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-merger-modelgit 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-merger-model)<a href="https://agentmods.dev/skills/jwangkun/claude-for-financial-services-cn/china-merger-model"><img src="https://agentmods.dev/badge/skills/jwangkun/claude-for-financial-services-cn/china-merger-model/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-merger-model"><img src="https://agentmods.dev/badge/skills/jwangkun/claude-for-financial-services-cn/china-merger-model.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 | $0.00081 | $0.01985 |
| Opus 5 | $0.00041 | $0.00992 |
| Sonnet 5 | $0.00016 | $0.00397 |
| Haiku 4.5 | $0.00008 | $0.00198 |
Grade A, and why
china-merger-model 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 13d 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 — 227 lines — stays where its author put it; the contents beside it link to each section on GitHub.
china-merger-model
Purpose
Build A股并购分析模型, analyzing accretion/dilution, synergy capture, and purchase price allocation for M&A transactions involving Chinese companies.
Key Differences from US Merger Models
| Parameter | US M&A Model | China M&A Model |
|---|---|---|
| Accounting | US GAAP / IFRS | CAS (企业会计准则) |
| Tax rate | 21% | 25% (or 15% for 高新技术企业) |
| Currency | USD | CNY |
| Goodwill | Indefinite life | Amortized or tested under CAS |
| Stamp duty | Negligible | 0.05% on equity transfer |
| VAT on asset deals | Varies | 6% or 3% depending on 纳税人类型 |
| Deal structure | Stock/cash common | 股权/资产/吸收合并 |
| Premium | 20-30% typical | 20-40% typical for China |
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_acquirer, "income") → Acquirer P&L
get_financials(ticker_target, "income") → Target P&L
get_quote(ticker_acquirer) → Acquirer valuation
get_quote(ticker_target) → Target valuation
get_industry_stocks(industry="...") → Peer comparables
Secondary Sources
- 巨潮公告 — transaction announcements (收购公告)
- 交易所 — deal-related filings
- 评估报告 — target valuation reports
- Wind / Choice — comparable transaction multiples
Workflow
Step 1: Transaction Setup
Transaction structure (China-specific):
| Structure | Description | Tax Impact |
|---|---|---|
| 股权收购 | Acquirer buys target equity | 印花税 0.05% |
| 资产收购 | Acquirer buys target assets | 增值税 + 契税 |
| 吸收合并 | Target merged into acquirer | 印花税 on asset transfer |
| 借壳上市 | Reverse merger / backdoor listing | Complex, case-specific |
Key terms:
| Term | Chinese | Notes |
|---|---|---|
| Purchase price | 交易对价 | Typically includes earnout |
| Control premium | 控股权溢价 | 20-40% typical in China |
| Earnout | 业绩承诺/对赌 | Common in China M&A |
| Lock-up | 锁定期 | 12-36 months for sellers |
| Stamp tax | 印花税 | 0.05% of deal value |
| VAT | 增值税 | 6% on asset deals |
| Deed tax | 契税 | 3-5% on real estate/assets |
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.
- 13d ago First seen · 227 lines · 81 tokens per session scan A f4041884b489
china-merger-model 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 81 tokens to every session and 1,985 once invoked, about $0.0004 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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