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-zzjdysyfxgit 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-zzjdysyfx)<a href="https://agentmods.dev/skills/adambbhe/tdx-finance-mcp-plugin-v3/tdx-zzjdysyfx"><img src="https://agentmods.dev/badge/skills/adambbhe/tdx-finance-mcp-plugin-v3/tdx-zzjdysyfx/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-zzjdysyfx"><img src="https://agentmods.dev/badge/skills/adambbhe/tdx-finance-mcp-plugin-v3/tdx-zzjdysyfx.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 | $0.00248 | $0.05443 |
| Opus 5 | $0.00124 | $0.02721 |
| Sonnet 5 | $0.00050 | $0.01089 |
| Haiku 4.5 | $0.00025 | $0.00544 |
Grade A, and why
政策解读与受益分析 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 — 456 lines — stays where its author put it; the contents beside it link to each section on GitHub.
政策解读受益映射
Skill 分类
政策研究 / 主题投资 / 事件驱动 / 产业映射
适用人群
主题投资者、行业研究员、政策敏感型投资者、短中期交易用户
适用场景
用户看到政策文件、会议表述、产业扶持、监管变化后,最关心的是: 政策含金量有多高,是真增量还是旧话重提,受益链条如何传导,哪些标的是核心受益方,哪些只是题材跟风。
输入
政策全文 / 政策摘要 / 会议纪要 / 监管文件 / 用户关注方向
调用tool
web_search tdx_api_data(entry="tdxf10_gg_rdtc", fixedTag="sjcd") tdx_api_data(entry="tdxf10_gg_ybpj", fixedTag="yjyg")
信息获取策略(重要)
🎯 搜索优先级与时间范围
第一步:精准搜索(3个月内)
- 使用具体文件名或核心关键词搜索
- 搜索词格式:
"主题词" + "文件类型/关键词"- 示例:
"低空经济" + "标准体系建设指南" - 示例:
"低空经济" + "建设指南" - 示例:
"低空经济" + "十部门"
- 示例:
- 避免使用过于宽泛的关键词如"政策""最新""2026年"
第二步:时间范围递进策略
优先级1:最近3个月(当前时间 ± 3个月)
优先级2:最近6个月
优先级3:最近1年
优先级4:往前扩展到2年
第三步:多工具组合使用
-
tdx_api_data(entry="tdxf10_gg_ybpj", fixedTag="yjyg"):查找官方政策文件、公告、业绩预告(权威性最高)[已切换为 F10 替代方案]
- 搜索词:
"主题词" + "具体文件名" - 搜索词:
"主题词" + "发布" + "年份/月份"
- 搜索词:
-
tdx_api_data(entry="tdxf10_gg_rdtc", fixedTag="sjcd"):查找政策解读、会议报道、重大事件(时效性最强)[已切换为 F10 替代方案]
- 搜索词:
"主题词" + "会议" - 搜索词:
"主题词" + "重大事件" - 搜索词:
"主题词" + "政策梳理" - 搜索词:
"部门名称" + "主题词" + "2026"
- 搜索词:
-
web_search:补充搜索,查找综合报道和深度分析
- 当以上两个工具结果不足时使用
- 搜索词:
"主题词" + "最新政策" + "2026"
📅 相关会议识别规则
高层级会议(必须包含):
- 中央经济工作会议(每年12月)
- 全国两会(每年3月)
- 党的中央全会(不定期)
- 国务院常务会议(每周)
- 部委新闻发布会(不定期)
行业会议(选择性包含):
- 产业发展峰会
- 行业博览会
- 专题研讨会
搜索会议关键词:
"主题词" + "会议"
"主题词" + "座谈会"
"主题词" + "发布会"
"主题词" + "峰会"
"部门名称" + "会议" + "主题词"
🔍 搜索失败时的回退策略
如果3个月内无结果:
- 扩展到6个月,使用相同关键词
- 如果仍无结果,扩展到1年
- 添加时间限定词重新搜索:
"主题词" + "2025年12月" "主题词" + "第四季度" "主题词" + "下半年"
如果搜索结果过多且相关性低:
-
添加文件类型限定:
"主题词" + "指导意见" "主题词" + "实施方案" "主题词" + "行动计划" "主题词" + "建设指南" -
添加部门限定:
"发改委" + "主题词" "工信部" + "主题词" "国务院" + "主题词"
✅ 搜索结果验证标准
找到政策文件后,必须确认:
- 发布时间:是否在合理时间范围内(优先3个月内),并明确标注距离当前的时间跨度
- 发布机构:是否为权威部门(国务院、各部委、地方政府)
- 文件性质:是否为正式文件(非新闻报道、非评论文章)
- 增量内容:是否有新提法、新措施、新目标
时效性说明规范:
- 必须准确计算时间跨度:从政策发布日期到当前日期(搜索日期)的实际月数
- 如果找到的政策不在3个月内,必须在搜索记录中明确说明实际时间跨度
- 例如:"找到《XXX方案》(2024-07-05),距离当前21个月,不在3个月范围内"
- 如果3个月内无新政策,应说明:"3个月内无重大新政策,最新政策为X个月前的《XXX》"
- 禁止错误归类:不得将6个月前或更早的政策归入"3个月内"或"6个月内"
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 · 456 lines · 248 tokens per session scan A 12da95f349e7
政策解读与受益分析 is a skill published in the GitHub repository adambbhe/TDX-finance-mcp-plugin-v3 (35 stars, last pushed 2mo ago), licensed MIT. It adds 248 tokens to every session and 5,443 once invoked, about $0.0012 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.