China Deal Screening

Community

jwangkun

china-deal-screening

Screen and evaluate A-share investment opportunities. Adapts the original deal-screening skill for Chinese market data sources, A-share screening criteria, and domestic deal origination. Triggers on "A股标的筛选", "标的筛选", "screening China", "deal screening A-share", "筛选投资标的", or "screen for [criteria]".

Overview

Publisher	jwangkun
Repository	`claude-for-financial-services-cn`
Skill name	`china-deal-screening`
Stars	834
Forks	132
Bundled files	Instructions only
License	Apache-2.0
Links	Skill source Repository

Markdown instructions
A SKILL.md file the model loads on demand, so it only costs tokens when a request actually matches.
Works with any LLM
AI skills are plain Markdown, not provider-specific code, so this works with GPT, Claude, Gemini, Grok, or a local model.
Self-contained
Everything the model needs lives in the instructions — no extra files to sync.
Open source
Published by jwangkun on GitHub. Read the source before you install it.

Installation

Install the China Deal Screening AI skill in TypingMind to use it with any LLM, or drop it into another agent that reads SKILL.md.

Install in TypingMind

TypingMind installs a skill straight from its GitHub folder — it reads SKILL.md, bundles the resource files, and stores the result locally.

Open the app and go to Plugins → Skills.
Choose "Install from GitHub".
Paste the skill folder URL below and confirm.
https://github.com/jwangkun/claude-for-financial-services-cn/tree/main/agent-plugins/china-earnings-reviewer/skills/china-deal-screening
Enable the skill in any chat where you want it available.

Store

Installed

Skills

Add skills

Import one or more skills from a public GitHub folder or a local .skill or .zip archive, or SKILL.md file.

From GitHub URLFrom .skill, .zip, or SKILL.md

GitHub repo or folder

https://github.com/jwangkun/claude-for-financial-services-cn/tree/main/agent-plugins/china-earnings-reviewer/skills/china-deal-screening

Points to a single skill folder, or any folder that contains multiple skills. Public repos only.

CancelContinue

Plugins → Skills → Add skill → From GitHub URL, then paste the folder URL and press Continue.

Install in another agent

Any agent that reads the Agent Skills format can use this skill — copy the folder into that agent's skills directory.

Claude Code — .claude/skills

git clone --depth 1 https://github.com/jwangkun/claude-for-financial-services-cn.git /tmp/claude-for-financial-services-cn
mkdir -p .claude/skills
cp -r /tmp/claude-for-financial-services-cn/agent-plugins/china-earnings-reviewer/skills/china-deal-screening .claude/skills/china-deal-screening

Restart Claude Code after copying so it picks up the new skill.

Use it in TypingMind

Enable China Deal Screening in any TypingMind chat and the model takes it from there. Its name and description sit in the system prompt, and the moment a request matches, the model loads the full instructions itself — you never invoke it by hand, and it costs no tokens until it is actually used.

The model loads China Deal Screening on its own as soon as a request matches it.

Works with any AI model

AI skills are plain Markdown instructions rather than provider-specific code, so China Deal Screening is not tied to the model it was written for. Install it once in TypingMind and use it with GPT-5, Claude, Gemini, Grok, DeepSeek, Mistral, Llama, or a local model you run yourself — all on your own API keys.

Loaded only when it is needed
The system prompt carries just the name and description. The instructions are fetched on the first matching request, so an idle skill costs nothing.
Switch models mid-chat
Because the skill is instructions rather than code, changing model does not break it — the next model reads the same SKILL.md.

Skill instructions

This is the SKILL.md content the model loads. Read it before installing — a skill is instructions your model will follow.

china-deal-screening

Purpose

Screen A股投资标的 — systematic deal screening for Chinese equity investments.

Data Sources

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

python
get_industry_stocks(industry="...")    → Industry universe
get_quote(ticker)                     → Valuation screening
get_financials(ticker, "income")      → Financial screening
get_index_data("000001")              → Market context

Secondary Sources

东方财富 — stock screener
同花顺 iFinD — screening tool
巨潮 — company filings
Wind — professional screening

Workflow

Step 1: Define Screening Criteria

Screening framework:

Category	Criteria	Typical Range
市值 (Market cap)	Min/max	¥50亿 - ¥500亿
估值 (Valuation)	P/E, P/B	P/E 10-30x
成长 (Growth)	Revenue/earnings growth	>15% YoY
盈利 (Profitability)	ROE, margins	ROE >15%
财务健康 (Financial health)	Debt/equity, current ratio	D/E <60%
流动性 (Liquidity)	Avg daily volume	>¥5000万
治理 (Governance)	Ownership structure	Clean cap table

Step 2: Build Screening Universe

Universe construction:

Filter	Criteria	Source
A股主板	600/000/001开头的6位代码	AkShare
创业板	300开头	AkShare
科创板	688开头	AkShare
北交所	8/9开头	AkShare
ST排除	Exclude ST/*ST	Filter
次新股	Exclude <6 months	Filter

Step 3: Financial Screening

Financial metrics:

Metric	Formula	Target
营业收入增速	(Revenue - Revenue_prev) / Revenue_prev	>15%
净利润增速	(NI - NI_prev) / NI_prev	>15%
ROE	Net Income / Average Equity	>15%
毛利率	Gross Profit / Revenue	>30%
净利率	Net Income / Revenue	>10%
资产负债率	Total Debt / Total Assets	<60%
经营现金流/净利润	OCF / Net Income	>0.8

Step 4: Valuation Screening

Valuation metrics:

