问小达选板块

问小达选板块 is a skill for Claude Code, Codex from adambbhe/TDX-finance-mcp-plugin-v3. It costs 74 tokens per session (2,807 once invoked), scanned A, original, MIT.

A tool for filtering stock-market sectors using TongdaXin market data, based on valuation, money flows, price changes, volume, and sector type.

In plain words
What is it for?
Finding industry, concept, or regional sectors that meet conditions such as low price-to-earnings ratios, strong fund inflows, high gains, or increased trading activity.
Why use it?
It turns plain-language requests into structured filters, so users can find matching sectors without manually checking many market indicators.

Skill for Claude CodeCodex

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

Good fit Finding industry, concept, or regional sectors that meet conditions such as low price-to-earnings ratios, strong fund inflows, high gains, or increased trading activity.

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Install with agentmods
npx agentmods add skills/adambbhe/tdx-finance-mcp-plugin-v3/tdx-wxd-bk
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-bk
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 问小达选板块

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

Your own site · 80×15
<a href="https://agentmods.dev/skills/adambbhe/tdx-finance-mcp-plugin-v3/tdx-wxd-bk"><img src="https://agentmods.dev/badge/skills/adambbhe/tdx-finance-mcp-plugin-v3/tdx-wxd-bk.svg" alt="Reviewed on agentmods" width="80" height="20"></a>
Per session 74 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 2,807 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 $0.00074 $0.02807
Opus 5 $0.00037 $0.01404
Sonnet 5 $0.00015 $0.00561
Haiku 4.5 $0.00007 $0.00281

Measured 12d ago against content hash cb2453af1b86, method: parsed. Prices are Anthropic first-party input rates as of 2026-09-12, from the pricing page.

Security

Grade A, and why

问小达选板块 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-bk/SKILL.md · 261 lines

How it starts

The opening of the file, as written. The whole thing — 261 lines — stays where its author put it; the contents beside it link to each section on GitHub.

问小达选板块 使用指南

技能概述

本技能提供市场板块智能筛选能力,帮助用户快速找到符合特定条件的板块。通过自然语言查询,支持多种筛选维度的组合。

核心功能

支持的筛选维度

维度 说明 示例
估值筛选 按 PE、PB、估值分位等指标筛选 市盈率低于20的板块、PB排名前10
资金流向 按主力资金净流入、北向资金等筛选 主力净流入的板块、北向资金持续流入
涨跌幅 按涨幅、跌幅排序筛选 涨幅前5的板块、跌幅榜
板块类型 区分行业板块、概念板块、地域板块 概念板块、行业板块
成交量 按成交额、换手率筛选 放量上涨、换手率超过5%
多条件组合 多个条件组合筛选 涨幅前3且主力净流入的行业板块

数据来源

  • 主要数据源: 通达信问小达 (tdx_screener)
  • 辅助数据源: 通达信行情数据、资讯数据

使用流程

步骤 1: 接收用户查询

接收用户的自然语言选板块请求,分析用户意图和筛选条件。

用户输入示例:

  • "涨幅前5的板块"
  • "今天资金流入最多的概念板块"
  • "市盈率低于20的行业"

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、资金流入、估值等)
  • 将口语转为标准术语("涨得好的" → "涨幅前五")
  • 适当简化复杂条件
  • 保持原意不变
  • ⚠️ 关键:遵循NLP解析器词序敏感性规则,板块分类关键字必须前置

标准化示例:

用户输入 标准化 Query
帮我选涨得好的概念板块 概念板块涨幅前五
今天流入最多的概念板块 概念板块主力净流入前五
昨日涨幅前5的概念 概念板块昨日涨幅前5
市盈率低且换手高的行业板块 行业板块市盈率较低且换手率较高
涨幅前5的板块(默认行业) 行业板块涨幅前5

步骤 3: 调用数据接口

使用 tdx_screener 工具查询板块数据:

tdx_screener message="<标准化的Query>" rang="ZS"

参数说明:

  • message: 标准化后的查询语句
  • rang: 市场范围,板块查询使用 "ZS"(指数)

⚠️ NLP解析器词序敏感性

重要提示:通达信NLP解析器对词序非常敏感!

板块分类关键词的优先级规则
  1. 分类关键字必须前置:查询概念板块、行业板块时,分类关键字应放在筛选条件之前
  2. 默认行为:如果"板块"出现在句尾,系统默认解析为"行业板块"
正确的查询句式
意图 ❌ 错误句式 ✅ 正确句式
概念板块 昨日涨幅前5的概念板块 概念板块昨日涨幅前5`
概念板块 涨幅前5的概念 概念板块涨幅前5
行业板块 概念板块昨日涨幅前5 行业板块昨日涨幅前5
行业板块 昨日涨幅前5(默认为行业) 行业板块昨日涨幅前5
解析失败时的错误信号
  • 错误信息: "获取nlpseId失败!"
  • 此时需要调整查询句式,将分类关键字前置
调用策略

查询概念板块时

  • 优先使用: 概念板块<筛选条件>
  • 示例: 概念板块昨日涨幅前5概念板块主力净流入前10

查询行业板块时

  • 可以使用: <筛选条件>的板块(默认为行业)
  • 或明确指定: 行业板块<筛选条件>
  • 示例: 昨日涨幅前5行业板块涨幅前5

查询地域板块时

  • 必须前置: 地域板块<筛选条件>
  • 示例: 地域板块昨日涨幅前5

步骤 4: 数据扩展决策(可选)

根据数据完整性决定是否需要补充信息:

数据完整: 直接格式化返回结果

需要扩展背景信息:

  • 调用 tdx_api_data(entry="tdxf10_gg_rdtc", fixedTag="sjcd") 获取相关资讯
  • 调用 tdx_quotes 获取实时行情
  • 调用 tdx_api_data(entry="tdxf10_gg_ybpj", fixedTag="yzyq") 获取研报观点

Read the full file on GitHub · 261 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 · 261 lines · 74 tokens per session scan A cb2453af1b86

Subscribe to this mod's changes

问小达选板块 is a skill published in the GitHub repository adambbhe/TDX-finance-mcp-plugin-v3 (35 stars, last pushed 2mo ago), licensed MIT. It adds 74 tokens to every session and 2,807 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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