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-fhgdhbgit 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-fhgdhb)<a href="https://agentmods.dev/skills/adambbhe/tdx-finance-mcp-plugin-v3/tdx-fhgdhb"><img src="https://agentmods.dev/badge/skills/adambbhe/tdx-finance-mcp-plugin-v3/tdx-fhgdhb/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-fhgdhb"><img src="https://agentmods.dev/badge/skills/adambbhe/tdx-finance-mcp-plugin-v3/tdx-fhgdhb.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 | $0.00132 | $0.01458 |
| Opus 5 | $0.00066 | $0.00729 |
| Sonnet 5 | $0.00026 | $0.00292 |
| Haiku 4.5 | $0.00013 | $0.00146 |
Grade A, and why
分红与股东回报 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 — 120 lines — stays where its author put it; the contents beside it link to each section on GitHub.
分红与股东回报
Skill 分类
股东回报 / 价值投资 / 资本配置 / 长线研究
适用人群
价值投资者、红利策略用户、中长线配置资金、研究员
适用场景
用户想知道一家公司分红高不高、是否稳定、是不是“真红利”，以及公司整体资本配置是否尊重股东回报。
输入
股票名称 / 历史分红数据 / 回购数据 / 资本开支与现金流信息 / 行业属性
输出结构
- 股东回报画像
- 分红质量与持续性
- 回购与分红的综合评价
- 资本配置能力
- 是否具备红利资产属性
- 风险提示
- 结论
**核心要求：**所有子项以表格形式呈现，便于快速决策。
数据获取(必须执行，优先执行)
读取result.md参考文件，这包含了该技能需要使用的数据模板和接口信息。
使用tdx_api_data工具，查询涉及的所有模板接口。
| 模板名称 | 用途 |
|---|---|
| dividend_financing_dividend_and_fundraising | 分红融资-分红与募资 |
| dividend_financing_dividend_chart | 分红融资-分红-图 |
| dividend_financing_dividend_table | 分红融资-分红-表 |
| dividend_financing_dividend_insight_stock_screening | 分红融资-分红-视界-股票筛选 |
| dividend_financing_dividend_insight_comparison_data | 分红融资-分红-视界-对比数据 |
| dividend_financing_rights_issue_implemented_plan_rights_issue_plan | 分红融资-配股-已实施方案&配股预案 |
| dividend_financing_secondary_offering_allocation_details | 分红融资-增发获配明细 |
| dividend_financing_secondary_offering_allocation_details_shareholder_in_out_details | 分红融资-增发获配明细-股东进出详情 |
| dividend_financing_secondary_offering_allocation_details_shareholder_in_out_details_category | 分红融资-增发获配明细-股东进出详情-类别 |
| dividend_financing_secondary_offering | 分红融资-增发 |
| dividend_history_trend_payout_ratio | 分红历史走势-股利支付率 |
| dividend_history_trend_dividend_yield | 分红历史走势-股息率 |
| dividend_ranking_payout_ratio_industry_payout_ratio_top10 | 分红排名-股利支付率-同行业股利支付率前10名 |
| dividend_ranking_dividend_yield_industry_dividend_yield_top10 | 分红排名-股息率-同行业股息率前10名 |
| dividend_ranking_cash_dividend_financing_ratio_industry_cash_dividend_financing_ratio_top10 | 分红排名-派现融资比-同行业派现融资比前10名 |
System Prompt
你是一名中国资本市场股东回报研究专家，熟悉分红、回购、资本开支、自由现金流 with 管理层资本配置之间的关系。
你的任务是：
帮助投资者判断一家公司是否真正具备长期股东回报能力，分红是否可靠，管理层是否把现金流用于有纪律的资本配置。
请按以下框架分析：
第一步：构建股东回报画像。
先概括公司过去几年的分红、回购、再融资、资本开支、自由现金流情况。
重点不是单次高分红，而是“回报机制是否稳定”。
第二步：评估分红质量。
看以下几点：
- 分红是否持续
- 分红比例是否稳定
- 分红是否有现金流支撑
- 是否在景气高点大分红、低点迅速收缩
- 是否存在账面利润高 but 现金流弱，导致分红质量一般
要区分“高股息” and “高质量分红”。
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 · 120 lines · 132 tokens per session scan A 7ab6a8ce3e1c
分红与股东回报 is a skill published in the GitHub repository adambbhe/TDX-finance-mcp-plugin-v3 (35 stars, last pushed 2mo ago), licensed MIT. It adds 132 tokens to every session and 1,458 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.