Agent skill

Sentiment Reality Gap

by Geeksfino in Geeksfino/finskills

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。

Apache-2.0Auto-check passedBusiness, Finance & HR

Install Sentiment Reality Gap

skills CLI
$ npx skills add Geeksfino/finskills --skill sentiment-reality-gap -a claude-code

Project install by default; add -g for ~/.claude/skills/.

GitHub CLI
$ gh skill install Geeksfino/finskills sentiment-reality-gap --agent claude-code

Project scope by default; add --scope user for a personal install. Needs GitHub CLI 2.90.0 or later (public preview).

Manual copy
$ git clone --depth 1 https://github.com/Geeksfino/finskills.git skills-src && mkdir -p .claude/skills && cp -r skills-src/China-market/sentiment-reality-gap .claude/skills/sentiment-reality-gap && rm -rf skills-src

Use ~/.claude/skills/ instead of .claude/skills for a personal install. The folder must contain SKILL.md.

Claude Code skills documentation · loads skills from .claude/skills/

Facts

Skill name
sentiment-reality-gap
GitHub stars
282
Token cost
~499 tokens
SKILL.md length
99 words
Files
4 (incl. references)
Skills in repo
30
Repo updated
First seen
Licence
Apache-2.0

At a glance

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。

  • Works in 4 steps: 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 → …
  • Business, Finance & HR work in your project
  • SKILL.md covers 工作流程, 数据增强 and 重要注意事项
  • Instructions only: no scripts, shell commands, URLs or credentials in SKILL.md

What it does

Sentiment Reality Gap is an agent skill from Geeksfino/finskills. 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。

Its SKILL.md is about 500 tokens, which your agent loads only when the skill is triggered. The skill folder holds 4 other files, including reference files (for example `references/gap-analysis-methodology.md` and `references/output-template.md`).

It sits in Business, Finance & HR. The repository describes itself as: Financial engineering and risk/compliance skills for agents. The licence is Apache-2.0.

When your agent uses it

  • Business, Finance & HR work in your project

Example prompts

  • “/sentiment-reality-gap”

Workflow steps

4 steps, taken from the first numbered list in SKILL.md.

  1. 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)
  2. 下跌阈值 — 默认:近6个月下跌≥20%或显著跑输行业指数
  3. 结果数量 — 默认:5只
  4. 排除条件 — 是否排除特定板块(如ST、次新股)

What it can do on your machine

Read from SKILL.md and the folder at commit 8722415. It shows what the files ask for, not the result of running them.

  • Tool permissions

    Pre-approves nothing: there is no allowed-tools line, so your agent's usual permission prompts apply.

    From allowed-tools in the SKILL.md frontmatter.

  • Runs code

    No scripts in the folder and no shell commands in SKILL.md.

    From the folder's file list and the shell code blocks in SKILL.md.

  • Network

    No URLs in SKILL.md.

    From URLs in SKILL.md, links to its own repository left out.

  • Credentials

    Names no API keys, tokens, secrets or passwords.

    From names ending in _API_KEY, _TOKEN, _SECRET, _KEY or _PASSWORD in SKILL.md.

Context cost

Sentiment Reality Gap loads about 499 tokens when it runs, and up to ~3.4k if it reads all its reference files. Until then it costs about 29 tokens; SKILL.md has 99 words of instructions outside code blocks.

Always · name and description, kept in context so the agent knows when to use it
~29
When it runs · the whole SKILL.md, loaded when a task matches
~499
With references · SKILL.md plus every file in references/, read only if the agent opens them
~3.4k

Estimates: characters ÷ 4, the usual rule of thumb; real counts depend on the model's tokenizer. Scripts and assets cost tokens only if the agent reads them.

Safety

Auto-check passed

The automated check found no risky patterns in SKILL.md.

Automated static check — not a guarantee. Review scripts before installing. It scans the text of SKILL.md for risky patterns (piping downloads into a shell, reading credential files, hidden Unicode, destructive commands); files beside SKILL.md are not scanned.

SKILL.md

The full file from Geeksfino/finskills at commit 8722415, republished under its Apache-2.0 licence (© Geeksfino). 99 words, ~499 tokens.

Download SKILL.mdSave it as .claude/skills/sentiment-reality-gap/SKILL.md (or your agent's skills folder). This skill also uses 3 other files; get the full folder from GitHub.
name
sentiment-reality-gap
description
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。
license
Apache-2.0

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:

  1. 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)
  2. 下跌阈值 — 默认:近6个月下跌≥20%或显著跑输行业指数
  3. 结果数量 — 默认:5只
  4. 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。

© Geeksfino, Apache-2.0. Rendered from Markdown: HTML in the file is shown as text, images as links, and headings moved down two levels. Raw file

Files

SKILL.md and 3 other files (references) in China-market/sentiment-reality-gap of Geeksfino/finskills.

