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-sector-overviewgit 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-sector-overview)<a href="https://agentmods.dev/skills/jwangkun/claude-for-financial-services-cn/china-sector-overview"><img src="https://agentmods.dev/badge/skills/jwangkun/claude-for-financial-services-cn/china-sector-overview/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-sector-overview"><img src="https://agentmods.dev/badge/skills/jwangkun/claude-for-financial-services-cn/china-sector-overview.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 | $0.00102 | $0.02401 |
| Opus 5 | $0.00051 | $0.01201 |
| Sonnet 5 | $0.00020 | $0.00480 |
| Haiku 4.5 | $0.00010 | $0.00240 |
Grade A, and why
china-sector-overview 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 — 269 lines — stays where its author put it; the contents beside it link to each section on GitHub.
china-sector-overview
Purpose
Create comprehensive A股行业/板块深度报告 covering market dynamics, competitive positioning, regulatory environment, key players, trading multiples, and thematic trends.
Data Sources
Primary: iFind MCP (Tier-1 付费) / AkShare MCP (Tier-2 免费备选)
get_industry_stocks(industry="白酒") → 板块成分股
get_quote(ticker) → 个股行情、估值
get_financials(ticker, "income") → 财务数据对比
get_index_data("000001") → 大盘基准
# News (china-news MCP — separate server)
get_stock_news(ticker="{{TICKER}}") → 行业新闻
get_market_overview() → 涨幅榜/成交额榜
Secondary Sources
| Source | Use |
|---|---|
| 东方财富行业板块 | Industry classification, sector indices |
| 巨潮资讯 | Company filings for competitive analysis |
| 国家统计局 / 海关总署 | Macro data (industry output, trade) |
| 行业协会 (中汽协, 硅业分会, etc.) | Sector-specific statistics |
| Wind / Choice / 同花顺 | Comprehensive sector data |
| 券商研报 | Analyst consensus and frameworks |
Workflow
Step 1: Define Scope & Angle
Clarify:
- Sector / industry focus (e.g., 白酒, 半导体, 新能源汽车)
- Angle (e.g., investment theme, competitive analysis, turnaround story)
- Geographic scope (A-share only, or include HK-listed / US-listed Chinese)
- Time horizon (cyclical analysis, secular trends, near-term trade)
Step 2: Market Size & Structure
Industry overview:
| Metric | Data | Source |
|---|---|---|
| Total market size | 市场规模 (亿元/亿元) | 国家统计局, 行业协会 |
| Growth rate | 同比增速 / CAGR | Historical data |
| Market share | CR5, CR10 concentration | Company filings |
| Penetration rate | For new industries | Industry reports |
| Export/import | 进出口数据 | 海关总署 |
A-share representation:
- Number of listed companies in sector
- Total market cap (总市值 / 流通市值)
- Average PE / PB multiples
- Liquidity (average daily turnover)
Step 3: Competitive Landscape
Peer mapping:
# Get all stocks in an industry
get_industry_stocks(industry="白酒")
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 · 269 lines · 102 tokens per session scan A 4651c51507ef
china-sector-overview 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 102 tokens to every session and 2,401 once invoked, about $0.0005 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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