china-ic-memo

china-ic-memo is a skill for Claude Code from jwangkun/claude-for-financial-services-cn. It costs 77 tokens per session (1,953 once invoked), scanned A, original, Apache-2.0.

A structured document for an investment committee deciding whether to approve a China-focused deal. It brings the recommendation, transaction terms, investment reasoning, market analysis, and expected returns into one memo.

In plain words
What is it for?
Use it to draft committee materials for A-share investments, acquisitions, secondary sales, valuations, company analysis, and investment recommendations.
Why use it?
It helps decision-makers review the same key facts and risks before approving, conditionally approving, or rejecting an investment.

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 draft committee materials for A-share investments, acquisitions, secondary sales, valuations, company analysis, and investment recommendations.

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

README.md
[![agentmods](https://agentmods.dev/badge/skills/jwangkun/claude-for-financial-services-cn/china-ic-memo/github.svg)](https://agentmods.dev/skills/jwangkun/claude-for-financial-services-cn/china-ic-memo)
Your own site
<a href="https://agentmods.dev/skills/jwangkun/claude-for-financial-services-cn/china-ic-memo"><img src="https://agentmods.dev/badge/skills/jwangkun/claude-for-financial-services-cn/china-ic-memo/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-ic-memo

Your own site · 80×15
<a href="https://agentmods.dev/skills/jwangkun/claude-for-financial-services-cn/china-ic-memo"><img src="https://agentmods.dev/badge/skills/jwangkun/claude-for-financial-services-cn/china-ic-memo.svg" alt="Reviewed on agentmods" width="80" height="20"></a>
Per session 77 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 1,953 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 $0.00077 $0.01953
Opus 5 $0.00039 $0.00977
Sonnet 5 $0.00015 $0.00391
Haiku 4.5 $0.00008 $0.00195

Measured 9d ago against content hash 7ad0e820efa9, method: parsed. Prices are Anthropic first-party input rates as of 2026-09-12, from the pricing page.

Security

Grade A, and why

china-ic-memo 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-ic-memo/SKILL.md · 231 lines

How it starts

The opening of the file, as written. The whole thing — 231 lines — stays where its author put it; the contents beside it link to each section on GitHub.

china-ic-memo

Purpose

Draft A股投资委员会备忘录 (IC Memo) — structured decision documents for investment committee reviews.

Data Sources

Primary: iFind MCP (Tier-1 付费) / AkShare MCP (Tier-2 免费备选)

get_quote(ticker)                        → Valuation context
get_financials(ticker, "income")         → Financials
get_industry_stocks(industry="...")       → Peer comparables

Secondary Sources

  • 巨潮 — company filings
  • Wind / Choice — comprehensive data
  • 券商研报 — existing research
  • 尽调报告 — DD findings

Workflow

Step 1: Structure the Memo

Standard A-share IC memo format:

【机密】投资委员会备忘录

项目名称:[Target Company]
交易类型:[Investment type: 股权投资 / 并购 / 老股转让]
推荐团队:[Team name]
日期:[Date]

═══════════════════════════════════════════

一、投资建议 (Recommendation)
   [One-paragraph summary]
   建议:[批准 / 有条件批准 / 否决]
   投资金额:[XX亿]
   目标股权:[XX%]
   目标价格:[¥XX / EV XX亿]

二、交易概述 (Transaction Overview)
   - 标的公司:[Name], [Industry], [Listing status]
   - 交易结构:[Structure description]
   - 预计交割:[Date]
   - 投资回报预期:[Xx% IRR, Xx MOIC]

三、投资逻辑 (Investment Thesis)
   [3-5 bullet points]
   1. [Key driver 1]
   2. [Key driver 2]
   3. [Key driver 3]

四、市场与行业分析 (Market & Industry)
   - 市场规模:[XX亿], 增速 [X%]
   - 竞争格局:[Description]
   - 政策环境:[Policy context]
   - 趋势判断:[Secular trends]

五、目标公司分析 (Target Analysis)
   - 商业模式:[Description]
   - 竞争优势:[Bullets]
   - 管理团队:[Assessment]
   - 财务表现:[Summary]

六、估值分析 (Valuation)
   - 交易估值:[XX亿 / Xx PE]
   - 可比交易:[Comparable M&A]
   - DCF估值:[XX亿]
   - 估值区间:[XX-XX亿]
   - Upside/Downside:[X% / X%]

七、风险因素 (Risk Factors)
   - [Risk 1]: [Mitigation]
   - [Risk 2]: [Mitigation]
   - [Risk 3]: [Mitigation]

八、交易结构 (Transaction Structure)
   - 投资金额:[XX亿]
   - 股权比例:[XX%]
   - 董事会席位:[X席]
   - 业绩承诺:[如有]
   - 反稀释条款:[Description]
   - 退出安排:[IPO / 并购 / 回购]

九、退出策略 (Exit Strategy)
   - 主要路径:[A股IPO / 并购 / 老股转让]
   - 预计时间:[3-5年]
   - 目标回报:[Xx IRR]
   - 备选方案:[Alternative exits]

十、结论与建议 (Conclusion)
   [Summary and committee ask]
   需要委员会决策的事项:
   1. [Decision item 1]
   2. [Decision item 2]

Read the full file on GitHub · 231 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 · 231 lines · 77 tokens per session scan A 7ad0e820efa9

Subscribe to this mod's changes

china-ic-memo 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 77 tokens to every session and 1,953 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.

Related

Other skills, from other repositories

dcf-model

Build discounted cash flow valuation workbooks in Excel.

NousResearch/hermes-agent · 14 tokens

comps-analysis

Build comparable-company valuation workbooks in Excel.

NousResearch/hermes-agent · 13 tokens

tear-sheet

Generate professional company tear sheets using S&P Capital IQ data via the Kensho LLM-ready API MCP server. Use this skill whenever the user asks for a tear sheet, company one-pager, company profile, fact sheet, company snapshot, or company overview document — especially when they mention a specific company name or…

anthropics/financial-services · 143 tokens

pitch-deck

Populates investment banking pitch deck templates with data from source files. Use when: user provides a PowerPoint template to fill in, user has source data (Excel/CSV) to populate into slides, user mentions populating or filling a pitch deck template, or user needs to transfer data into existing slide layouts. Not…

anthropics/financial-services · 73 tokens

lbo-model

This skill should be used when completing LBO (Leveraged Buyout) model templates in Excel for private equity transactions, deal materials, or investment committee presentations. The skill fills in formulas, validates calculations, and ensures professional formatting standards that adapt to any template structure.

anthropics/financial-services · 57 tokens

ppt-template-creator

Creates self-contained PPT template SKILLS (not presentations) from user-provided PowerPoint templates. Use ONLY when a user wants to create a reusable skill from their template. For creating actual presentations, use the pptx skill instead.

anthropics/financial-services · 51 tokens