Undervalued Stock Screener

Q: Why use Undervalued Stock Screener on TypingMind?

Because you install it once and use it with any model. Undervalued Stock Screener 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.

Q: How do I install Undervalued Stock Screener in TypingMind?

Open Plugins → Skills → Install from GitHub in TypingMind and paste https://github.com/Geeksfino/finskills/tree/main/China-market/undervalued-stock-screener. TypingMind reads its SKILL.md and bundles its files and installs it as a skill you can enable per chat.

Q: Which AI models can use Undervalued Stock Screener?

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.

Q: How many AI models can I use with Undervalued Stock Screener?

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

Q: Is the Undervalued Stock Screener AI skill free?

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

Q: 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.

Q: 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.

Community

Geeksfino

undervalued-stock-screener

扫描A股市场，筛选基本面强劲但市值被低估的上市公司。当用户询问低估值股票、价值投资筛选、A股便宜股票、低PE或低PB公司、基本面强但被低估的公司、或要求运行估值筛选器时使用此技能。

Overview

Publisher	Geeksfino
Repository	`finskills`
Skill name	`undervalued-stock-screener`
Stars	285
Forks	45
Bundled files	2
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.
2 bundled files
Scripts, templates, and references the model can read while it works. Files are read-only and never executed.
Open source
Published by Geeksfino on GitHub. Read the source before you install it.

Installation

Install the Undervalued Stock Screener 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/Geeksfino/finskills/tree/main/China-market/undervalued-stock-screener
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/Geeksfino/finskills/tree/main/China-market/undervalued-stock-screener

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/Geeksfino/finskills.git /tmp/finskills
mkdir -p .claude/skills
cp -r /tmp/finskills/China-market/undervalued-stock-screener .claude/skills/undervalued-stock-screener

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

Use it in TypingMind

Enable Undervalued Stock Screener 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 Undervalued Stock Screener 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 Undervalued Stock Screener 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.

低估值股票筛选器

扮演专业的权益研究分析师。扫描A股市场，筛选出基本面强劲但被市场低估的上市公司。

工作流程

第一步：确定参数

与用户确认：

筛选范围 — 全市场、特定申万一级行业、主板/创业板/科创板/北交所、或自定义股票池
市值范围 — 无限制（默认）、大盘（>500亿）、中盘（100–500亿）、小盘（<100亿）
结果数量 — 默认：10家
侧重点 — 综合评估（默认）、深度价值（低PB导向）、成长价值（PEG导向）、红利价值

默认参数：全市场、无市值限制、10家、综合评估。

第二步：应用筛选条件

对全部候选股票应用以下筛选条件。详细标准参见 references/screening-methodology.md。

筛选条件	标准
PE估值	滚动PE低于所属申万行业中位数
PB估值	PB低于所属行业中位数（配合ROE筛选）
营收与利润增长	近3–5年营收和归母净利润复合增长率为正
资产负债率	低于行业中位数（金融行业除外）
自由现金流	正值且近3年累计为正
ROIC/ROE	ROE高于行业平均水平

自动排除：ST/*ST公司、上市不满2年的公司、近12个月净利润为负的公司。

第三步：深度分析

对通过筛选的股票逐一分析。关注：

业务概述 — 主营业务、竞争优势（护城河）、行业地位
低估原因分析 — 为什么市场给出了低估值
核心风险 — 可能使低估合理化的因素
估值区间估计 — 基于多种方法的合理估值范围

第四步：编制报告

以结构化报告呈现，格式参见 references/output-template.md。

筛选条件摘要

条件	过滤目的	A股特殊考量
PE < 行业中位数	排除过度溢价公司	A股整体PE中枢高于成熟市场，使用行业相对法
PB < 行业中位数	识别资产折价	银行/地产PB长期破净需额外判断
营收/利润正增长	排除衰退中的"价值陷阱"	关注扣非净利润（排除一次性损益）
低资产负债率	排除财务风险	金融行业需使用行业专属指标
正自由现金流	确认盈利质量	高应收账款/存货的公司需警惕
高ROE/ROIC	确认资本效率	关注杜邦分析，区分高杠杆驱动vs真实盈利能力

数据增强

如需实时市场数据支撑分析，请使用金融数据工具包技能（findata-toolkit-cn）。该工具包提供A股实时行情、财务指标、董监高增减持、北向资金、宏观数据等功能，所有数据源免费，无需API密钥。

重要注意事项

A股估值中枢偏高：A股历史估值中枢高于美股等成熟市场（部分因审批制/注册制初期供给不足），因此使用行业相对估值法更为适用。
扣非净利润：A股公司非经常性损益项目（政府补贴、投资收益、资产处置）较多，应使用扣非后净利润评估持续盈利能力。
壳价值与注册制：注册制全面推行后壳价值逐渐下降，传统的"小盘股溢价"正在消退。
行业差异极大：银行PB长期在0.5–0.8x不代表低估（可能反映资产质量担忧），科技行业高PE可能合理（高增长预期）。须在行业内部比较。
国企vs民企：国企可能存在"国企折价"（治理效率担忧），但近年国企改革正在缩小这一差距。
非投资建议：低估值筛选仅为信息整理工具，不构成投资建议。"便宜"不等于"值得买"。

Bundled files

The model reads these on demand while the skill is loaded. They are exposed as readable files and are never executed.

Frequently asked questions

What does the Undervalued Stock Screener AI skill do?

Why use Undervalued Stock Screener on TypingMind?

Because you install it once and use it with any model. Undervalued Stock Screener 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 Undervalued Stock Screener in TypingMind?

Open Plugins → Skills → Install from GitHub in TypingMind and paste https://github.com/Geeksfino/finskills/tree/main/China-market/undervalued-stock-screener. TypingMind reads its SKILL.md and bundles its files and installs it as a skill you can enable per chat.

Which AI models can use Undervalued Stock Screener?

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 Undervalued Stock Screener?

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

Is the Undervalued Stock Screener AI skill free?

Yes. It is published on GitHub by Geeksfino 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.

View all

Evm

NousResearch

OrganizationPopular

Read-only EVM client: wallets, tokens, gas across 8 chains.

Excel Author

Build auditable financial workbooks headless via openpyxl.

Merger Model

Build M&A accretion/dilution workbooks in Excel.

Polymarket

Query Polymarket: markets, prices, orderbooks, history.

Overview

Installation

Install in TypingMind

Install in another agent

Use it in TypingMind

Works with any AI model

Skill instructions

低估值股票筛选器

工作流程

第一步：确定参数

第二步：应用筛选条件

第三步：深度分析

第四步：编制报告

筛选条件摘要

数据增强

重要注意事项

Bundled files

Frequently asked questions

Related AI Skills

Set up your own AI workspace now