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-investment-proposalgit 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-investment-proposal)<a href="https://agentmods.dev/skills/jwangkun/claude-for-financial-services-cn/china-investment-proposal"><img src="https://agentmods.dev/badge/skills/jwangkun/claude-for-financial-services-cn/china-investment-proposal/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-investment-proposal"><img src="https://agentmods.dev/badge/skills/jwangkun/claude-for-financial-services-cn/china-investment-proposal.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 | $0.00084 | $0.02148 |
| Opus 5 | $0.00042 | $0.01074 |
| Sonnet 5 | $0.00017 | $0.00430 |
| Haiku 4.5 | $0.00008 | $0.00215 |
Grade A, and why
china-investment-proposal 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 — 272 lines — stays where its author put it; the contents beside it link to each section on GitHub.
china-investment-proposal
Purpose
Create professional A股财富管理投资建议书 — structured proposals for Chinese wealth management clients.
Data Sources
Primary: iFind MCP (Tier-1 付费) / AkShare MCP (Tier-2 免费备选)
get_index_data("000001") → Market context
get_index_data("399006") → ChiNext context
get_quote(ticker) → Security analysis
get_fund_data(fund_code) → Fund analysis
get_industry_stocks(industry="...") → Sector analysis
Secondary Sources
- Portfolio management system
- Research team — market outlook
- Product providers — fund/insurance data
Workflow
Step 1: Understand Client Needs
Discovery questions:
- Investment objective: 保值增值 / 稳健增值 / 积极增值 / 收入型
- Time horizon: 短期(<1年) / 中期(1-5年) / 长期(>5年)
- Risk tolerance: 保守 / 稳健 / 积极 / 激进
- Liquidity needs: 高 / 中 / 低
- Special considerations: 税务, 遗产, 慈善, etc.
Step 2: Market & Strategy Overview
Current market assessment:
市场展望 [Period]
一、宏观经济
[GDP, policy, rates outlook]
二、权益市场
- 估值水平: 沪深300 PE [Xx] (历史[X]%分位)
- 资金面: 北向资金, 两融余额
- 情绪指标: [Index]
三、行业配置观点
超配 (Overweight): [Sectors] — [Rationale]
标配 (Neutral): [Sectors]
低配 (Underweight): [Sectors] — [Rationale]
四、风险提示
[Key risks]
Step 3: Investment Strategy
Strategy design:
| Component | Allocation | Rationale |
|---|---|---|
| A股权益 | XX% | Growth engine |
| 基金 (主动) | XX% | Professional management |
| 基金 (指数) | XX% | Low-cost beta |
| 债券/固收+ | XX% | Stability, income |
| 现金/货币基金 | XX% | Liquidity |
| 另类 (REITs, 黄金) | XX% | Diversification |
A-share equity allocation:
| Sector | Weight | Thesis |
|---|---|---|
| 消费 | XX% | [Rationale] |
| 科技 | XX% | [Rationale] |
| 医药 | XX% | [Rationale] |
| 金融 | XX% | [Rationale] |
| 新能源 | XX% | [Rationale] |
| 其他 | XX% | [Rationale] |
Step 4: Product Recommendations
Recommended securities:
| # | Type | Security | Ticker | Allocation | Rationale | Risk Level |
|---|---|---|---|---|---|---|
| 1 | A股个股 | |||||
| 2 | 主动基金 | |||||
| 3 | 指数基金 | |||||
| 4 | 债券/理财 | |||||
| 5 | 现金管理 |
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 · 272 lines · 84 tokens per session scan A ac7a10ed9d07
china-investment-proposal 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 84 tokens to every session and 2,148 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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