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-ib-check-deckgit 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-ib-check-deck)<a href="https://agentmods.dev/skills/jwangkun/claude-for-financial-services-cn/china-ib-check-deck"><img src="https://agentmods.dev/badge/skills/jwangkun/claude-for-financial-services-cn/china-ib-check-deck/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-ib-check-deck"><img src="https://agentmods.dev/badge/skills/jwangkun/claude-for-financial-services-cn/china-ib-check-deck.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 | $0.00087 | $0.01806 |
| Opus 5 | $0.00044 | $0.00903 |
| Sonnet 5 | $0.00017 | $0.00361 |
| Haiku 4.5 | $0.00009 | $0.00181 |
Grade A, and why
china-ib-check-deck 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 — 253 lines — stays where its author put it; the contents beside it link to each section on GitHub.
china-ib-check-deck
Purpose
Quality-check A股投行材料 — comprehensive quality assurance for Chinese investment banking pitch decks and transaction materials.
Data Sources
Primary: iFind MCP (Tier-1 付费) / AkShare MCP (Tier-2 免费备选)
get_financials(ticker, "income") → Financial data verification
get_financials(ticker, "balance") → Balance sheet verification
get_quote(ticker) → Market data verification
Secondary Sources
- 巨潮 — source documents
- 审计报告 — reference financials
- 行业报告 — market data
Workflow
Step 1: Deck Structure Review
Structure checklist:
| Section | Required | Present | Quality |
|---|---|---|---|
| 封面 (Cover) | ✓ | ||
| 目录 (TOC) | ✓ | ||
| 交易概述 (Transaction Overview) | ✓ | ||
| 公司概览 (Company Overview) | ✓ | ||
| 行业分析 (Industry Analysis) | ✓ | ||
| 财务表现 (Financial Performance) | ✓ | ||
| 交易逻辑 (Investment Rationale) | ✓ | ||
| 估值 (Valuation) | ✓ | ||
| 风险提示 (Risk Factors) | ✓ | ||
| 附录 (Appendix) | ✓ |
Step 2: Data Accuracy Check
Data verification:
| Data Point | Source | Model/File | Match? | Notes |
|---|---|---|---|---|
| Revenue (latest) | 巨潮 | |||
| Net income (latest) | 巨潮 | |||
| EBITDA | Calculated | |||
| Market cap | iFind / AkShare | |||
| P/E | Calculated | |||
| P/B | Calculated | |||
| EV | Calculated | |||
| Net debt | Balance sheet | |||
| Share count | Annual report |
Tolerance levels:
- Revenue, profit: ±2%
- Balance sheet: ±1%
- Multiples: ±5%
- Market data: ±1%
Step 3: Financial Statement Review
Financial consistency checks:
| Check | Description | Pass |
|---|---|---|
| Revenue growth | Consistent across slides | ✓ |
| Margin trends | Consistent across slides | ✓ |
| Balance sheet totals | Assets = L + E | ✓ |
| Cash flow ties | Beginning + CF = Ending | ✓ |
| Debt schedule | Short + Long = Total | ✓ |
| Share count | Consistent throughout | ✓ |
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 · 253 lines · 87 tokens per session scan A 520ee5d98eae
china-ib-check-deck 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 87 tokens to every session and 1,806 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.
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