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-teasergit 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-teaser)<a href="https://agentmods.dev/skills/jwangkun/claude-for-financial-services-cn/china-teaser"><img src="https://agentmods.dev/badge/skills/jwangkun/claude-for-financial-services-cn/china-teaser/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-teaser"><img src="https://agentmods.dev/badge/skills/jwangkun/claude-for-financial-services-cn/china-teaser.svg" alt="Reviewed on agentmods" width="80" height="20"></a>- NVIDIA SkillSpector warn
SkillSpector: 1 finding, up to medium
These are SkillSpector’s own severities. On a checked sample its high-severity flags on skills were ~96% false positives — a documented command, a public API, a “never do X” rule — so we show them as a caution to read, not a verdict. Why →
- medium Excessive Agency · line 172 Skill enables autonomous high-impact decisions without human-in-the-loop verification. Critical operations (destructive commands, financial transactions, data deletion) should require explicit user confirmation.Fix: Add human-in-the-loop confirmation for destructive, irreversible, or high-impact operations. Never auto-execute commands that modify files, send data, or alter system state.
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 | $0.00068 | $0.01749 |
| Opus 5 | $0.00034 | $0.00874 |
| Sonnet 5 | $0.00014 | $0.00350 |
| Haiku 4.5 | $0.00007 | $0.00175 |
Grade A, and why
china-teaser 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 12d 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 — 236 lines — stays where its author put it; the contents beside it link to each section on GitHub.
china-teaser
Purpose
Draft A股并购盲审Teaser / teaser for sell-side M&A processes — anonymous one-page profiles designed to gauge buyer interest before NDA execution.
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）
# Anonymized financial metrics
get_industry_stocks(industry="...") → Industry context, peer benchmarks
get_quote(ticker) → Valuation ranges (anonymized)
get_financials(ticker, "income") → Revenue, margins (anonymized)
Secondary Sources
- 巨潮 — target company filings (anonymized data extraction)
- Wind / Choice — industry benchmarks
- 券商研报 — sector overviews for context
Workflow
Step 1: Anonymize Target Information
Strip identifying information:
- Company name → "Leading [Industry] Player"
- Ticker → "[Listing Board] -listed Company"
- Exact location → "Headquartered in [Region]"
- Specific products → Product categories only
- Customer names → "Major domestic/international clients"
- Management names → Titles only
Preserve:
- Industry/sector
- Revenue scale (ranges)
- Margin profile
- Growth trajectory
- Market position (leader/challenger)
- Geographic footprint (regions, not cities)
- Deal rationale
Step 2: Structure the Teaser
Standard A-share teaser format:
[CONFIDENTIAL — FOR DISCUSSION PURPOSES ONLY]
[ANONYMOUS TARGET]
[Industry Category] | [Listing Board] | [Region]
═══════════════════════════════════════════
INVESTMENT HIGHLIGHTS
• Leading position in [industry] with ~[X%] market share
• Revenue of ~[XX]亿 RMB with [XX%] YoY growth
• [Gross/Operating] margin of [XX%], above sector average
• Strong [competitive advantage: brand/technology/distribution]
• Established [customer base / channel network / R&D platform]
• Attractive valuation at [X]x EV/EBITDA vs peers at [Y]x
═══════════════════════════════════════════
COMPANY OVERVIEW
Business: [Description without names]
Founded: [Year]
Headquarters: [Region]
Employees: ~[XXX]
Listing: [Board] since [Year]
Core Business:
• [Segment 1]: [XX%] of revenue
• [Segment 2]: [XX%] of revenue
• [Segment 3]: [XX%] of revenue
═══════════════════════════════════════════
MARKET POSITION
• #X player in China [industry] market (~[XX]亿 RMB TAM)
• Strong presence in [region/segment]
• Key competitive advantages: [bullet points]
• [XX%] market share in core segment
═══════════════════════════════════════════
FINANCIAL SNAPSHOT
(RMB 亿元)
2022 2023 2024E
Revenue XX XX XX
YoY Growth XX% XX% XX%
Gross Profit XX XX XX
Gross Margin XX% XX% XX%
EBITDA XX XX XX
EBITDA Margin XX% XX% XX%
Net Income XX XX XX
Net Margin XX% XX% XX%
═══════════════════════════════════════════
TRANSACTION RATIONALE
• Industry consolidation opportunity — top [X] players control [XX%]
• Synergies: [cost savings / revenue enhancement]
• Attractive valuation vs transaction comps
• Strong [cash flow / growth] supporting leverage capacity
═══════════════════════════════════════════
CONFIDENTIALITY
This teaser is prepared solely for discussion purposes and is subject to a
Non-Disclosure Agreement. All information is provided on a confidential basis
and may not be reproduced or distributed without prior written consent.
[Advisor Name] | [Date]
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.
- 12d ago First seen · 236 lines · 68 tokens per session scan A 15fd0babd6e7
china-teaser 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 68 tokens to every session and 1,749 once invoked, about $0.0003 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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