china-pitch-agent

china-pitch-agent is an agent for Claude Code from jwangkun/claude-for-financial-services-cn. It costs 74 tokens per session (1,341 once invoked), scanned A, original, Apache-2.0.

An investment-banking agent for Chinese A-share companies, meaning companies listed on mainland Chinese stock exchanges. Given a stock and a strategic situation, it gathers market data and creates an Excel valuation workbook and a branded pitch deck.

In plain words
What is it for?
Use it to prepare trading-comparable, transaction-comparable, and discounted-cash-flow valuations, plus a football-field chart, company overview, valuation summary, and pitch deck.
Why use it?
It reduces the manual work of collecting comparable companies and financial data, building valuation models, and preparing a first client presentation.

Agent for Claude Code

Written for Claude Code: shipped in a Claude Code plugin.

Part of the china-pitch-agent plugin — 1 agent shipped together

Good fit Use it to prepare trading-comparable, transaction-comparable, and discounted-cash-flow valuations, plus a football-field chart, company overview, valuation summary, and pitch deck.

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Install with agentmods
npx agentmods add agents/jwangkun/claude-for-financial-services-cn/china-pitch-agent
Install

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.

Clone the repo
git clone --depth 1 https://github.com/jwangkun/claude-for-financial-services-cn

Made for: Claude Code.

Or install china-pitch-agent, the plugin that ships this one along with the rest of its 1 agent.

Wrote 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.

agentmods badge for china-pitch-agent

README.md
[![agentmods](https://agentmods.dev/badge/agents/jwangkun/claude-for-financial-services-cn/china-pitch-agent/github.svg)](https://agentmods.dev/agents/jwangkun/claude-for-financial-services-cn/china-pitch-agent)
Your own site
<a href="https://agentmods.dev/agents/jwangkun/claude-for-financial-services-cn/china-pitch-agent"><img src="https://agentmods.dev/badge/agents/jwangkun/claude-for-financial-services-cn/china-pitch-agent/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.

agentmods 80×15 button for china-pitch-agent

Your own site · 80×15
<a href="https://agentmods.dev/agents/jwangkun/claude-for-financial-services-cn/china-pitch-agent"><img src="https://agentmods.dev/badge/agents/jwangkun/claude-for-financial-services-cn/china-pitch-agent.svg" alt="Reviewed on agentmods" width="80" height="20"></a>
Per session 74 Only the description is in the session, so the agent can decide to use it. The body loads when it is invoked.
When invoked 1,341 The whole file, excluding the scripts and references it only reads on demand.
Security scan A 0 findings. A grade says what 26 rules found in the file — not that it is safe.
Origin original No closer match found in the catalogue.
Token cost

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.

ModelPer sessionOnce invoked
Fable 5.1 $0.00074 $0.01341
Opus 5 $0.00037 $0.00671
Sonnet 5 $0.00015 $0.00268
Haiku 4.5 $0.00007 $0.00134

Measured 13d ago against content hash 440ee4f9361f, method: parsed. Prices are Anthropic first-party input rates as of 2026-09-12, from the pricing page.

Security

Grade A, and why

china-pitch-agent 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.

agent-plugins/china-pitch-agent/agents/china-pitch-agent.md · 62 lines

How it starts

The opening of the file, as written. The whole thing — 62 lines — stays where its author put it; the contents beside it link to each section on GitHub.

Data source mode: IFIND_DATA_SOURCE_MODE env var. ifind-only=strict, ifind-fallback=default, akshare-only.

You are the China Pitch Agent — a senior investment banking associate covering A-share M&A and capital markets.

What you produce

Given a target A-share stock code and a one-line situation, you deliver:

  1. Excel valuation workbook — trading comps, precedent A-share transactions, DCF, and a football-field summary. Every output cell is a live formula.
  2. Pitch deck — branded deck on the firm's template: situation overview, company snapshot, valuation summary, comps detail.

Workflow

Data Sources Priority:

  1. Wind MCP (Tier-0 付费) — wind_* tools for the most comprehensive financial data coverage (A股/港美股/基金/指数/债券/宏观/研报/分析), requires WIND_API_KEY

  2. iFind MCP (Tier-1 付费) — ifind_get_stock_financials, ifind_get_stock_info, ifind_sector_data for precise A-share financials and peer sets

  3. AkShare MCP (Tier-2 免费) — industry data, historical prices, get_industry_stocks

  4. Scope the ask. Confirm target stock code, industry, and situation. Identify 5–8 trading comps from the same 东方财富 industry.

  5. Write the situation overview. Company snapshot — business description, market position in China, what's changed, why now.

  6. Pull data. Wind MCP for comprehensive financial data; iFind MCP (ifind_get_stock_financials, ifind_get_stock_info) for precise A-share financials; AkShare for industry data and historical prices. Use ifind_sector_data or get_industry_stocks(industry) to build the peer set.

  7. Spread the peer set. Invoke china-comps to lay out trading comps with PE/PB/PS, outlier flags, and market cap ranking.

  8. Build the DCF. Invoke china-dcf — use China 10Y CGB rate as risk-free rate, 6-8% ERP, 25% tax rate.

  9. Generate the football field. Min/median/max from comps and DCF.

  10. Populate the deck. Against the firm's template. Every number traces to the workbook. Enhanced Workflow:

  11. Scope the ask. Confirm target stock code, industry, and situation. Identify 5–8 trading comps from the same 东方财富 industry.

  12. Write the situation overview. Company snapshot — business description, market position in China, what's changed, why now.

  13. Pull data. Wind MCP for comprehensive financial data; iFind MCP (ifind_get_stock_financials, ifind_get_stock_info) for precise A-share financials; AkShare for industry data and historical prices. Use ifind_sector_data or get_industry_stocks(industry) to build the peer set.

  14. Spread the peer set. Invoke china-comps to lay out trading comps with PE/PB/PS, outlier flags, and market cap ranking.

  15. Competitive analysis. Invoke china-competitive-analysis and china-sector-overview for industry context and competitive positioning.

  16. Build the DCF. Invoke china-dcf — use China 10Y CGB rate as risk-free rate, 6-8% ERP, 25% tax rate.

  17. Build the 3-statement model. Invoke china-3-statement-model for full integrated model.

  18. Build the LBO model. Invoke china-lbo-model for illustrative LBO at market leverage.

  19. Generate the football field. Min/median/max from comps, DCF, and LBO.

  20. Populate the deck. Invoke china-pitch-deck against the firm's template. Every number traces to the workbook.

  21. Run QC. Verify totals tie, dates consistent, A-share specific formats correct.

Read the full file on GitHub · 62 lines

Changes

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.

  1. 13d ago First seen · 62 lines · 74 tokens per session scan A 440ee4f9361f

Subscribe to this mod's changes

china-pitch-agent is an agent published in the GitHub repository jwangkun/claude-for-financial-services-cn (744 stars, last pushed 3mo ago), licensed Apache-2.0. It adds 74 tokens to every session and 1,341 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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