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-dd-meeting-prepgit 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-dd-meeting-prep)<a href="https://agentmods.dev/skills/jwangkun/claude-for-financial-services-cn/china-dd-meeting-prep"><img src="https://agentmods.dev/badge/skills/jwangkun/claude-for-financial-services-cn/china-dd-meeting-prep/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-dd-meeting-prep"><img src="https://agentmods.dev/badge/skills/jwangkun/claude-for-financial-services-cn/china-dd-meeting-prep.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 | $0.00086 | $0.01939 |
| Opus 5.5 | $0.00034 | $0.00776 |
| Sonnet 5.5 | $0.00017 | $0.00388 |
| Haiku 4.5 | $0.00009 | $0.00194 |
Grade A, and why
china-dd-meeting-prep 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 1mo 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 — 291 lines — stays where its author put it; the contents beside it link to each section on GitHub.
china-dd-meeting-prep
Purpose
Prepare for A股投资尽调管理层会议 — structured meeting preparation with question lists and material review.
Data Sources
Primary: iFind MCP (Tier-1 付费) / AkShare MCP (Tier-2 免费备选)
get_stock_info(ticker) → Company overview
get_quote(ticker) → Valuation context
get_financials(ticker, "income") → Financial performance
get_financials(ticker, "balance") → Balance sheet
get_industry_stocks(industry="...") → Peer context
Secondary Sources
- 巨潮 — company filings
- 券商研报 — existing research
- 公开信息 — news, announcements
Workflow
Step 1: Research the Company
Pre-meeting research checklist:
| Item | Source | Notes |
|---|---|---|
| 公司历史 | 巨潮年报 | Founding story, milestones |
| 股权结构 | 年报 / 企查查 | Ownership, actual controller |
| 业务模式 | 年报, 官网 | How they make money |
| 财务表现 | AkShare / 巨潮 | Trends, quality |
| 行业地位 | 行业报告 | Market share, positioning |
| 管理层背景 | 年报, 官网 | Experience, track record |
| 近期动态 | 公告, 新闻 | M&A, contracts, disputes |
Step 2: Prepare Question List
Categorized questions:
Strategy & Vision (战略)
1. 公司未来3-5年的战略规划是什么?
- 增长驱动因素:有机增长 vs 并购?
- 重点发展的业务/区域?
- 竞争策略是什么?
2. 行业整合怎么看?
- 公司是否有意参与行业整合?
- 对竞争对手的评估?
3. 技术/产品路线图?
- 研发投入计划?
- 核心技术壁垒?
Financial Performance (财务)
1. 收入增长驱动因素分解?
- 量 vs 价 vs 产品组合?
2. 毛利率趋势?
- 原材料成本压力?
- 提价能力?
3. 资本配置优先级?
- 分红 vs 再投资 vs 还债?
4. 现金流管理?
- 经营现金流趋势?
- 资本支出计划?
5. 债务结构?
- 有息负债规模和期限?
- 融资渠道?
Operations (运营)
1. 产能利用率?
2. 供应链管理?
- 关键供应商?
- 备选方案?
3. 客户结构?
- 前五大客户占比?
- 客户留存率?
4. 质量控制体系?
5. 渠道网络?
- 经销商管理?
- 直营 vs 经销?
Management & Organization (管理)
1. 管理层背景和经验?
- 核心团队 tenure?
- succession planning?
2. 组织架构?
- 关键岗位?
- 人才流失率?
3. 激励机制?
- 管理层激励?
- 员工股权?
4. 企业文化?
- 价值观, 执行力?
Competitive Position (竞争)
1. 核心竞争优势?
- 护城河是什么?
2. 主要竞争对手?
- 如何应对竞争?
3. 进入壁垒?
- 新进入者威胁?
4. 替代品威胁?
- 技术替代风险?
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.
- 1mo ago First seen · 291 lines · 86 tokens per session scan A cdd309d5a2ed
china-dd-meeting-prep is a skill published in the GitHub repository jwangkun/claude-for-financial-services-cn (844 stars, last pushed 1mo ago), licensed Apache-2.0. It adds 86 tokens to every session and 1,939 once invoked, about $0.0003 per session on Opus 5.5. 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.
Other skills, from other repositories
sector-rotation
An analysis framework for comparing industries in the Chinese A-share stock market, using business conditions, price momentum, valuation, and money flows. It produces rankings and higher- or lower-allocation suggestions.
twitter-reader
Read Twitter/X for financial research through opencli: the user's home timeline, tweet search, trending topics, bookmarks, a user's recent tweets, threads, articles, profiles, followers and following, and notifications. Use this skill whenever the user wants to know what people are saying on Twitter/X or fintwit about…
strategy-pivot-designer
Detect backtest iteration stagnation and generate structurally different strategy pivot proposals when parameter tuning reaches a local optimum.
energy-procurement
Codified expertise for electricity and gas procurement, tariff optimization, demand charge management, renewable PPA evaluation, and multi-facility energy cost management. Informed by energy procurement managers with 15+ years experience at large commercial and industrial consumers. Includes market structure analysis…
airdrop-hunting-guide
Guide to finding and qualifying for crypto airdrops — eligibility criteria, farming strategies, on-chain activity requirements, Sybil detection avoidance, and tracking tools. Use when helping users understand airdrops, check eligibility, or plan participation strategies.
multi-expert-analyzer
A method for examining complicated questions through several expert viewpoints, followed by fact-checking and criticism.