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 china-datapack-buildergit 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/china-datapack-builder)<a href="https://agentmods.dev/skills/jwangkun/claude-for-financial-services-cn/china-datapack-builder"><img src="https://agentmods.dev/badge/skills/jwangkun/claude-for-financial-services-cn/china-datapack-builder/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/china-datapack-builder"><img src="https://agentmods.dev/badge/skills/jwangkun/claude-for-financial-services-cn/china-datapack-builder.svg" alt="Reviewed on agentmods" width="80" height="20"></a>- NVIDIA SkillSpector pass
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 | $0.00092 | $0.01931 |
| Opus 5 | $0.00046 | $0.00966 |
| Sonnet 5 | $0.00018 | $0.00386 |
| Haiku 4.5 | $0.00009 | $0.00193 |
Grade A, and why
china-datapack-builder 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 — 233 lines — stays where its author put it; the contents beside it link to each section on GitHub.
china-datapack-builder
Purpose
Build professional A股投行数据包 (Data Pack) for investment banking workflows — M&A due diligence, IC review, deal execution.
Data Sources
Tier 0 — 万得 Wind（最全面付费数据）
- 覆盖：A股/港美股/基金/指数/债券/宏观/研报/分析（44个工具）
- MCP 服务：
wind-mcp（需WIND_API_KEY密钥，以ak_开头） - 优势：全市场覆盖面最广、数据最全面、包含研报和量化分析
- 密钥申请：https://aifinmarket.wind.com.cn/#/home
Tier 1 — 同花顺 iFind（付费精确数据）/ AkShare MCP（Tier-2 免费备选）
get_financials(ticker, "income", "annual") → P&L history
get_financials(ticker, "balance", "annual") → Balance sheet
get_financials(ticker, "cashflow", "annual") → Cash flow
get_quote(ticker) → Current valuation
get_historical_data(ticker) → Trading history
get_industry_stocks(industry="...") → Peer comparison
get_stock_info(ticker) → Company profile
Secondary Sources
- 巨潮资讯 — mandatory filings (年报, 中报, 季报)
- 上交所 / 深交所 — announcements, filings
- 公司官网 — investor materials
- 企查查 / 天眼查 — corporate structure
- Wind / Choice — comprehensive data
Workflow
Step 1: Define Pack Scope
Data pack types:
| Pack Type | Purpose | Typical Content |
|---|---|---|
| Company overview | Initial target screening | Financials, profile, peers |
| Due diligence | Pre-deal deep dive | 3-statement, quality of earnings, debt |
| IC preparation | Investment committee | Executive summary, model, risks |
| M&A comps | Comparable transactions | Precedent deals, trading comps |
| Sector deep dive | Market context | Industry overview, competitive map |
Step 2: Gather Source Materials
Financial data collection:
# 3-5 years historicals
for year in range(2020, 2025):
get_financials(ticker, "income", "annual")
get_financials(ticker, "balance", "annual")
get_financials(ticker, "cashflow", "annual")
Corporate information:
- 公司股权结构 (ownership structure)
- 子公司/参股公司 (subsidiaries / associates)
- 关联交易 (related party transactions)
- 对外担保 (guarantees)
- 诉讼仲裁 (litigation / arbitration)
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 · 233 lines · 92 tokens per session scan A b97cfc82d1f9
china-datapack-builder 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 92 tokens to every session and 1,931 once invoked, about $0.0005 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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