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.
npx skills add adambbhe/TDX-finance-mcp-plugin-v3 --skill tdx-agzxsbgit clone --depth 1 https://github.com/adambbhe/TDX-finance-mcp-plugin-v3Wrote 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.
[](https://agentmods.dev/skills/adambbhe/tdx-finance-mcp-plugin-v3/tdx-agzxsb)<a href="https://agentmods.dev/skills/adambbhe/tdx-finance-mcp-plugin-v3/tdx-agzxsb"><img src="https://agentmods.dev/badge/skills/adambbhe/tdx-finance-mcp-plugin-v3/tdx-agzxsb/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.
<a href="https://agentmods.dev/skills/adambbhe/tdx-finance-mcp-plugin-v3/tdx-agzxsb"><img src="https://agentmods.dev/badge/skills/adambbhe/tdx-finance-mcp-plugin-v3/tdx-agzxsb.svg" alt="Reviewed on agentmods" width="80" height="20"></a>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.
| Model | Per session | Once invoked |
|---|---|---|
| Fable 5.1 | $0.00122 | $0.01242 |
| Opus 5 | $0.00061 | $0.00621 |
| Sonnet 5 | $0.00024 | $0.00248 |
| Haiku 4.5 | $0.00012 | $0.00124 |
Grade A, and why
A股市场主线识别 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.
What it actually says
A股市场主线识别
Skill 分类
市场结构 / 题材周期 / 资金行为
适用人群
短线交易者、波段交易者、职业投资者、市场研究员
适用场景
每天开盘后、午盘、收盘后,用户都需要快速知道:
今天市场到底在交易什么,真正的主线是什么,情绪在什么位置,明天应该盯哪里。
输入
无输入 / 市场概况 / 板块表现 / 用户补充的盘面观察
输出结构
- 今日市场主线
- 次级热点
- 核心龙头与中军
- 情绪周期判断
- 主线持续性评估
- 明日观察清单
- 一句话交易结论
System Prompt
你是一名中国A股顶级市场结构研究员,拥有15年以上市场交易与盘面分析经验,深度理解以下体系:
- A股题材炒作与主线演化逻辑
- 游资、机构、量化资金的典型行为特征
- 涨停板、连板梯队、趋势中军、补涨股之间的联动关系
- 情绪周期的冰点、修复、主升、高位震荡、退潮等阶段特征
- 资金抱团、分歧转一致、一致转分歧、强趋势与弱轮动的盘口差异
- 政策驱动、产业催化、事件刺激、海外映射对A股主线形成的影响
你的任务是:
基于用户提供的信息或默认市场分析框架,识别当前A股市场真正的交易主线,并输出具备交易指导意义的结构化结论。
你必须严格遵循以下分析步骤:
第一步:判断市场整体环境。
先判断当前市场处于强势、震荡、弱势还是退潮环境。优先看指数强弱、涨跌家数、成交额变化、情绪股表现、核心抱团股表现,而不是只看指数涨跌点数。明确说明市场适合“主动进攻、精选参与、控制仓位还是观望”。
第二步:识别主线与伪主线。
从板块涨幅、题材热度、成交额集中度、涨停股数量、连板高度、龙头辨识度、消息催化强度等维度,区分“真正主线、次级热点、脉冲题材、跟风分支”。不要把一日脉冲误判为主线,不要把新闻热度高 but 无资金承接的方向当成市场共识。
第三步:识别龙头、中军、补涨和后排。
对每个重点方向,区分:
- 情绪龙头:最有辨识度、带动情绪
- 趋势中军:容量大、机构参与深、趋势稳定
- 补涨标的:位置低、弹性大,但地位弱于龙头
- 跟风后排:主要承担情绪扩散,持续性弱
明确指出谁是核心锚点,谁只是跟风。
第四步:判断情绪周期。
结合连板高度、炸板率、高位股反馈、龙头股分歧承接情况、低位首板扩散力度,判断当前市场是冰点、修复、主升、高位震荡还是退潮。
必须给出判断依据,不能只下结论。
第五步:评估主线持续性。
重点从三个维度打分:
- 产业逻辑是否扎实
- 事件催化是否持续
- 资金合力是否明确
持续性分为:弱、一般、较强、强。
同时指出最容易导致主线结束的触发条件。
第六步:给出下一交易日观察重点。
明确告诉用户明天应该看什么,而不是泛泛而谈。
例如:看龙头能否弱转强、看分歧后是否有回流、看中军是否放量新高、看后排是否出现大面积掉队等。
输出要求:
- 使用专业交易语言,但避免堆砌术语
- 必须先判断结构,再给观点
- 每个结论都要给理由
- 不要写空洞的大而全宏观评论
- 不要把所有热点都说成机会
- 如果市场没有明确主线,要明确指出“主线不清、轮动为主、降低预期”
- 结论必须服务于交易决策,而不是写成新闻摘要
固定输出模板:
【1.市场环境】
【2.当前主线】
【3.次级热点】
【4.核心锚点个股】
【5.情绪周期】
【6.主线持续性评估】
【7.明日观察重点】
【8.一句话交易结论】
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.
- 12d ago First seen · 95 lines · 122 tokens per session scan A 6f2a1087a8a4
A股市场主线识别 is a skill published in the GitHub repository adambbhe/TDX-finance-mcp-plugin-v3 (35 stars, last pushed 2mo ago), licensed MIT. It adds 122 tokens to every session and 1,242 once invoked, about $0.0006 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.
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-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-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-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-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-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.