问小达选A股

问小达选A股 is a skill for Claude Code, Codex from adambbhe/TDX-finance-mcp-plugin-v3. It costs 82 tokens per session (5,133 once invoked), scanned A, original, MIT.

A Chinese-language stock screener for A-shares, the shares traded on mainland Chinese stock exchanges. It turns natural-language requests into filters for prices, trends, company finances, industries, concepts, and money flows.

In plain words
What is it for?
Use it to find or rank A-share stocks by conditions such as price changes, valuation, financial results, technical patterns, sectors, concepts, or fund flows.
Why use it?
It avoids manually checking many separate stock indicators and combining the conditions yourself.

Skill for Claude CodeCodex

Written for no agent in particular: nothing here depends on one.

Good fit Use it to find or rank A-share stocks by conditions such as price changes, valuation, financial results, technical patterns, sectors, concepts, or fund flows.

Compare 6 skills from other repositories ↓
Install with agentmods
npx agentmods add skills/adambbhe/tdx-finance-mcp-plugin-v3/tdx-wxd-a
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 adambbhe/TDX-finance-mcp-plugin-v3 --skill tdx-wxd-a
Clone the repo
git clone --depth 1 https://github.com/adambbhe/TDX-finance-mcp-plugin-v3

Made for: Claude Code, Codex.

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 问小达选A股

README.md
[![agentmods](https://agentmods.dev/badge/skills/adambbhe/tdx-finance-mcp-plugin-v3/tdx-wxd-a/github.svg)](https://agentmods.dev/skills/adambbhe/tdx-finance-mcp-plugin-v3/tdx-wxd-a)
Your own site
<a href="https://agentmods.dev/skills/adambbhe/tdx-finance-mcp-plugin-v3/tdx-wxd-a"><img src="https://agentmods.dev/badge/skills/adambbhe/tdx-finance-mcp-plugin-v3/tdx-wxd-a/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 问小达选A股

Your own site · 80×15
<a href="https://agentmods.dev/skills/adambbhe/tdx-finance-mcp-plugin-v3/tdx-wxd-a"><img src="https://agentmods.dev/badge/skills/adambbhe/tdx-finance-mcp-plugin-v3/tdx-wxd-a.svg" alt="Reviewed on agentmods" width="80" height="20"></a>
Per session 82 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 5,133 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 $0.00082 $0.05133
Opus 5 $0.00041 $0.02567
Sonnet 5 $0.00016 $0.01027
Haiku 4.5 $0.00008 $0.00513

Measured 12d ago against content hash 6029d6fa79e9, method: parsed. Prices are Anthropic first-party input rates as of 2026-09-12, from the pricing page.

Security

Grade A, and why

问小达选A股 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 12d 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.

skills/tdx-wxd-a/SKILL.md · 532 lines

How it starts

The opening of the file, as written. The whole thing — 532 lines — stays where its author put it; the contents beside it link to each section on GitHub.

问小达选A股


目录


技能概述

本技能提供 A 股股票智能筛选能力,帮助用户快速找到符合特定条件的股票。通过自然语言查询,支持多种筛选维度的组合,为投资决策提供数据支持。

适用场景

  • 股票筛选(按涨跌幅、估值、财务指标等)
  • 股票排行(涨幅前列、市值最大等)
  • 技术形态筛选(均线多头、突破新高等)
  • 多条件组合筛选
  • 行业概念筛选

核心功能

支持的筛选维度

维度 说明 示例查询
行情指标 按股价、涨跌幅、成交量、换手率等筛选 股价小于10元、涨幅超过5%、放量上涨
技术形态 按均线多头、突破新高、K线形态等筛选 均线多头排列、突破半年新高、MACD金叉
财务指标 按营收、利润、PE、PB、ROE等筛选 市盈率低于20、净利润增长超过30%
估值指标 按市值、PE、PB、PEG等筛选 市值小于50亿、PB低于2
行业概念 按行业分类、概念题材筛选 科技股、医药股、新能源概念
资金流向 按主力资金、北向资金等筛选 主力净流入、北向资金持续流入
多条件组合 多个条件组合筛选 涨幅超过5%且市盈率低于20的科技股

核心能力

  1. 自然语言理解:将用户的口语化查询转换为标准筛选条件
  2. 多维度筛选:支持行情、财务、技术、资金等多维度组合
  3. 实时数据:基于通达信实时行情数据
  4. 智能改写:自动优化查询条件,提高查询成功率

数据来源与工具

主要数据源

  • 通达信问小达 (tdx_screener):核心选股数据接口
  • 通达信行情 (tdx_quotes):实时行情数据补充
  • 通达信K线 (tdx_kline):技术分析数据补充
  • 资讯接口 (tdx_api_data(entry="tdxf10_gg_rdtc", fixedTag="sjcd")):相关资讯补充
  • 研报接口 (tdx_api_data(entry="tdxf10_gg_ybpj", fixedTag="yzyq")):研报观点补充

依赖工具清单

工具名称 用途 使用场景
tdx_screener 选股查询 必须调用
tdx_quotes 获取实时行情 需要扩展数据时调用
tdx_kline 获取K线数据 技术形态分析时调用
tdx_api_data (entry="tdxf10_gg_rdtc", fixedTag="sjcd") 获取相关资讯 需要资讯背景时调用
tdx_api_data (entry="tdxf10_gg_ybpj", fixedTag="yzyq") 获取研报观点 需要专业分析时调用

使用流程

流程图

用户输入 → Query改写 → 调用接口 → 数据扩展 → 格式化输出

详细步骤

步骤 1:接收用户查询

接收用户的自然语言选股请求,分析用户意图和筛选条件。

用户输入示例

  • "涨幅超过5%的科技股"
  • "市盈率低于20且市值大于100亿"
  • "均线多头排列的股票"
  • "帮我选些涨得好的科技股"
步骤 2:Query 改写与标准化

将用户的口语化表达改写为标准的金融查询语句。

改写规则

  • 保留核心意图(涨幅、估值、行业等)
  • 将口语转为标准术语
  • 适当简化复杂条件
  • 保持原意不变

标准化映射表

用户输入 标准化 Query
帮我选些涨得好的科技股 涨幅超过5%的科技股
便宜且业绩好的股票 市盈率低于20且净利润增长超过30%
放量突破的股票 成交量放大且突破新高的股票
涨得很猛的 涨幅超过8%
价格不贵的 股价低于20元

Read the full file on GitHub · 532 lines

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. 12d ago First seen · 532 lines · 82 tokens per session scan A 6029d6fa79e9

Subscribe to this mod's changes

问小达选A股 is a skill published in the GitHub repository adambbhe/TDX-finance-mcp-plugin-v3 (35 stars, last pushed 2mo ago), licensed MIT. It adds 82 tokens to every session and 5,133 once invoked, about $0.0004 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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