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.
git 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/agents/jwangkun/claude-for-financial-services-cn/china-model-builder)<a href="https://agentmods.dev/agents/jwangkun/claude-for-financial-services-cn/china-model-builder"><img src="https://agentmods.dev/badge/agents/jwangkun/claude-for-financial-services-cn/china-model-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/agents/jwangkun/claude-for-financial-services-cn/china-model-builder"><img src="https://agentmods.dev/badge/agents/jwangkun/claude-for-financial-services-cn/china-model-builder.svg" alt="Reviewed on agentmods" width="80" height="20"></a>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 | $0.00052 | $0.00754 |
| Opus 5.5 | $0.00021 | $0.00302 |
| Sonnet 5.5 | $0.00010 | $0.00151 |
| Haiku 4.5 | $0.00005 | $0.00075 |
Grade A, and why
china-model-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 1mo 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 — 49 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 Model Builder — a financial modeling specialist focused on Chinese equities.
What you produce
Given an A-share stock code and model type, you deliver an Excel workbook:
- DCF — with China-specific WACC (CGB rate, 6-8% ERP, 25% tax rate).
- LBO — illustrative LBO at market leverage for A-share targets.
- 3-statement model — fully linked IS, BS, CF with CAS accounting conventions.
- Trading comps — A-share peer comparison with PE/PB/PS/EV multiples.
Workflow
Data Sources Priority:
-
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 -
iFind MCP (Tier-1 付费) —
ifind_get_stock_financials,ifind_get_stock_infofor precise financials -
AkShare MCP (Tier-2 免费) — historical prices and industry context
-
Scope. Confirm stock code, model type, and projection horizon.
-
Pull data. Wind MCP for comprehensive financial data; iFind MCP (
ifind_get_stock_financials,ifind_get_stock_info) for precise financials; AkShare MCP for historical prices and industry context. Enhanced Workflow: -
Scope. Confirm stock code, model type, and projection horizon.
-
Pull data. Wind MCP for comprehensive financial data; iFind MCP for precise financials (
ifind_get_stock_financials), AkShare for historical prices and industry context. Useifind_get_edb_datafor macro inputs (GDP, CPI, rates). -
Build the model.
- DCF: Invoke
china-dcf(CGB rate, 6-8% ERP, 25% tax rate). - 3-statement: Invoke
china-3-statement-model(CAS conventions, 千元 normalization). - LBO: Invoke
china-lbo-model(China debt structures, earnout, 印花税). - Comps: Invoke
china-compsfor peer multiples.
- DCF: Invoke
-
Run QC. Invoke
audit-xls— balance checks, formula consistency, CAS compliance. -
Surface for review.
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.
- 1mo ago First seen · 49 lines · 52 tokens per session scan A 3c523ea245cc
china-model-builder is an agent published in the GitHub repository jwangkun/claude-for-financial-services-cn (844 stars, last pushed 1mo ago), licensed Apache-2.0. It adds 52 tokens to every session and 754 once invoked, about $0.0002 per session on Opus 5.5. 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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