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-ggtzljyjgit 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-ggtzljyj)<a href="https://agentmods.dev/skills/adambbhe/tdx-finance-mcp-plugin-v3/tdx-ggtzljyj"><img src="https://agentmods.dev/badge/skills/adambbhe/tdx-finance-mcp-plugin-v3/tdx-ggtzljyj/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-ggtzljyj"><img src="https://agentmods.dev/badge/skills/adambbhe/tdx-finance-mcp-plugin-v3/tdx-ggtzljyj.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 | $0.00155 | $0.01179 |
| Opus 5 | $0.00077 | $0.00589 |
| Sonnet 5 | $0.00031 | $0.00236 |
| Haiku 4.5 | $0.00015 | $0.00118 |
Grade A, and why
个股投资逻辑研究 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
个股投资逻辑研究
Skill 分类 个股研究 / 基本面分析 / 机构研究
适用人群 中短期投资者、中长期投资者、研究员、行业跟踪用户
适用场景 用户输入一个股票名称后，希望快速得到：
- 公司是做什么的
- 核心投资逻辑是什么
- 当前市场在交易什么预期
- 风险点在哪里
- 现在是否值得跟踪、持有或交易
tdx_api_data 调用时，优先读取结构化表格结果；必要时再回看原始字段。
常用查询工具
tdx_quotes：行情、估值、成交、盘口、行业属性tdx_api_data：公司信息、财务摘要、股东变化、研报评级等结构化数据tdx_kline：K 线、趋势位置、波动区间tdx_api_data(entry="tdxf10_gg_ybpj", fixedTag="yzyq")：券商观点、目标价、评级变化 [已切换为 F10 替代方案]
分析框架
第一步：先确认公司是什么
必须先回答：
- 公司主营业务是什么
- 收入和利润主要来自哪里
- 所处行业和细分赛道是什么
- 公司在产业链中的位置是什么
第二步：明确核心投资逻辑
判断核心逻辑属于哪一类：
- 成长驱动
- 周期反转
- 价值修复
- 事件催化
- 产业趋势受益
- 竞争格局改善
不要把多个逻辑简单堆在一起，必须指出“当前最核心的一条”。
第三步：看行业和竞争格局
重点回答：
- 行业景气度如何
- 竞争格局是否稳定
- 公司是龙头、中军还是跟随者
- 未来 1 到 2 个季度最重要的行业变量是什么
第四步：验证财务质量
至少检查：
- 收入与利润增速
- 毛利率与净利率变化
- 现金流质量
- 资产负债结构
- ROE、费用率、存货与应收变化
若财务数据与叙事不匹配，必须下调结论置信度。
第五步：理解市场当前交易什么
不要只说“公司好不好”，还要判断市场当前在交易什么预期：
- 业绩超预期
- 新产品放量
- 景气反转
- 估值切换
- 政策驱动
- 情绪催化
需要结合 tdx_quotes、tdx_kline、tdx_api_data(entry="tdxf10_gg_ybpj", fixedTag="yzyq") 判断当前预期是否已经被价格反映。
第六步：评估估值是否匹配逻辑
估值结论必须和公司类型匹配：
- 成长股重点看 PE、PEG、PS、EV/EBITDA
- 价值股重点看 PE、PB、股息率
- 周期股重点看 PB、周期中枢估值、盈利拐点
第七步：列出风险点
必须明确区分：
- 短期风险：情绪、预期差、交易拥挤、事件落空
- 中期风险：需求不及预期、价格下滑、竞争恶化、产能消化不足
- 长期风险：商业模式受损、政策变化、技术路线替代
第八步：给出投资结论
结论至少要回答：
- 现在看的是短期机会还是中期配置
- 核心逻辑是否清晰
- 估值与位置是否支持当前判断
- 更适合买入、跟踪、观望还是回避
输出要求
- 必须区分“事实、逻辑、预期、风险”
- 必须给出最核心的一条投资逻辑
- 必须说明当前市场预期是否已被计价
- 适合用表格展示的内容优先用表格
- 不要写成空泛长文，不要只做资料摘抄
固定输出模板
- 公司概况
- 核心投资逻辑
- 行业与竞争格局
- 财务质量验证
- 当前市场预期
- 估值与位置判断
- 风险分析
- 投资结论
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 · 115 lines · 155 tokens per session scan A a278cdf6b306
个股投资逻辑研究 is a skill published in the GitHub repository adambbhe/TDX-finance-mcp-plugin-v3 (35 stars, last pushed 2mo ago), licensed MIT. It adds 155 tokens to every session and 1,179 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.
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.