Metric	Formula	Target
P/E (TTM)	Price / TTM EPS	10-30x
P/B	Price / BV per share	1-5x
P/S	EV / Revenue	1-5x
EV/EBITDA	EV / EBITDA	5-15x
PEG	P/E / Growth rate	<1.0
股息率	Dividend / Price	>2% (if applicable)

Step 5: Technical Screening (Optional)

Technical filters:

Indicator	Criteria
股价位置	Not at 52-week high
均线	Above key MAs
成交量	Above average
波动率	Moderate

Step 6: Quality Screening

Quality filters:

Factor	Check
审计意见	Standard unqualified (标准无保留)
管理层	Stable, experienced
股东结构	No 质押风险 (pledge risk)
关联交易	Reasonable level
诉讼/处罚	No material issues

Step 7: Scoring & Ranking

Scoring model:

Category	Weight	Score (1-10)	Weighted
估值吸引力	25%
成长性	20%
盈利能力	20%

| 财务健康 | 15% | | | | 质量/治理 | 10% | | | | 流动性 | 10% | | | | Total | 100% | | |

Rank candidates by total score.

Step 8: Due Diligence Queue

Create DD pipeline:

Rank	Score	Next Step
1	X.X	Full DD
2	X.X	Quick scan
3	X.X	Quick scan

Screening Templates

Template 1: Growth at Reasonable Price (GARP)

Filter	Criteria
P/E	10-25x
Revenue growth	>20%
ROE	>15%
D/E	<50%
Market cap	>¥100亿

Template 2: Deep Value

Filter	Criteria
P/B	<1.5x
Dividend yield	>3%
D/E	<40%
FCF	Positive
Business	Stable, understandable

Template 3: Quality Compounder

Filter	Criteria
ROE	>20% (3Y avg)
Revenue growth	>15%
Gross margin	>40%
D/E	<40%
Market cap	>¥200亿

Template 4: Turnaround Candidate

Filter	Criteria
Recent loss	1-2 years
Revenue trough	Near bottom
New management	Recent change
Restructuring	In progress
Industry recovery	Improving

China-Specific Screening Considerations

Market Structure

Factor	Impact on Screening
散户主导	Retail sentiment matters
政策驱动	Policy changes create opportunities
概念/题材	Theme investing common
北向资金	Foreign flows signal quality
机构持仓	Institutional ownership

Common A-share Screening Pitfalls

Pitfall	Issue	Mitigation
一次性收益	Distorts growth/earnings	Use 扣非数据
会计政策	Aggressive recognition	Check notes
关联交易	Inflated revenue	Review disclosures
大股东质押	Pledge risk	Check 质押比例
ST风险	Delisting risk	Exclude ST stocks

Quality Checks

Before finalizing:

Data Source Mode Switch: Set env var IFIND_DATA_SOURCE_MODE to control data source preference.

ifind-only (strict): Use iFind only, error if unavailable

ifind-fallback (default): iFind preferred, fallback to AkShare

akshare-only: Skip iFind, use AkShare only

Frequently asked questions

What does the China Deal Screening AI skill do?

Why use China Deal Screening on TypingMind?

Because you install it once and use it with any model. China Deal Screening is plain Markdown rather than provider-specific code, so the same skill runs on GPT-5, Claude, Gemini, Grok, or a local model — and you can switch model mid-chat without it breaking. TypingMind runs on your own API keys, so you pay providers directly instead of a per-seat subscription, and your skills and chats stay in your own storage.

How do I install China Deal Screening in TypingMind?

Open Plugins → Skills → Install from GitHub in TypingMind and paste https://github.com/jwangkun/claude-for-financial-services-cn/tree/main/agent-plugins/china-earnings-reviewer/skills/china-deal-screening. TypingMind reads its SKILL.md and installs it as a skill you can enable per chat.

Which AI models can use China Deal Screening?

Any model you connect in TypingMind. AI skills are plain Markdown instructions rather than provider-specific code, so GPT, Claude, Gemini, Grok, and local models can all load this skill when a request matches it.

How many AI models can I use with China Deal Screening?

As many as you like. As long as a model supports skills, you can use China Deal Screening with it — GPT, Claude, Gemini, Grok, DeepSeek, Mistral, Llama and more — all on TypingMind with your own API keys.

Is the China Deal Screening AI skill free?

Yes. It is published on GitHub by jwangkun under the Apache-2.0 license. You only pay your own AI provider for the tokens you use.

What are AI skills?

An AI skill is a reusable instruction bundle that teaches an AI model how to do one specific task. It follows the open Agent Skills format: a SKILL.md file with a name and description, plus any scripts, templates or reference files the model may need. The model reads the instructions only when your request matches the skill, so an installed skill costs nothing until it is used.

How are AI skills different from plugins or MCP servers?

A plugin or MCP server gives a model new tools to call — code that runs somewhere and returns a result. An AI skill gives the model knowledge and process instead: how to approach a task, which steps to follow, what good output looks like. Skills are plain Markdown, so they need no server, no API key and no runtime, and they work with any model.

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Overview

Installation

Install in TypingMind

Install in another agent

Use it in TypingMind

Works with any AI model

Skill instructions

china-deal-screening

Purpose

Data Sources

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

Secondary Sources

Workflow

Step 1: Define Screening Criteria

Step 2: Build Screening Universe

Step 3: Financial Screening

Step 4: Valuation Screening

Step 5: Technical Screening (Optional)

Step 6: Quality Screening

Step 7: Scoring & Ranking

Step 8: Due Diligence Queue

Screening Templates

Template 1: Growth at Reasonable Price (GARP)

Template 2: Deep Value

Template 3: Quality Compounder

Template 4: Turnaround Candidate

China-Specific Screening Considerations

Market Structure

Common A-share Screening Pitfalls

Quality Checks

Frequently asked questions

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