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-pitch-deckgit 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-pitch-deck)<a href="https://agentmods.dev/skills/jwangkun/claude-for-financial-services-cn/china-pitch-deck"><img src="https://agentmods.dev/badge/skills/jwangkun/claude-for-financial-services-cn/china-pitch-deck/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-pitch-deck"><img src="https://agentmods.dev/badge/skills/jwangkun/claude-for-financial-services-cn/china-pitch-deck.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 | $0.00079 | $0.01783 |
| Opus 5 | $0.00039 | $0.00892 |
| Sonnet 5 | $0.00016 | $0.00357 |
| Haiku 4.5 | $0.00008 | $0.00178 |
Grade A, and why
china-pitch-deck 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 — 232 lines — stays where its author put it; the contents beside it link to each section on GitHub.
china-pitch-deck
Purpose
Populate A股投行 Pitch Deck / 路演材料 templates with financial data, charts, and narrative for Chinese target companies.
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_stock_info(ticker) → Company overview
get_quote(ticker) → Current valuation, multiples
get_historical_data(ticker) → Stock performance chart data
get_financials(ticker, "income", "annual") → Revenue, profit trends
get_financials(ticker, "balance", "annual") → Balance sheet
get_financials(ticker, "cashflow", "annual") → Cash flow
get_industry_stocks(industry="...") → Peer companies
Secondary Sources
- 巨潮资讯 — annual reports, IR presentations
- 公司官网 — investor relations materials
- 券商研报 — existing research for reference
- Wind / Choice — comprehensive data
Workflow
Step 1: Understand the Template
Typical A-share pitch deck sections:
| Slide # | Section | Content |
|---|---|---|
| 1 | Cover | Company name, ticker, transaction overview |
| 2 | Executive Summary | Investment highlights, valuation summary |
| 3 | Company Overview | Business model, history, structure |
| 4 | Industry Overview | Market size, trends, policy |
| 5 | Competitive Landscape | Market share, positioning |
| 6 | Financial Summary | Revenue, profit, margins (historical) |
| 7 | Operating Metrics | Key KPIs by segment |
| 8 | Trading Comparables | Peer multiples, dispersion |
| 9 | Precedent Transactions | Comparable M&A |
| 10 | DCF Valuation | Football field, sensitivity |
| 11 | Transaction Rationale | Why now, why this buyer |
| 12 | Risks & Mitigations | Key risks and how to address |
Step 2: Gather Data
For each section, pull required data:
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 · 232 lines · 79 tokens per session scan A 0d42c87d029d
china-pitch-deck 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 79 tokens to every session and 1,783 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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