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-deal-sourcinggit 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-deal-sourcing)<a href="https://agentmods.dev/skills/jwangkun/claude-for-financial-services-cn/china-deal-sourcing"><img src="https://agentmods.dev/badge/skills/jwangkun/claude-for-financial-services-cn/china-deal-sourcing/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-deal-sourcing"><img src="https://agentmods.dev/badge/skills/jwangkun/claude-for-financial-services-cn/china-deal-sourcing.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 | $0.01739 |
| Opus 5 | $0.00042 | $0.00870 |
| Sonnet 5 | $0.00017 | $0.00348 |
| Haiku 4.5 | $0.00008 | $0.00174 |
Grade A, and why
china-deal-sourcing 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 — 225 lines — stays where its author put it; the contents beside it link to each section on GitHub.
china-deal-sourcing
Purpose
Identify and evaluate A股及中国市场投资机会 — both listed and pre-IPO opportunities for China-focused investment strategies.
Data Sources
Primary: iFind MCP (Tier-1 付费) / AkShare MCP (Tier-2 免费备选)
get_market_overview() → Market movers
get_industry_stocks(industry="...") → Industry peer lists
get_quote(ticker) → Valuation snapshot
get_financials(ticker, "income") → Financial health check
Secondary Sources
| Source | Use |
|---|---|
| 巨潮资讯 | Company filings, financials |
| 上交所/深交所 | Announcements, listing data |
| 企查查 / 天眼查 | Corporate structure, shareholders |
| 清科 / 投中数据 | Private equity deal flow |
| 券商直投 / 投行 | Deal pipeline |
| 行业展会/论坛 | Networking, deal sourcing |
Workflow
Step 1: Define Investment Criteria
Strategy parameters:
| Parameter | Options | Notes |
|---|---|---|
| Stage | Pre-IPO / Growth / Buyout / Distressed | 阶段 |
| Sector | 新能源, 半导体, 医药, 消费, etc. | 行业偏好 |
| Size | 市值区间 / 营收区间 | 投资规模 |
| Geography | 华东, 华南, 华北, etc. | 区域偏好 |
| Ownership | 国企 / 民企 / 混合 | 所有制偏好 |
| Growth | Revenue growth threshold | 成长性要求 |
Step 2: Screen the Universe
Screening approaches:
Approach 1: Market-based screen (A-share)
# Use AkShare to pull market data
get_market_overview() # Top gainers/losers/volume
get_industry_stocks(industry="半导体") # Sector peers
Screen filters:
- Market cap range
- Revenue growth threshold
- Margin profile
- Valuation multiples
- Trading liquidity
- Ownership structure
Approach 2: Industry research
- Identify growing sectors (行业景气度)
- Map value chain
- Find category leaders
- Identify consolidation opportunities
Approach 3: Network sourcing
- 产业资源 (Industry network)
- 券商/投行 deal flow
- 地方政府招商 (local government promotion)
- 行业协会 connections
- 创始人 network
Step 3: Evaluate Targets
Initial screening criteria:
| Criterion | Threshold | Assessment |
|---|---|---|
| Market size | >XX亿 TAM | Growing market |
| Company position | Top 5-10 in segment | Leadership potential |
| Revenue scale | >X亿 | Minimum viable |
| Growth rate | >XX% | Growth trajectory |
| Margin profile | Gross >XX%, Net >XX% | Profitability |
| Cash generation | Positive FCF | Sustainability |
| Management | Experienced, aligned | Execution capability |
| Competitive position | Moat / differentiation | Sustainability |
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 · 225 lines · 84 tokens per session scan A 6db182a0d704
china-deal-sourcing 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 1,739 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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