查询龙虎榜席位风格

查询龙虎榜席位风格 is a skill for Codex from adambbhe/TDX-finance-mcp-plugin-v3. It costs 245 tokens per session (2,038 once invoked), scanned A, original, MIT.

A Chinese-language guide for analysing China’s Dragon-Tiger List, a stock-market report showing notable trading activity by brokerage branches. It focuses on which branches bought or sold, their net amounts, and their short-term trading patterns.

In plain words
What is it for?
Looking up a stock and date, retrieving Dragon-Tiger List details, checking price and trading data, and writing a review or report about major trading branches and risks.
Why use it?
It organises scattered market data into a structured review while explaining whether money appears to be entering, taking profits, following a short-term rally, or leading the stock.

Skill for Codex

Written for Codex: agents/openai.yaml present.

Good fit Looking up a stock and date, retrieving Dragon-Tiger List details, checking price and trading data, and writing a review or report about major trading branches and risks.

Compare 6 skills from other repositories ↓
Install with agentmods
npx agentmods add skills/adambbhe/tdx-finance-mcp-plugin-v3/tdx-lhbxwfg
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-lhbxwfg
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 查询龙虎榜席位风格

README.md
[![agentmods](https://agentmods.dev/badge/skills/adambbhe/tdx-finance-mcp-plugin-v3/tdx-lhbxwfg/github.svg)](https://agentmods.dev/skills/adambbhe/tdx-finance-mcp-plugin-v3/tdx-lhbxwfg)
Your own site
<a href="https://agentmods.dev/skills/adambbhe/tdx-finance-mcp-plugin-v3/tdx-lhbxwfg"><img src="https://agentmods.dev/badge/skills/adambbhe/tdx-finance-mcp-plugin-v3/tdx-lhbxwfg/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 查询龙虎榜席位风格

Your own site · 80×15
<a href="https://agentmods.dev/skills/adambbhe/tdx-finance-mcp-plugin-v3/tdx-lhbxwfg"><img src="https://agentmods.dev/badge/skills/adambbhe/tdx-finance-mcp-plugin-v3/tdx-lhbxwfg.svg" alt="Reviewed on agentmods" width="80" height="20"></a>
Per session 245 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 2,038 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 $0.00245 $0.02038
Opus 5 $0.00122 $0.01019
Sonnet 5 $0.00049 $0.00408
Haiku 4.5 $0.00024 $0.00204

Measured 12d ago against content hash 3ef6981bb141, method: parsed. Prices are Anthropic first-party input rates as of 2026-09-12, from the pricing page.

Security

Grade A, and why

查询龙虎榜席位风格 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-lhbxwfg/SKILL.md · 151 lines

How it starts

The opening of the file, as written. The whole thing — 151 lines — stays where its author put it; the contents beside it link to each section on GitHub.

龙虎榜席位风格

Skill 分类
龙虎榜 / 资金行为 / 游资研究 / 短线交易

适用场景
用户希望基于龙虎榜数据判断席位主导结构、资金进攻或兑现特征、游资线索、次日博弈价值,或需要把这些结论写成问答、报告、复盘、专栏文章。

输出结构

  1. 查询对象与日期
  2. 龙虎榜核心事实
  3. 席位主导结构
  4. 资金行为与风格判断
  5. 结合股价位置与题材催化的解释
  6. 风险与局限
  7. 结论或写作成稿

可用工具

  • tdx_lookup_stock
    • 当用户只给股票名称、简称或别名时,先查代码与 setcode
  • tdx_api_data
    • 核心工具,用于查询龙虎榜日期和当日明细
  • tdx_quotes
    • 补当前价格、涨跌幅、换手率、盘口和成交强弱
  • tdx_kline
    • 补日线位置、趋势阶段、量价配合
  • tdx_api_data(entry="tdxf10_gg_rdtc", fixedTag="sjcd")
    • 验证是否有事件、题材、新闻催化支持 [已切换为 F10 替代方案]
  • tdx_api_data(entry="tdxf10_gg_ybpj", fixedTag="yjyg")
    • 验证公告、异动、停复牌、回购、减持等信息 [已切换为 F10 替代方案]
  • tdx_screener
    • 仅在用户想看同题材扩散、涨停梯队、市场热度时补充
  • tdx_indicator_select
    • 仅在用户需要公司属性、概念板块、产业链映射时补充

