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 jwangkun/claude-for-financial-services-cn --skill wind-mcpgit clone --depth 1 https://github.com/jwangkun/claude-for-financial-services-cnWrote 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/jwangkun/claude-for-financial-services-cn/wind-mcp)<a href="https://agentmods.dev/skills/jwangkun/claude-for-financial-services-cn/wind-mcp"><img src="https://agentmods.dev/badge/skills/jwangkun/claude-for-financial-services-cn/wind-mcp/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/jwangkun/claude-for-financial-services-cn/wind-mcp"><img src="https://agentmods.dev/badge/skills/jwangkun/claude-for-financial-services-cn/wind-mcp.svg" alt="Reviewed on agentmods" width="80" height="20"></a>- NVIDIA SkillSpector pass
SkillSpector: 1 finding, up to low
These are SkillSpector’s own severities. On a checked sample its high-severity flags on skills were ~96% false positives — a documented command, a public API, a “never do X” rule — so we show them as a caution to read, not a verdict. Why →
- low MCP Rug Pull · line 137 pip install without ==version installs the latest release, which could include malicious changes.Fix: Pin the version: pip install package==1.2.3
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 | $0.00044 | $0.02286 |
| Opus 5 | $0.00022 | $0.01143 |
| Sonnet 5 | $0.00009 | $0.00457 |
| Haiku 4.5 | $0.00004 | $0.00229 |
Grade A, and why
wind-mcp 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 — 154 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Wind MCP — 万得金融数据技能
元数据
| 项目 | 内容 |
|---|---|
| MCP 服务器 | wind-mcp |
| 工具总数 | 44 |
| 服务域 | 8 |
| 传输协议 | stdio (本地) / SSE (部署) |
| API 密钥 | WIND_API_KEY 环境变量 (以 ak_ 开头) |
| 密钥申请 | https://aifinmarket.wind.com.cn/#/home |
| 认证方式 | Authorization: Bearer {key} |
| 工具前缀 | wind_* (MCP 调用: mcp__wind__*) |
8 大服务域
| # | server_type | 工具数 | 覆盖 |
|---|---|---|---|
| 1 | stock_data |
10 | A 股：搜索/行情/K线/分钟/档案/财务/股东/事件/技术/风险 |
| 2 | global_stock_data |
10 | 港股/美股：搜索/行情/K线/分钟/档案/财务/股东/事件/技术/风险 |
| 3 | fund_data |
10 | 基金/ETF/LOF：搜索/行情/K线/分钟/档案/财务/持仓/业绩/持有人/公司 |
| 4 | index_data |
6 | 指数/板块：行情/K线/分钟/档案/基本面/技术 |
| 5 | bond_data |
4 | 债券：档案/主体/市场数据/主体财务 |
| 6 | financial_docs |
2 | 文档：公司公告(年报/季报/招股书)、财经新闻 |
| 7 | economic_data |
1 | 宏观/行业 EDB 指标 |
| 8 | analytics_data |
1 | 通用结构化取数兜底 |
调用规则
参数门禁
- 日期格式：必须为
yyyyMMdd（含前导零，不含短横线） - windcode：仅接受单个标的字符串，不支持数组或逗号拼接
- indexes：字段名必须逐字复制 indicators.md 中的值
- question：不含空格（中文自然语言）
路由优先
- 公告/年报/季报/招股书 →
financial_docs.get_company_announcements - 新闻/媒体/快讯/报告 →
financial_docs.get_financial_news - 宏观/行业 EDB 指标 →
economic_data.get_economic_data - A 股选股（无具体股票）→
stock_data.search_stocks - 港股/美股选股（无具体股票）→
global_stock_data.search_global_stocks - 基金筛选（无具体基金）→
fund_data.search_funds - 行情/K 线/分钟线 → 对应市场 kline/quote/price_indicators
- 财务/股东/事件/技术/风险 → 对应市场 NL 工具
- 兜底 →
analytics_data.get_financial_data
完整工具清单
stock_data — A 股 (10 tools)
| MCP 工具名 | Wind 工具名 | 类型 | 参数 |
|---|---|---|---|
wind_search_stocks |
search_stocks |
NL 查询 | question, lang |
wind_get_stock_price_indicators |
get_stock_price_indicators |
快照 | windcode, indexes |
wind_get_stock_kline |
get_stock_kline |
K 线 | windcode, begin_date, end_date, period, aftime |
wind_get_stock_quote |
get_stock_quote |
分钟 | windcode, begin, end |
wind_get_stock_basicinfo |
get_stock_basicinfo |
NL 查询 | question, lang |
wind_get_stock_fundamentals |
get_stock_fundamentals |
NL 查询 | question, lang |
wind_get_stock_equity_holders |
get_stock_equity_holders |
NL 查询 | question, lang |
wind_get_stock_events |
get_stock_events |
NL 查询 | question, lang |
wind_get_stock_technicals |
get_stock_technicals |
NL 查询 | question, lang |
wind_get_risk_metrics |
get_risk_metrics |
NL 查询 | question, lang |
What ships with it
7 files 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 · 154 lines · 44 tokens per session scan A cf50b0b1d517
wind-mcp is a skill published in the GitHub repository jwangkun/claude-for-financial-services-cn (744 stars, last pushed 3mo ago), licensed Apache-2.0. It adds 44 tokens to every session and 2,286 once invoked, about $0.0002 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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twitter-reader
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furusato
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reading-receipt
An image-reading workflow for extracting structured information from receipts, invoices, and hometown-tax donation certificates. It can first extract text from PDFs and otherwise read their images.