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-unit-economicsgit 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-unit-economics)<a href="https://agentmods.dev/skills/jwangkun/claude-for-financial-services-cn/china-unit-economics"><img src="https://agentmods.dev/badge/skills/jwangkun/claude-for-financial-services-cn/china-unit-economics/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-unit-economics"><img src="https://agentmods.dev/badge/skills/jwangkun/claude-for-financial-services-cn/china-unit-economics.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 | $0.00080 | $0.01912 |
| Opus 5 | $0.00040 | $0.00956 |
| Sonnet 5 | $0.00016 | $0.00382 |
| Haiku 4.5 | $0.00008 | $0.00191 |
Grade A, and why
china-unit-economics 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 9d 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 — 193 lines — stays where its author put it; the contents beside it link to each section on GitHub.
china-unit-economics
Purpose
Analyze A股及中国市场单元经济模型 — per-unit economics, customer economics, and cohort analysis for portfolio companies.
Key Metrics
Core Framework (Same as Global)
| Metric | Formula | Target |
|---|---|---|
| LTV (Customer Lifetime Value) | ARPU × Lifetime × Gross Margin | >3x CAC |
| CAC (Customer Acquisition Cost) | Sales & Marketing / New Customers | <12-month payback |
| LTV/CAC | LTV / CAC | >3.0x |
| CAC Payback (months) | CAC / (ARPU × Gross Margin %) | <12 months |
| NRR (Net Revenue Retention) | (Start + Expansion - Churn) / Start | >100% |
| GRR (Gross Revenue Retention) | (Start - Churn) / Start | >85% |
| ARR | Annual Recurring Revenue | Growing |
| Churn Rate | Lost customers / Total | <5% monthly |
China-Specific Metrics
| Metric | Description | China Context |
|---|---|---|
| 获客成本 | CAC in Chinese context | 线上投放 + 线下渠道 |
| 用户生命周期价值 | LTV for Chinese consumers | Higher for tier-1 |
| 复购率 | Repeat purchase rate | Critical for DTC brands |
| 客单价 | Average order value | 价格敏感 market |
| 渠道成本 | Channel economics | 经销商 vs DTC |
| 补贴依赖 | Subsidy / discount dependence | Common in China |
Data Sources
Primary: iFind MCP (Tier-1 付费) / AkShare MCP (Tier-2 免费备选)
# For public companies, extract proxies
get_financials(ticker, "income") → Revenue, opex
get_financials(ticker, "balance") → Customer-related assets
get_financials(ticker, "cashflow") → Cash flow
Secondary Sources
- 巨潮 — company filings with segment data
- 管理层指引 — management guidance
- 券商研报 — unit economics estimates
- 行业数据 — industry benchmarks
Workflow
Step 1: Define Unit Economics Model
Business model identification:
| Business Model | Unit Definition | Revenue Model |
|---|---|---|
| 消费品 | 每单 / 每用户 | Transaction |
| SaaS | 每客户 (年) | Subscription |
| 电商 | 每订单 / 每用户 | Transaction |
| 制造业 | 每件 / 每吨 | Unit sales |
| 平台 | 每GMV / 每交易 | Take rate |
| 广告 | 每曝光 / 每点击 | CPM / CPC |
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.
- 9d ago First seen · 193 lines · 80 tokens per session scan A ecf4d7198ff8
china-unit-economics 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 80 tokens to every session and 1,912 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 2026-09-03.
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