不要引用本仓库 src/ 中不存在的工具名。

核心查询规则

1. 先确认标的

  • 用户未给 6 位代码时,先用 tdx_lookup_stock
  • 后续凡是调用 tdx_quotestdx_kline,都要带正确的 setcode

2. 先查龙虎榜可用日期

tdx_api_data entry="TdxSharePCCW.tdxf10_gg_comreq" fixedTag="jglhb" code="000001"
  • 这条路由在本仓库里已映射为 dragon_tiger_dates
  • 优先读取 response.transformed.tables
  • 没给日期时,默认先看最近可查日期

3. 再查指定日期龙虎榜明细

tdx_api_data entry="TdxSharePCCW.tdxf10_gg_jyds" code="000001" fixedTag="jglhb" extra="20221129"
  • 这条路由在本仓库里已映射为 dragon_tiger_list
  • 重点读取以下表:
    • summary
    • details
    • seat_profiles
    • extra

4. 需要价格语境时再补行情

tdx_quotes code="000001" setcode="0" hasHQInfo="1" hasExtInfo="1" bspNum="5"
tdx_kline code="000001" setcode="0" period="4" wantNum="20" tqFlag="11"
  • tdx_quotes 用来确认涨跌幅、换手率、盘口和成交状态
  • tdx_kline 用来判断是低位启动、中位加速、高位分歧还是高位兑现

5. 需要催化解释时再补资讯或公告

tdx_api_data entry="tdxf10_gg_rdtc" fixedTag="sjcd" code="平安银行"
tdx_api_data entry="tdxf10_gg_ybpj" fixedTag="yjyg" code="平安银行"

数据解读顺序

  1. 先看 summary,确认信息类型编码、总买入、总卖出、净额和总成交额
  2. 再看 details,识别买一到买五、卖一到卖五的席位结构
  3. 再看 seat_profiles,读取营业部标签代码和标签名称
  4. 最后看 extra,确认交易类型、排名、买卖标签等补充字段

如果结构化结果不可用,再退回 response.data 原始字段,不要凭空改字段名。

分析框架

第一步:确认事实层

  • 查清楚是哪一天的龙虎榜,不要把不同日期混写
  • 说明是单日复盘还是结合多日连续上榜
  • 说明信息类型、净买额、总成交额和核心席位名单

Read the full file on GitHub · 151 lines

Files

What ships with it

3 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 · 151 lines · 245 tokens per session scan A 3ef6981bb141

Subscribe to this mod's changes

查询龙虎榜席位风格 is a skill published in the GitHub repository adambbhe/TDX-finance-mcp-plugin-v3 (35 stars, last pushed 2mo ago), licensed MIT. It adds 245 tokens to every session and 2,038 once invoked, about $0.0012 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.

Related

Other skills, from other repositories

hithink-finance

A routing guide for accessing Chinese A-share financial data, including prices, company reports, valuations, funds, indices, sectors, and local data storage.

HiThink-Tech/Financial-API · 93 tokens

hithink-finance-fund

A command-line guide for querying fund information, including profiles, managers, holdings, prices, returns, financial data, news, and exchange-traded fund snapshots. A command-line tool is a program controlled by typed terminal commands.

HiThink-Tech/Financial-API · 96 tokens

hithink-finance-data

A local data-management skill for the HiThink Finance command-line tool and its DuckDB database. DuckDB is a database stored in a local file.

HiThink-Tech/Financial-API · 60 tokens

hithink-finance-market

A command-line tool entry for retrieving ordinary Chinese A-share market data, including snapshots, historical price bars, trading calendars, adjustment factors, and company actions.

HiThink-Tech/Financial-API · 89 tokens

hithink-finance-special-data

A command-line tool entry for retrieving special Chinese market lists and event data, such as limit-up stocks, limit-down stocks, unusual moves, hot stocks, and Dragon-Tiger records.

HiThink-Tech/Financial-API · 82 tokens

hithink-finance-futures

A command-line data source for public futures-market information, including contracts, positions, warehouse receipts, basis, trading schedules, and price charts. Futures are agreements to buy or sell an asset at a set future date.

HiThink-Tech/Financial-API · 78 tokens