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-valuation-pricing-frameworkgit 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-valuation-pricing-framework)<a href="https://agentmods.dev/skills/adambbhe/tdx-finance-mcp-plugin-v3/tdx-valuation-pricing-framework"><img src="https://agentmods.dev/badge/skills/adambbhe/tdx-finance-mcp-plugin-v3/tdx-valuation-pricing-framework/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-valuation-pricing-framework"><img src="https://agentmods.dev/badge/skills/adambbhe/tdx-finance-mcp-plugin-v3/tdx-valuation-pricing-framework.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 | $0.00120 | $0.01689 |
| Opus 5 | $0.00060 | $0.00844 |
| Sonnet 5 | $0.00024 | $0.00338 |
| Haiku 4.5 | $0.00012 | $0.00169 |
Grade A, and why
估值与定价框架分析 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.
How it starts
The opening of the file, as written. The whole thing — 131 lines — stays where its author put it; the contents beside it link to each section on GitHub.
估值与定价框架
Skill 分类 估值分析 / 定价逻辑 / 投资决策
适用人群 中长线投资者、研究员、价值投资者、成长股投资者、行业分析用户
适用场景 当用户关心“这家公司应该怎么估值”“现在贵不贵”“还有没有重估空间”时，使用本技能给出结构化估值判断。
必须调用的数据接口
个股当前估值（必查）
tdx_quotes(code=股票代码, setcode=市场代码, hasProInfo="1", hasExtInfo="1", hasCwInfo="1")- 从
ProInfo提取：PE_TTM、PB、PS、EV/EBITDA - 从
ExtInfo提取：市盈率、市值、行业属性等
历史估值（必查）
使用 tdx_api_data 查询个股历史估值：
| 类型 | mode | entry | 关键参数 | 主结果表 |
|---|---|---|---|---|
PE |
code-two-extras |
TdxSharePCCW.ph_agf10_gzfx |
extraOne="3Y", extraTwo="PE" |
valuation_history_PE |
PB |
code-two-extras |
TdxSharePCCW.ph_agf10_gzfx |
extraOne="3Y", extraTwo="PB" |
valuation_history_PB |
PS |
code-two-extras |
TdxSharePCCW.ph_agf10_gzfx |
extraOne="3Y", extraTwo="PS" |
valuation_history_PS |
PCF |
code-two-extras |
TdxSharePCCW.ph_agf10_gzfx |
extraOne="3Y", extraTwo="PCF" |
valuation_history_PCF |
行业对比（建议）
tdx_indicator_select(message="股票代码 行业估值排名")- 对比行业均值、行业分位和公司相对位置
财务验证（建议）
tdx_api_data：利润表、资产负债表、现金流量表tdx_api_data(entry="tdxf10_gg_ybpj", fixedTag="yzyq")：市场一致预期、目标价、评级变化
分析框架
第一步：先判断公司属于什么类型
常见类型：
- 高成长
- 稳健成长
- 周期
- 价值
- 平台型
- 金融类
不同类型应使用不同估值框架，不要简单套单一指标。
第二步：选择估值方法
- 高成长：PE、PEG、PS、EV/EBITDA
- 稳健成长：PE、PEG
- 周期：PB、周期中枢估值、盈利拐点
- 价值：PE、PB、股息率
- 平台型：PS、用户价值、分部估值
- 金融类：PB、ROE、分红能力
第三步：判断市场当前在交易什么
估值不是静态数字，而是预期的价格。 必须回答：
- 当前股价里已经反映了什么
- 市场在押注什么变化
- 哪些变量会导致重估
- 哪些变量会导致杀估值
第四步：判断估值所处位置
至少做三个对比：
- 历史纵向：当前估值 vs 近 3 年历史分位
- 横向比较：当前估值 vs 同行业可比公司
- 业绩匹配：估值与增速、盈利质量是否匹配
第五步：识别重估和杀估值触发因素
重估常见触发：
- 业绩超预期
- 新业务放量
- 行业景气改善
- 竞争格局优化
- 治理改善
杀估值常见触发：
- 增速下滑
- 周期见顶
- 竞争恶化
- 风险偏好下降
- 政策或监管打击
输出要求
- 必须明确公司类型和估值方法
- 必须说明当前估值是否合理
- 必须指出当前价格已计入的核心预期
- 必须给出重估或杀估值的关键条件
- 不要只给一个 PE 数字就下结论
⚠️ 数据准确性规范
金融分析常见数据错误，必须规避：
| # | 常见错误 | 正确做法 |
| 8 | 成交额/市值必须逐位读数 | 看到大数字必须用计算器核实，不能凭印象估算。凡是金额类数字，输出前必须用计算器验证一次。 |
|---|---------|---------| | 1 | 成交额单位混淆 | tdx_quotes 的 Amount 单位是"元"，除以1亿得"亿元"（如 5615563780/1亿=56.16亿）。禁止把原始值当成亿元直接使用。 | | 2 | 成交量单位混淆 | Volume 单位是"手"（如 8283895手=828.39万手），Inside/Outside 同理。 | | 3 | 涨幅凭印象描述 | Lead 字段已是 %，直接使用；K线涨幅=(今收-昨收)/昨收×100%。禁止写"大概涨了多少"。 | | 4 | 把T+1数据当当日数据 | tdx_api_data 资金流向(zjlx)最新日期为上一交易日，不可描述为"今日主力净流入"。 | | 5 | 高开/涨幅模糊描述 | 必须写明：如"高开3%（开盘6.87元，昨收6.54元）"，禁止写"高开明显"。 | | 6 | 市值/股本单位错 | ZSZ 单位是"元"（/1亿）；ZGB/LTGB 单位是万股（如 357258.969万股=35.73亿股）。 | | 7 | 金融数据估算 | 禁止"大概"、"差不多"。所有数字必须计算后写出等于多少，不凭印象。必须逐位核实。 |
What ships with it
1 file 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.
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 · 131 lines · 120 tokens per session scan A 1579c52dc963
估值与定价框架分析 is a skill published in the GitHub repository adambbhe/TDX-finance-mcp-plugin-v3 (35 stars, last pushed 2mo ago), licensed MIT. It adds 120 tokens to every session and 1,689 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.
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hithink-finance-fund
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hithink-finance-data
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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
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hithink-finance-financials
A command-line tool entry for querying Chinese A-share income statements, balance sheets, cash-flow statements, and financial indicators for selected reporting periods.