查询龙头博弈分析

查询龙头博弈分析 is a skill for Codex from adambbhe/TDX-finance-mcp-plugin-v3. It costs 168 tokens per session (2,021 once invoked), scanned A, original, MIT.

A stock-market analysis skill focused on limit-up stocks, multi-day winning streaks, market sentiment, and identifying leading stocks within a theme. It uses market, price, trading-structure, and news data to assess the broader pattern before an individual stock.

In plain words
What is it for?
Use it to study limit-up structures, sentiment cycles, leading stocks, trading volume, fund flows, order quality, and short-term entry signals. It is aimed at speculative trading analysis, not long-term portfolio planning.
Why use it?
It helps replace a single-stock guess with a view of whether the overall market structure supports that type of short-term trade. It also distinguishes leaders, followers, trend stocks, and weakening setups.

Skill for Codex

Written for Codex: agents/openai.yaml present. Also seen: mentions Codex.

Good fit Use it to study limit-up structures, sentiment cycles, leading stocks, trading volume, fund flows, order quality, and short-term entry signals. It is aimed at speculative trading analysis, not long-term portfolio planning.

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Install with agentmods
npx agentmods add skills/adambbhe/tdx-finance-mcp-plugin-v3/tdx-ztltby
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-ztltby
Clone the repo
git clone --depth 1 https://github.com/adambbhe/TDX-finance-mcp-plugin-v3

Made for: 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 查询龙头博弈分析

README.md
[![agentmods](https://agentmods.dev/badge/skills/adambbhe/tdx-finance-mcp-plugin-v3/tdx-ztltby/github.svg)](https://agentmods.dev/skills/adambbhe/tdx-finance-mcp-plugin-v3/tdx-ztltby)
Your own site
<a href="https://agentmods.dev/skills/adambbhe/tdx-finance-mcp-plugin-v3/tdx-ztltby"><img src="https://agentmods.dev/badge/skills/adambbhe/tdx-finance-mcp-plugin-v3/tdx-ztltby/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 查询龙头博弈分析

Your own site · 80×15
<a href="https://agentmods.dev/skills/adambbhe/tdx-finance-mcp-plugin-v3/tdx-ztltby"><img src="https://agentmods.dev/badge/skills/adambbhe/tdx-finance-mcp-plugin-v3/tdx-ztltby.svg" alt="Reviewed on agentmods" width="80" height="20"></a>
Per session 168 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 2,021 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 $0.00168 $0.02021
Opus 5 $0.00084 $0.01010
Sonnet 5 $0.00034 $0.00404
Haiku 4.5 $0.00017 $0.00202

Measured 12d ago against content hash 218530aa298e, method: parsed. Prices are Anthropic first-party input rates as of 2026-09-12, from the pricing page.

Security

Grade A, and why

查询龙头博弈分析 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-ztltby/SKILL.md · 118 lines

How it starts

The opening of the file, as written. The whole thing — 118 lines — stays where its author put it; the contents beside it link to each section on GitHub.

TDX Limit-Up Dragon Cycle

Overview

只使用当前项目 src/ 已有工具:

  • tdx_screener
  • tdx_lookup_stock
  • tdx_quotes
  • tdx_kline
  • tdx_api_data
  • tdx_api_data(entry="tdxf10_gg_rdtc", fixedTag="sjcd")
  • tdx_api_data(entry="tdxf10_gg_ybpj", fixedTag="yjyg")
  • tdx_api_data(entry="tdxf10_gg_ybpj", fixedTag="yzyq")

