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-strip-profilegit 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-strip-profile)<a href="https://agentmods.dev/skills/jwangkun/claude-for-financial-services-cn/china-strip-profile"><img src="https://agentmods.dev/badge/skills/jwangkun/claude-for-financial-services-cn/china-strip-profile/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-strip-profile"><img src="https://agentmods.dev/badge/skills/jwangkun/claude-for-financial-services-cn/china-strip-profile.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 | $0.00082 | $0.01634 |
| Opus 5 | $0.00041 | $0.00817 |
| Sonnet 5 | $0.00016 | $0.00327 |
| Haiku 4.5 | $0.00008 | $0.00163 |
Grade A, and why
china-strip-profile 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 — 197 lines — stays where its author put it; the contents beside it link to each section on GitHub.
china-strip-profile
Purpose
Create professional A股目标公司简介/Strip Profile slides for pitch books and deal materials.
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 profile
get_quote(ticker) → Current valuation
get_historical_data(ticker) → Stock performance
get_financials(ticker, "income", "annual") → Revenue, profit
get_financials(ticker, "balance", "annual") → Assets, debt
get_industry_stocks(industry="...") → Peer context
get_stock_news(ticker) → Recent news
Secondary Sources
- 巨潮资讯 — annual reports, prospectus (招股说明书)
- 企查查 / 天眼查 — corporate structure, subsidiaries
- 公司官网 — investor relations materials
- 券商研报 — existing research (if covered)
Workflow
Step 1: Gather Target Information
Company basics:
- 公司全称 (Full name)
- 股票代码 (Ticker)
- 上市板块 (Listing board: 主板/创业板/科创板/北交所)
- 上市日期 (Listing date)
- 行业分类 (Industry classification)
- 总部地址 (Headquarters)
- 员工人数 (Employee count)
Business description:
- 主营业务 (Core business)
- 产品/服务 (Products/services)
- 商业模式 (Business model)
- 客户结构 (Customer base)
- 地域分布 (Geographic footprint)
Financial snapshot (most recent):
| Metric | FY2023 | FY2022 | YoY |
|---|---|---|---|
| Revenue (亿) | |||
| Net Income (亿) | |||
| Gross Margin | |||
| Net Margin | |||
| ROE | |||
| Net Debt/EBITDA |
Market data:
- Current price (latest close)
- Market cap (总市值 / 流通市值)
- 52-week high/low
- YTD performance
- Average daily turnover
Step 2: Identify Key Investment Highlights
Highlight categories:
- Market leadership (市场地位)
- Market share rank
- Competitive advantages
- Barriers to entry
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 · 197 lines · 82 tokens per session scan A 4b817daf2e5e
china-strip-profile 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 82 tokens to every session and 1,634 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.
Other skills, from other repositories
dcf-model
Build discounted cash flow valuation workbooks in Excel.
comps-analysis
Build comparable-company valuation workbooks in Excel.
tear-sheet
Generate professional company tear sheets using S&P Capital IQ data via the Kensho LLM-ready API MCP server. Use this skill whenever the user asks for a tear sheet, company one-pager, company profile, fact sheet, company snapshot, or company overview document — especially when they mention a specific company name or…
pitch-deck
Populates investment banking pitch deck templates with data from source files. Use when: user provides a PowerPoint template to fill in, user has source data (Excel/CSV) to populate into slides, user mentions populating or filling a pitch deck template, or user needs to transfer data into existing slide layouts. Not…
lbo-model
This skill should be used when completing LBO (Leveraged Buyout) model templates in Excel for private equity transactions, deal materials, or investment committee presentations. The skill fills in formulas, validates calculations, and ensures professional formatting standards that adapt to any template structure.
ppt-template-creator
Creates self-contained PPT template SKILLS (not presentations) from user-provided PowerPoint templates. Use ONLY when a user wants to create a reusable skill from their template. For creating actual presentations, use the pptx skill instead.