410417122/ashare-ai/ashare/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.

agentmods 80×15 button for ashare

Your own site · 80×15
<a href="https://agentmods.dev/skills/410417122/ashare-ai/ashare"><img src="https://agentmods.dev/badge/skills/410417122/ashare-ai/ashare.svg" alt="Reviewed on agentmods" width="80" height="20"></a>
Per session 62 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 2,856 The whole file, excluding the scripts and references it only reads on demand.
Security scan A 0 findings. A grade says what 26 rules found in the file — not that it is safe.
Origin original No closer match found in the catalogue.
Token cost

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.

ModelPer sessionOnce invoked
Fable 5.1 $0.00062 $0.02856
Opus 5 $0.00031 $0.01428
Sonnet 5 $0.00012 $0.00571
Haiku 4.5 $0.00006 $0.00286

Measured 10d ago against content hash fc2435ad0733, method: parsed. Prices are Anthropic first-party input rates as of 2026-09-10, from the pricing page.

Security

Grade A, and why

ashare 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 10d 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.

ashare-plugin/skills/ashare/SKILL.md · 331 lines

How it starts

The opening of the file, as written. The whole thing — 331 lines — stays where its author put it; the contents beside it link to each section on GitHub.

A股量化交易 Skill (Tushare Pro + Backtrader)

执行哲学

你是执行者,不是教程生成器。

当用户要求回测时,他们想看到结果,不是让他们自己复制代码运行。当用户要求图表时,他们想看到图表,不是一个文件路径。

核心原则

用户请求 ❌ 错误做法 ✅ 正确做法
"回测这个策略" "这是代码,你自己运行" 执行代码,展示回测结果
"获取平安银行数据" "用 pro.daily() 接口" 执行代码,展示数据
"画个K线图" "保存到 chart.png" 执行并打开图片

关键行为准则

  1. 写了代码就要运行 - 用 Bash 执行 Python,不要只给代码块
  2. 生成文件就要打开 - 图表/报告生成后,执行 start <filepath> (Windows)
  3. 遇到错误就要修复 - 不要只报告错误,要调试解决
  4. 不确定就要查文档 - 用 context7 查询,不要凭记忆猜测

Tushare Token 配置(重要)

在首次使用或需要获取数据时,必须先询问用户使用哪种 Token 类型。

Token 类型选择

Tushare 支持两种连接方式:

方式一:官方 Token(推荐)

适用于直接从 Tushare Pro 官网注册获取的 token。

import tushare as ts

# 方法1:使用 set_token(推荐)
ts.set_token('your_official_token')
pro = ts.pro_api()

# 方法2:直接传入 token
pro = ts.pro_api('your_official_token')
方式二:中转 Token

适用于使用中转服务的 token(如 tushare.xiximiao.com)。

import tushare as ts

pro = ts.pro_api('占位符')
pro._DataApi__token = '你的中转Token'
pro._DataApi__http_url = 'http://tushare.xiximiao.com/dataapi'

使用流程

  1. 首次使用时询问

    请问您使用的是:
    1. Tushare 官方 Token(从 tushare.pro 注册获取)
    2. 中转 Token(如 tushare.xiximiao.com)
    
    请告诉我您使用的是哪种 Token,以及您的 Token 值。
    
  2. 根据用户选择使用对应的初始化代码

  3. 后续使用时

    • 如果用户已经配置过,直接使用对应的方式
    • 如果不确定,再次询问用户

注意事项

  • 不要假设用户使用哪种方式,必须明确询问
  • 官方 Token 和中转 Token 的初始化代码不同,不可混用
  • 中转 Token 需要额外设置 http_url

核心原则:不确定就查文档

这是最重要的原则:遇到任何不确定的接口、参数、字段,必须用 context7 查询官方文档。

Tushare 接口查询

Library ID: /websites/tushare_pro_document

查询示例:
- "daily 日线行情 返回字段 open high low close"
- "fina_indicator 财务指标 roe eps 参数"
- "stock_basic 股票列表 industry market"
- "stk_factor_pro pe pb 市盈率 市净率"
- "moneyflow 资金流向 buy_sm buy_md"

Backtrader 功能查询

Library ID: /websites/backtrader_docu

查询示例:
- "cerebro adddata PandasData dataframe"
- "strategy buy sell order next"
- "indicator SMA EMA RSI MACD period"
- "analyzer SharpeRatio Returns DrawDown"
- "broker setcommission commission"

Read the full file on GitHub · 331 lines

Files

What ships with it

11 files 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.

Changes

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.

  1. 10d ago First seen · 331 lines · 62 tokens per session scan A fc2435ad0733

Subscribe to this mod's changes

ashare is a skill published in the GitHub repository 410417122/ashare-ai (22 stars, last pushed 7mo ago), licensed MIT. It adds 62 tokens to every session and 2,856 once invoked, about $0.0003 per session on Opus 5. A static security scan graded it A with 0 findings. No closer match exists in the catalogue, so it is treated as the original; first seen 2026-08-30.

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