  • SKILL.md
  • LICENSE.txt
  • references/gap-analysis-methodology.md
  • references/output-template.md

Open the folder on GitHubat commit 8722415

Compare with similar skills

Sentiment Reality Gap next to the 5 skills that share the most tags, products or categories with it. Stars are the repository's; “used in” counts other GitHub owners with a copy.

Sentiment Reality Gap compared with similar skills
SkillStarsUsed inTokensAuto-checkLicenceRepo updated
Sentiment Reality Gap this skillGeeksfino/finskills282—~499Automated safety check: PassApache-2.0
Technical Analysttradermonty/claude-trading-skills3k4 repos~4.6kAutomated safety check: PassMIT
Theme Detectortradermonty/claude-trading-skills3k2 repos~4.9kAutomated safety check: PassMIT
Creating Financial ModelsChen-zexi/open-ptc-agent7293 repos~1.3kAutomated safety check: PassMIT
Stock APIzhangxiangliang/stock-api2k—~507Automated safety check: PassMIT
Itr Walakaranb192/itr-wala871—~3.6kAutomated safety check: PassMIT

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Questions about Sentiment Reality Gap

What does Sentiment Reality Gap do?

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。. Sentiment Reality Gap is an agent skill from Geeksfino/finskills.

When should I use Sentiment Reality Gap?

Sentiment Reality Gap fits situations like: business, Finance & HR work in your project.

How do I install Sentiment Reality Gap in Claude Code?

Run `npx skills add Geeksfino/finskills --skill sentiment-reality-gap -a claude-code`. Or copy the skill folder (China-market/sentiment-reality-gap in Geeksfino/finskills) into .claude/skills/sentiment-reality-gap in your project. Claude Code loads it when a task matches its description.

How do I install Sentiment Reality Gap in Codex?

Run `npx skills add Geeksfino/finskills --skill sentiment-reality-gap -a codex`. Or copy the skill folder (China-market/sentiment-reality-gap in Geeksfino/finskills) into .agents/skills/sentiment-reality-gap in your project. Codex loads it when a task matches its description.

Can I use Sentiment Reality Gap in Cursor, Gemini CLI or GitHub Copilot?

Cursor, Gemini CLI, GitHub Copilot and OpenCode also load SKILL.md folders. With the skills CLI, run `npx skills add Geeksfino/finskills --skill sentiment-reality-gap -a cursor` (or -a gemini-cli, github-copilot or opencode for the others). To copy it by hand, put the folder in .cursor/skills/sentiment-reality-gap, .gemini/skills/sentiment-reality-gap, .github/skills/sentiment-reality-gap and .opencode/skills/sentiment-reality-gap in your project.

What does Sentiment Reality Gap need to run?

SKILL.md names no scripts, command-line tools or credentials: Sentiment Reality Gap is instructions for the agent only.

Does Sentiment Reality Gap access the network?

SKILL.md contains no URLs. Any network use would come from the scripts or tools the agent runs. This is read from the text; nothing was executed.

Is Sentiment Reality Gap safe to install?

Our automated static check of SKILL.md found no risky patterns, such as piping downloads into a shell, reading credential files or hidden Unicode. It is not a guarantee. Review the folder before installing.

What licence does Sentiment Reality Gap use?

Sentiment Reality Gap is published under the Apache-2.0 licence (declared in SKILL.md). It allows redistribution, so the full SKILL.md is shown on this page.

How many tokens does Sentiment Reality Gap use?

About 499 tokens (SKILL.md is roughly 2k characters). Agents keep only the skill's name and description in context until a task matches; then they load SKILL.md in full. Its references folder adds about 2.9k tokens, read only when the agent opens those files.

What are the alternatives to Sentiment Reality Gap?

Skills that share tags, products or a category with Sentiment Reality Gap: Technical Analyst (tradermonty/claude-trading-skills, 3k stars), Theme Detector (tradermonty/claude-trading-skills, 3k stars), Creating Financial Models (Chen-zexi/open-ptc-agent, 729 stars) and Stock API (zhangxiangliang/stock-api, 2k stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.

Who maintains Sentiment Reality Gap?

Geeksfino (a GitHub user) maintains it in Geeksfino/finskills, which has 282 GitHub stars. The repository holds 30 skills in this directory. The repository was last updated on March 5, 2026.

Source: Geeksfino/finskills on GitHub. Facts on this page come from the repository at the commit we read; the author's words are quoted as theirs.