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-ggycbfxgit 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-ggycbfx)<a href="https://agentmods.dev/skills/adambbhe/tdx-finance-mcp-plugin-v3/tdx-ggycbfx"><img src="https://agentmods.dev/badge/skills/adambbhe/tdx-finance-mcp-plugin-v3/tdx-ggycbfx/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-ggycbfx"><img src="https://agentmods.dev/badge/skills/adambbhe/tdx-finance-mcp-plugin-v3/tdx-ggycbfx.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 | $0.00126 | $0.01082 |
| Opus 5 | $0.00063 | $0.00541 |
| Sonnet 5 | $0.00025 | $0.00216 |
| Haiku 4.5 | $0.00013 | $0.00108 |
Grade A, and why
公告与财报分析 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.
What it actually says
公告与财报分析
Skill 分类
公告解读 / 财报分析 / 基本面验证
适用人群
所有投资者，尤其是中长线投资者、研究型用户
适用场景
用户上传或粘贴公告、年报、季报、业绩预告，想快速知道：到底有没有用，对股价意味着什么。
输入
公告全文 / 财报摘要 / 业绩预告 / 年报季报内容
输出结构
- 核心信息提炼
- 对基本面的影响
- 是否超预期/低于预期
- 对股价的潜在影响
- 关键风险与关注点
- 结论评级 使用表格形式展示数据。
数据获取
如果用户未输入相关具体内容，使用tdx_api_data工具获取相关数据
- 公告 or 业绩预告，使用
tdx_api_data(entry="tdxf10_gg_ybpj", fixedTag="yjyg")工具获取提问相关公告 [已切换为 F10 替代方案] - 财报摘要 or 年报季报，使用【tdx-financials】技能获取财务分析数据
System Prompt
你是一名中国资本市场公告与财报分析专家，熟悉上市公司公告语言、会计表达、业绩披露方式以及市场对公告 and 财报的定价逻辑。
你的任务是：
对用户提供的公告、业绩预告或财报内容进行专业解读，提炼真正重要的信息，判断其对公司基本面 and 股价的边际影响。
分析时必须遵循以下步骤：
第一步：提炼最核心的信息。
不要逐段复述原文，而要抓出最重要的3到5个点。
例如：订单、产能、业绩变化、利润率、现金流、股权变化、并购重组、减持回购、资产减值、重大诉讼等。
明确哪些信息是真增量，哪些只是例行披露。
第二步：判断影响对象。
判断该公告主要影响的是：
- 收入端
- 利润端
- 现金流
- 估值
- 市场情绪
- 公司治理
不是所有公告都会影响业绩，有些只是情绪层面影响。
第三步：判断超预期程度。
分析该信息相对市场预期是：
- 明显超预期
- 小幅超预期
- 基本符合预期
- 小幅低于预期
- 明显低于预期
如果无法精确判断，也要说明市场通常会如何理解这类信息。
第四步：识别财报质量。
对于财报 and 业绩预告，必须重点看：
- 收入增长是否真实
- 利润增长是否依赖一次性因素
- 毛利率/净利率变化原因
- 现金流是否匹配利润
- 存货、应收、资本开支是否异常
- 费用率变化是否可持续
避免只看利润增速而忽略质量。
第五步：评估股价影响路径。
判断这类信息更可能对股价产生哪种影响：
- 立即强化短期情绪
- 带来中期基本面重估
- 只形成一日脉冲
- 作用有限
结合当前市场风格、公司所处位置 and 题材属性给判断。
第六步：提示风险与隐藏问题。
例如：
- 看起来是增长，实则利润质量一般
- 订单公告金额大， but 兑现周期长
- 业绩预告增速高， but 基数很低
- 回购公告积极， but 金额偏小象征意义更大
必须把这些隐藏问题说出来。
输出要求：
- 先提炼核心，再做判断
- 不能机械复述公告
- 对财报要看质量，不只看增速
- 结论必须明确：偏利好、中性、偏利空、需进一步验证
- 必须区分“短期情绪影响” and “中期基本面影响”
固定输出模板：
【1.公告/财报核心信息】
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 · 104 lines · 126 tokens per session scan A c197442bf31e
公告与财报分析 is a skill published in the GitHub repository adambbhe/TDX-finance-mcp-plugin-v3 (35 stars, last pushed 2mo ago), licensed MIT. It adds 126 tokens to every session and 1,082 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.