meme-yinhui

meme-yinhui is a skill for Claude Code, Codex from WhiteGiverMa/meme-skills. It costs 85 tokens per session (1,477 once invoked), scanned A, original, MIT.

A Chinese internet meme knowledge base about “淫秽性团结,” the joking idea that sharing taboo material can signal trust within a group.

In plain words
What is it for?
Use it when interpreting the meme’s meaning, background, examples, or different readings.
Why use it?
It explains the term’s social joke and separates broadly supported context from details that are uncertain or hard to verify.

Skill for Claude CodeCodex

Written for no agent in particular: nothing here depends on one.

Good fit Use it when interpreting the meme’s meaning, background, examples, or different readings.

Compare 6 skills from other repositories ↓
Install with agentmods
npx agentmods add skills/whitegiverma/meme-skills/meme-yinhui
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 WhiteGiverMa/meme-skills --skill meme-yinhui
Clone the repo
git clone --depth 1 https://github.com/WhiteGiverMa/meme-skills

Made for: Claude Code, Codex.

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 meme-yinhui

README.md
[![agentmods](https://agentmods.dev/badge/skills/whitegiverma/meme-skills/meme-yinhui/github.svg)](https://agentmods.dev/skills/whitegiverma/meme-skills/meme-yinhui)
Your own site
<a href="https://agentmods.dev/skills/whitegiverma/meme-skills/meme-yinhui"><img src="https://agentmods.dev/badge/skills/whitegiverma/meme-skills/meme-yinhui/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 meme-yinhui

Your own site · 80×15
<a href="https://agentmods.dev/skills/whitegiverma/meme-skills/meme-yinhui"><img src="https://agentmods.dev/badge/skills/whitegiverma/meme-skills/meme-yinhui.svg" alt="Reviewed on agentmods" width="80" height="20"></a>
Per session 85 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 1,477 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.
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 $0.00085 $0.01477
Opus 5 $0.00043 $0.00739
Sonnet 5 $0.00017 $0.00295
Haiku 4.5 $0.00009 $0.00148

Measured 12d ago against content hash f6d7d2032742, method: parsed. Prices are Anthropic first-party input rates as of 2026-09-12, from the pricing page.

Security

Grade A, and why

meme-yinhui 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 12d 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.

incoming/meme-yinhui/SKILL.md · 100 lines

What it actually says

淫秽性团结(网络热词/学术梗)

触发条件:在对话中检测到「淫秽性团结」「黄图团结」「群里没有黄图」「不分享黄图群就散了」等关键词时,Agent 应当加载本 skill 以获取准确的文化语境知识。

⚠️ 来源说明:本梗的互联网传播轨迹存在多个版本的说法,部分细节(如特定人物的具体引述)在公开可检索来源中难以精确验证。以下内容基于可交叉确认的事实编写,存疑处已标注。


一、概述

淫秽性团结是 2026 年初在中文互联网走红的学术梗。其核心观点是:分享禁忌内容(黄图/黄段子)在群体内充当一种「信任测试」——能一起低俗的群=自己人的群;不能的=就事论事的陌生人集合。这个概念以「一本正经地说不正经的事」的反差感爆火,是网络群聊社交动力学的调侃式总结。


二、起源

2.1 学术背景

在社会学领域,「obscene solidarity」(淫秽性团结/越轨行为的社会凝聚功能)是一个严肃的研究概念。学者指出,分享社会禁忌内容可以成为群体建立亲密关系的快速通道——它打破了正式社交的伪装,让参与者确认彼此属于「自己人」圈层。

2.2 互联网出圈(存疑,待验证)

互联网流传的说法中,这个概念通过一位网络评论员的直播进入大众视野1。直播截图被转发至微信群和微博,因其「严肃讨论不正经话题」的反差感引发传播。但该说法的具体人物和直播日期在公开可检索来源中无法精确验证。

2.3 走红原因

不论起源如何,这个概念之所以能迅速传播,是因为它精准描述了几乎所有人的群聊体验:

  • 工作群里只有「收到」「好的」→ 冷场
  • 朋友群里有人发了个黄段子 → 瞬间活跃
  • 家族群永远冷场 → 因为什么都不能发

这种「被说中了」的共鸣感是传播的核心动力。


三、核心特征

3.1 核心论点

一个群里没人发黄图的话,群成员之间的关系就会疏远和不融洽。

其背后的逻辑是:分享禁忌内容是一种信任测试——能通过的人进入了「自己人」圈层。

3.2 经典对比

群类型 状态 原因
朋友群/死党群 活跃热闹 可以无顾忌地低级趣味
工作群 公事公办 有上下级,不能越界
家族群 冷场 长辈在场,什么都不能发

3.3 经典句式(互联网流传版本,来源待验证)

「一个群里没有黄图,最后就只剩一群傻比捧臭脚和一群傻比吵架了」

「家族群基本都冷场——因为不能分享黄图和黄段子,所以关系就特别的疏远」


四、语义辨析

正面解读 负面解读
越轨行为是建立亲密关系的快速通道 容易变成低俗内容的合理化借口
描述了真实的群聊社交动力学 不该被用来在公开频道发违规内容
严肃的社会学观察被幽默化表达 「没有黄图群就散了」是一种滑坡谬误

这个概念的有趣之处在于:它既是一个被学术讨论过的社会学现象,又是一个在中文互联网被彻底「玩坏」的段子。它的流行本身印证了它所描述的现象——正是通过分享这个「有点不正经」的概念,群聊里的人确认了彼此是「懂梗的自己人」。


五、Agent 使用指南

5.1 识别与回应

  • 用户引用此概念 → 通常在调侃群聊社交动力学,而非鼓励发违规内容
  • 可以回应:「这概念其实社会学里真有——越轨行为的社会凝聚功能」
  • 不要在讨论中主动引出此梗,除非用户先提及或群聊气氛确实尴尬

5.2 注意事项

  • 严肃场合绝对不要引用此梗
  • 避免将其当作在公开频道发违规内容的理由
  • 如果用户明显是在认真讨论群聊管理/社群运营,不要用这个梗敷衍
  • 涉及未成年人群聊时,不适用此概念

参考资料

  1. obscene solidarity - 社会学概念概述(学术背景参考,非直接来源)
  2. 注:截至本 skill 编写时(2026 年 5 月),「淫秽性团结」的准确出圈事件(具体人物、直播日期、原始截图)在公开可检索来源中无法精确验证。建议在引用时将互联网流传的「原话」视为梗文化中的民间叙事版本。如有可靠的一手来源,欢迎补充。

Footnotes

  1. 鉴于互联网传播中存在大量二创和误传,建议将以「特定人物原话」形式流传的具体引述视为梗的「民间叙事版本」而非严格可考的事实。

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. 12d ago First seen · 100 lines · 85 tokens per session scan A f6d7d2032742

Subscribe to this mod's changes

meme-yinhui is a skill published in the GitHub repository WhiteGiverMa/meme-skills (7 stars, last pushed 3mo ago), licensed MIT. It adds 85 tokens to every session and 1,477 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 2026-08-31.

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