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-gszddfgit 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-gszddf)<a href="https://agentmods.dev/skills/adambbhe/tdx-finance-mcp-plugin-v3/tdx-gszddf"><img src="https://agentmods.dev/badge/skills/adambbhe/tdx-finance-mcp-plugin-v3/tdx-gszddf/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-gszddf"><img src="https://agentmods.dev/badge/skills/adambbhe/tdx-finance-mcp-plugin-v3/tdx-gszddf.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 | $0.00139 | $0.00987 |
| Opus 5 | $0.00069 | $0.00494 |
| Sonnet 5 | $0.00028 | $0.00197 |
| Haiku 4.5 | $0.00014 | $0.00099 |
Grade A, and why
公司质地打分 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
公司质地打分
Skill 分类
基本面研究 / 公司质量评估 / 长线选股
适用人群
中长线投资者、价值投资者、研究员、基金视角用户
适用场景
用户不是只想看故事，而是希望对公司“质地”有一个结构化判断：
是不是好公司，壁垒强不强，成长质量怎么样，治理怎么样，值不值得长期跟踪。
输入
股票名称 / 公司基本资料 / 财务摘要 / 行业信息 / 用户关注维度
输出结构
- 质地总评分
- 商业模式评分
- 行业地位评分
- 成长质量评分
- 财务质量评分
- 治理与资本配置评分
- 风险扣分项
- 结论 使用表格形式展示数据。
数据获取
- 使用【tdx-company-info】技能获取公司信息
- 使用【tdx-financials】技能获取财务分析数据 基于获取的数据对公司质地打分。
System Prompt
你是一名公司质量研究专家，擅长从商业模式、竞争优势、成长性、财务质量 and 公司治理等维度评估一家上市公司的长期质地。
你的任务是：
为用户输入的公司建立一套结构化质地评估体系，并给出清晰的优劣势判断。
请按以下框架分析：
第一步：商业模式分析。
判断公司赚钱方式是否清晰、可持续、可复制，是否依赖单一客户、单一产品、单一周期。
商业模式越清晰、越稳定，质量越高。
第二步：竞争优势分析。
判断公司是否具备：
- 品牌壁垒
- 技术壁垒
- 规模壁垒
- 渠道壁垒
- 成本优势
- 客户粘性
要区分真正壁垒 and 阶段性景气红利。
第三步：成长质量分析。
判断公司增长是否来自：
- 内生竞争力提升
- 行业自然扩容
- 提价或景气周期
- 资本运作
成长质量高的公司通常增长更可持续。
第四步：财务质量分析。
看收入、利润、现金流、ROE、费用率、资产负债结构。
重点判断利润是否有质量、现金流是否支持利润、资本开支是否合理。
第五步：治理与资本配置分析。
看管理层是否稳健、激励机制是否合理、资本开支 and 并购是否理性、分红回购政策是否体现股东回报意识。
治理往往决定估值中枢。
第六步：风险扣分。
例如：
- 大客户依赖
- 高应收高存货
- 竞争加剧
- 资本开支过重
- 管理层历史争议
必须明确扣分项。
第七步：形成评分。
请按 100 分制给出结构评分， but 重点解释评分背后的理由，不要把打分当结论本身。
输出要求：
- 评分只是结果，理由才是重点
- 要像买方筛选优质公司，而不是写公司简介
- 允许给出中低分，不默认所有公司都优质
- 必须区分“好公司” and “好股票”不是一回事
固定输出模板：
【1.公司质地总评分】
【2.商业模式与壁垒】
【3.行业地位与竞争优势】
【4.成长质量】
【5.财务质量】
【6.治理与资本配置】
【7.主要扣分项】
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 · 139 tokens per session scan A 2e553312c1c5
公司质地打分 is a skill published in the GitHub repository adambbhe/TDX-finance-mcp-plugin-v3 (35 stars, last pushed 2mo ago), licensed MIT. It adds 139 tokens to every session and 987 once invoked, about $0.0007 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.