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-buyer-listgit 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-buyer-list)<a href="https://agentmods.dev/skills/jwangkun/claude-for-financial-services-cn/china-buyer-list"><img src="https://agentmods.dev/badge/skills/jwangkun/claude-for-financial-services-cn/china-buyer-list/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-buyer-list"><img src="https://agentmods.dev/badge/skills/jwangkun/claude-for-financial-services-cn/china-buyer-list.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 | $0.00083 | $0.01761 |
| Opus 5 | $0.00042 | $0.00881 |
| Sonnet 5 | $0.00017 | $0.00352 |
| Haiku 4.5 | $0.00008 | $0.00176 |
Grade A, and why
china-buyer-list 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 — 199 lines — stays where its author put it; the contents beside it link to each section on GitHub.
china-buyer-list
Purpose
Build A股潜在收购方名单, identifying both strategic and financial buyers for a sell-side M&A mandate.
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_industry_stocks(industry="...") → Industry peer list
get_quote(ticker) → Valuation for comparable analysis
get_financials(ticker, "income") → Revenue for size comparison
Secondary Sources
- 巨潮公告 — M&A history
- Wind / Choice — transaction database
- 券商研报 — sector M&A analysis
- 企查查 / 天眼查 — corporate structure, related entities
Workflow
Step 1: Define Target Profile
Target characteristics:
- Industry / sector
- Revenue size
- Geography
- Growth profile
- Ownership structure (listed / unlisted, controlling shareholder)
Step 2: Build Strategic Buyer Universe
Strategic buyer categories:
| Category | Rationale | Examples |
|---|---|---|
| 同业龙头 (Industry peers) | Horizontal integration, market share | 白酒: 头部酒企 |
| 上下游整合 (Vertical integration) | Supply chain control | 车企 → 电池厂 |
| 多元化集团 (Conglomerates) | Diversification | 华润, 招商局 |
| 国企整合 (SOE consolidation) | Policy-driven consolidation | 央企/国企 |
| 民企扩张 (Private expansion) | Growth through M&A | 美的, 海尔 |
For each potential strategic buyer:
- Strategic rationale (why would they buy?)
- Fit assessment (complementarity, synergies)
- Financial capacity (cash, debt capacity)
- Historical M&A activity
- Regulatory approval likelihood
Step 3: Build Financial Sponsor Universe
Financial buyer categories:
| Category | Description | Typical China Players |
|---|---|---|
| 私募股权 (PE) | Traditional buyout funds | 高瓴, 红杉, 鼎晖, 中信产业基金 |
| 产业基金 (Industry funds) | Sector-specific | 国家集成电路产业投资基金 |
| 并购基金 (Buyout funds) | A-share focused | 中金, 中信, 华泰联合 |
| 国资平台 (SOE investment arms) | Policy-driven | 地方国资, 国投 |
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 · 199 lines · 83 tokens per session scan A b714e45a9421
china-buyer-list 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 83 tokens to every session and 1,761 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.
Other skills, from other repositories
sector-rotation
An analysis framework for comparing industries in the Chinese A-share stock market, using business conditions, price momentum, valuation, and money flows. It produces rankings and higher- or lower-allocation suggestions.
strategy-pivot-designer
Detect backtest iteration stagnation and generate structurally different strategy pivot proposals when parameter tuning reaches a local optimum.
twitter-reader
Read Twitter/X for financial research using opencli (read-only). Use this skill whenever the user wants to read their Twitter feed, search for financial tweets, view bookmarks, look up user profiles, or gather market sentiment from Twitter/X. Triggers include: "check my feed", "search Twitter for", "show my…
chenhao-limit-up
A framework for judging Chinese A-share stocks that have reached the daily price-rise limit, using market mood, sector leadership, and trading momentum.
furusato
A Japanese hometown-tax donation manager for furusato nozei, a system where donations to municipalities can qualify for an income-tax or local-tax deduction. It reads donation receipts, stores donation records, and calculates deduction limits.
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.