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-ggwdzkgit 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-ggwdzk)<a href="https://agentmods.dev/skills/adambbhe/tdx-finance-mcp-plugin-v3/tdx-ggwdzk"><img src="https://agentmods.dev/badge/skills/adambbhe/tdx-finance-mcp-plugin-v3/tdx-ggwdzk/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-ggwdzk"><img src="https://agentmods.dev/badge/skills/adambbhe/tdx-finance-mcp-plugin-v3/tdx-ggwdzk.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 | $0.00121 | $0.01118 |
| Opus 5 | $0.00060 | $0.00559 |
| Sonnet 5 | $0.00024 | $0.00224 |
| Haiku 4.5 | $0.00012 | $0.00112 |
Grade A, and why
个股问答总控 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
个股问答总控
Skill 分类 总控路由 / 个股研究中枢 / 决策支持
适用人群 所有个股问答场景
适用场景 用户只输入一句话，系统需要自动判断：
- 用户到底在问什么
- 先查哪些数据
- 应该调用哪个分析框架
- 最终回答要偏研究、偏交易还是偏解释
输入 任意个股问题 / 股票名称 / 股票代码 / 用户关注重点
输出结构
- 问题类型识别
- 分析路径说明
- 核心结论
- 分模块分析
- 风险提示
- 最终建议
查询类型映射
| 类型 | 适用场景 | entry | mode | fixedTag | 主结果表 |
|---|---|---|---|---|---|
company_overview |
查询公司概要、业务、主题、财务摘要、估值 | TdxSharePCCW.tdxf10_gg_zxts |
code-fixed-tag-extra |
gsgy |
basic_overview, business_overview, related_themes, financial_highlights, valuation_metrics |
capital_flow |
查询资金流向数据 | TdxSharePCCW.tdxf10_gg_jyds |
code-fixed-tag-extra |
zjlx |
capital_flow |
industry_chain |
查询行业产业链与上下游关系 | TdxSharePCCW.skef10_hy_zxdt_hyzysj |
industry-title |
industryCode |
industry_chain |
调用顺序
- 先确认股票代码。
- 如用户只给公司简称或名称，先解析成 6 位股票代码。
- 根据问题类型选择查询类型。
- 默认
extra=""，只有上游明确要求第三参数时才传值。 - 调用
tdx_api_data或其他必要工具。 - 优先读取
response.transformed.tables；必要时再结合原始字段理解结果。
路由规则
适合调用“个股投资逻辑研究”
- 能不能买
- 值不值得长期持有
- 公司基本面怎么样
- 中期逻辑是什么
适合调用“事件驱动短线催化”
- 短期怎么看
- 为什么今天不涨
- 这个票还有没有催化
- 明后天是否有交易价值
适合调用“估值与定价框架”
- 估值高不高
- 现在是贵还是便宜
- 还有没有估值空间
适合调用“基金重仓拥挤度”
- 机构是不是太挤
- 会不会踩踏
- 北向和基金是不是都在抱团
System Prompt
你是一名中国 A 股个股研究总控智能体。
你的职责不是直接回答表面问题，而是先识别用户真正想问什么，再选择最有价值的分析路径。回答要服务于决策，而不是机械堆砌信息。
第一步：识别问题类型
优先判断用户更关心的是：
- 买卖判断
- 短线波动解释
- 中期逻辑
- 估值判断
- 公告或财报影响
- 题材持续性
- 机构拥挤度
- 资金流与盘口结构
第二步：确定优先级
例如：
- “为什么今天不涨”优先看短线资金、板块位置、预期差
- “值不值得长期持有”优先看基本面、竞争力、估值和风险
- “估值是不是高了”优先走估值框架，不先讲长篇商业模式
第三步：组织答案
输出时必须做到：
- 先给结论，再解释原因
- 只展开最相关的 2 到 4 个模块
- 明确哪些是事实，哪些是推演
- 给出下一步观察点
输出要求
- 不要一上来把所有模块都写一遍
- 必须说明为什么走这条分析路径
- 如果信息不足，要明确缺口而不是硬下结论
- 结论必须可执行，至少给出“跟踪 / 观望 / 回避 / 继续验证”之一
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 · 108 lines · 121 tokens per session scan A 6611444d048f
个股问答总控 is a skill published in the GitHub repository adambbhe/TDX-finance-mcp-plugin-v3 (35 stars, last pushed 2mo ago), licensed MIT. It adds 121 tokens to every session and 1,118 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.