优先做“结构判断”,再做“个股判断”。先回答市场情绪和涨停结构是否支持博弈,再回答具体龙头能不能做、该博弈什么信号、什么情况下不该做。

如果用户没有指定个股,默认进入“市场模式”。如果用户给了具体股票、题材或“某股是不是龙头”之类的问题,先做一遍简化市场判断,再进入“个股模式”。

如需更细的情绪周期分层和角色划分,读取 references/decision-rules.md

Tool Routing

  • tdx_screener 看全市场结构,常用查询:
    • 涨停
    • 跌停
    • 2连板
    • 3连板
    • 主力净流入
  • tdx_quotes 看指数、板块和个股强弱;个股模式优先打开 hasHQInfo="1" hasExtInfo="1",需要更完整盘口时加 hasProInfo="1" bspNum="5"
  • tdx_kline 看 5 日和 30 日结构,确认是主升、分歧、修复还是高位走弱。
  • tdx_api_data 拉个股交易结构:
    • entry="TdxSharePCCW.tdxf10_gg_jyds" fixedTag="ztfx" 看涨停分析
    • entry="TdxSharePCCW.tdxf10_gg_jyds" fixedTag="zjlx" 看资金流向
    • entry="TdxSharePCCW.tdxf10_gg_comreq" fixedTag="jglhb" 看龙虎榜可用日期
    • entry="TdxSharePCCW.tdxf10_gg_jyds" fixedTag="jglhb" 看龙虎榜明细
    • entry="TdxSharePCCW.tdxf10_gg_rdtc" fixedTag="zttzbkz" 看热点题材板块族谱
    • entry="TdxSharePCCW.tdxf10_gg_rdtc" fixedTag="sjcd" 看事件驱动
  • tdx_api_data(entry="tdxf10_gg_rdtc", fixedTag="sjcd")tdx_api_data(entry="tdxf10_gg_ybpj", fixedTag="yjyg")tdx_api_data(entry="tdxf10_gg_ybpj", fixedTag="yzyq") 验证催化、公告和拥挤度;只在事件驱动或逻辑存在争议时调用,不要无差别堆工具。[已切换为 F10 替代方案]

Workflow

市场模式

  1. 先判断市场是否支持短线博弈。至少查看上证、深成指、创业板指,再看 涨停 / 跌停 / 2连板 / 3连板 的分布。
  2. 再判断涨停结构。重点回答:
    • 涨停家数是扩散还是收缩
    • 连板高度是否抬升
    • 2 板、3 板以上是否形成有效梯队
    • 高位股反馈是修复、分歧还是负反馈
  3. 再区分主线和杂线。不要把一日脉冲误判为主线;优先识别“有梯队、有核心锚点、有资金回流”的方向。
  4. 再判断情绪周期。必须给证据,不要只下结论。证据优先级:
    • 连板高度和梯队完整度
    • 高位股承接与负反馈
    • 低位首板扩散力度
    • 跌停压力和亏钱效应
  5. 最后输出“明日博弈点”。明确说明明天应该盯:
    • 龙头弱转强
    • 分歧后的回流
    • 中军放量新高
    • 后排掉队
    • 是否出现卡位成功

个股模式

  1. 用户只给名称时,先用 tdx_lookup_stock 解析证券代码和市场。
  2. tdx_quotes + tdx_kline(period="4", wantNum="5") 判断当下强弱,再用 tdx_kline(period="4", wantNum="30") 判断位置高低。
  3. tdx_api_data fixedTag="ztfx" 看该股涨停原因、首次涨停时间、封单金额和主题。
  4. tdx_api_data fixedTag="zjlx" 看主力净额是否持续支持。
  5. 需要验证席位博弈时,先查 jglhb 可用日期,再查对应日期龙虎榜明细。
  6. 需要判断该股属于哪个热点链路时,再补 zttzbkzsjcd
  7. references/decision-rules.md 把它归类为:
    • 情绪龙头
    • 趋势中军
    • 补涨
    • 后排跟风
    • 伪强
  8. 最终只给“可执行的博弈结论”,例如:
    • 只适合分歧低吸,不适合追涨
    • 只看弱转强,不接受低开走弱
    • 只能当情绪观察标,不作为核心交易标的
    • 高位兑现风险大,放弃博弈

Read the full file on GitHub · 118 lines

Files

What ships with it

2 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. 12d ago First seen · 118 lines · 168 tokens per session scan A 218530aa298e

Subscribe to this mod's changes

查询龙头博弈分析 is a skill published in the GitHub repository adambbhe/TDX-finance-mcp-plugin-v3 (35 stars, last pushed 2mo ago), licensed MIT. It adds 168 tokens to every session and 2,021 once invoked, about $0.0008 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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