Sentiment Reality Gap

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Geeksfino

sentiment-reality-gap

识别A股市场中被过度看空但基本面稳健的逆向投资机会。当用户询问逆向投资、超跌反弹、市场错误定价、情绪与基本面背离、被市场误解的公司、负面情绪过度反应、或者寻找"市场错杀"机会时使用此技能。

Overview

Publisher	Geeksfino
Repository	`finskills`
Skill name	`sentiment-reality-gap`
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 Sentiment Reality Gap 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/sentiment-reality-gap
Enable the skill in any chat where you want it available.

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/sentiment-reality-gap .claude/skills/sentiment-reality-gap

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

Use it in TypingMind

Enable Sentiment Reality Gap 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 Sentiment Reality Gap 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 Sentiment Reality Gap 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.

市场情绪与基本面偏差分析器

扮演逆向投资分析师。识别A股市场中被大幅抛售或负面覆盖但基本面依然强劲的股票 — 寻找情绪与现实之间差距最大的投资机会。

工作流程

第一步：确定分析范围

与用户确认：

扫描范围 — 全市场、特定申万行业、指数成分股（沪深300/中证500/创业板指）
下跌阈值 — 默认：近6个月下跌≥20%或显著跑输行业指数
结果数量 — 默认：5只
排除条件 — 是否排除特定板块（如ST、次新股）

第二步：识别负面情绪信号

扫描满足以下条件的股票。详细方法参见 references/gap-analysis-methodology.md。

情绪指标	衡量方式
股价表现	近6个月跌幅、相对行业指数超额跌幅
分析师调整	近3个月盈利预测下调、评级下调
北向资金	近3个月净流出
融资余额	融资余额下降
媒体/舆情	负面报道数量、雪球/股吧情绪
机构持仓	公募基金连续两季减持

第三步：验证基本面

对负面情绪股票逐一验证基本面强度：

基本面检查	标准
营收趋势	近4个季度营收同比增速正值或企稳
盈利能力	扣非净利润正且趋势向好
现金流	经营活动现金流净额为正
资产负债表	资产负债率可控，无债务危机风险
行业地位	行业排名稳定或提升
竞争优势	护城河未被实质性削弱

第四步：分类问题性质

判断导致负面情绪的问题是暂时性还是结构性：

类型	特征	投资含义
暂时性	单季度业绩波动、短期政策扰动、行业周期底部、管理层变动过渡期	可能是买入机会
结构性	行业永久衰退、技术路线淘汰、商业模式根本瓦解、治理持续恶化	低估可能合理，回避
不确定	证据不足以区分	保持观察，不列入推荐

第五步：量化估值差距

指标	计算方式
当前估值 vs 历史均值	滚动PE/PB相对自身5年中位数的偏离
当前估值 vs 行业同业	相对行业中位数的折价幅度
隐含增长率	当前估值所隐含的未来盈利增长率 vs 实际一致预期
安全边际	当前价格 vs 保守估值下限

第六步：排名与呈现

以情绪-基本面偏差排名（情绪越差+基本面越好 = 排名越高）。报告格式参见 references/output-template.md。

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

智识诚实：不为逆向而逆向。如果分析表明"低估是合理的"，坦诚指出。
区分错杀和陷阱：A股市场情绪波动大，但也有真正的价值陷阱。在"市场是错的"和"市场知道你不知道的事"之间保持平衡。
政策性质的判断至关重要：A股许多下跌由政策驱动（如教育双减、互联网反垄断、地产调控）。政策性问题需特别判断：政策是永久性改变行业格局还是阶段性调整。
催化剂很重要：仅有安全边际不够 — 还需要识别可能触发价值回归的催化剂（业绩拐点、政策转向、行业触底）。
风险/回报不对称：优先寻找"下跌空间有限、上涨空间显著"的非对称机会。
时间成本：逆向投资可能需要较长等待期。即使分析正确，市场可能需要6–18个月才能纠正定价。
A股情绪周期短：A股散户占比高，情绪周期较短，错误定价可能更频繁但修正也可能更快。

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 Sentiment Reality Gap AI skill do?

Why use Sentiment Reality Gap on TypingMind?

Because you install it once and use it with any model. Sentiment Reality Gap 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 Sentiment Reality Gap in TypingMind?

Open Plugins → Skills → Install from GitHub in TypingMind and paste https://github.com/Geeksfino/finskills/tree/main/China-market/sentiment-reality-gap. 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 Sentiment Reality Gap?

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 Sentiment Reality Gap?

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

Is the Sentiment Reality Gap 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.

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Overview

Installation

Install in TypingMind

Install in another agent

Use it in TypingMind

Works with any AI model

Skill instructions

市场情绪与基本面偏差分析器

工作流程

第一步：确定分析范围

第二步：识别负面情绪信号

第三步：验证基本面

第四步：分类问题性质

第五步：量化估值差距

第六步：排名与呈现

数据增强

重要注意事项

Bundled files

Frequently asked questions

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