china-dd-meeting-prep

china-dd-meeting-prep is a skill for Claude Code from jwangkun/claude-for-financial-services-cn. It costs 86 tokens per session (1,939 once invoked), scanned A, original, Apache-2.0.

A preparation guide for meetings with the management of Chinese publicly traded companies during investment due diligence, the process of checking an investment before committing money.

In plain words
What is it for?
Use it to review company history, ownership, business model, finances, industry position, management background, and recent events before a meeting.
Why use it?
It helps investors organize company research and prepare focused questions before speaking with management.

Skill for Claude Code

Written for Claude Code: shipped in a Claude Code plugin.

Part of the private-equity plugin — 9 skills shipped together

Good fit Use it to review company history, ownership, business model, finances, industry position, management background, and recent events before a meeting.

Compare 6 skills from other repositories ↓
Install with agentmods
npx agentmods add skills/jwangkun/claude-for-financial-services-cn/china-dd-meeting-prep
Install

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.

Any agent
npx skills add jwangkun/claude-for-financial-services-cn --skill china-dd-meeting-prep
Clone the repo
git clone --depth 1 https://github.com/jwangkun/claude-for-financial-services-cn

Made for: Claude Code.

Or install private-equity, the plugin that ships this one along with the rest of its 9 skills.

Wrote 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.

agentmods badge for china-dd-meeting-prep

README.md
[![agentmods](https://agentmods.dev/badge/skills/jwangkun/claude-for-financial-services-cn/china-dd-meeting-prep/github.svg)](https://agentmods.dev/skills/jwangkun/claude-for-financial-services-cn/china-dd-meeting-prep)
Your own site
<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.

agentmods 80×15 button for china-dd-meeting-prep

Your own site · 80×15
<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>
Per session 86 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 1,939 The whole file, excluding the scripts and references it only reads on demand.
Security scan A 0 findings. A grade says what 26 rules found in the file — not that it is safe. Third-party audits
  • NVIDIA SkillSpector pass 7 Sept 2026
How audits are shown
Origin original No closer match found in the catalogue.
Token cost

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.

ModelPer sessionOnce invoked
Fable 5.1 $0.00086 $0.01939
Opus 5 $0.00043 $0.00970
Sonnet 5 $0.00017 $0.00388
Haiku 4.5 $0.00009 $0.00194

Measured 9d ago against content hash cdd309d5a2ed, method: parsed. Prices are Anthropic first-party input rates as of 2026-09-12, from the pricing page.

Security

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 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.

vertical-plugins/private-equity/skills/china-dd-meeting-prep/SKILL.md · 291 lines

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?

Read the full file on GitHub · 291 lines

Changes

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.

  1. 9d ago First seen · 291 lines · 86 tokens per session scan A cdd309d5a2ed

Subscribe to this mod's changes

china-dd-meeting-prep 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 86 tokens to every session and 1,939 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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