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.
npx skills add WhiteGiverMa/meme-skills --skill meme-diaochabingtuangit clone --depth 1 https://github.com/WhiteGiverMa/meme-skillsWrote 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.
[](https://agentmods.dev/skills/whitegiverma/meme-skills/meme-diaochabingtuan)<a href="https://agentmods.dev/skills/whitegiverma/meme-skills/meme-diaochabingtuan"><img src="https://agentmods.dev/badge/skills/whitegiverma/meme-skills/meme-diaochabingtuan/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.
<a href="https://agentmods.dev/skills/whitegiverma/meme-skills/meme-diaochabingtuan"><img src="https://agentmods.dev/badge/skills/whitegiverma/meme-skills/meme-diaochabingtuan.svg" alt="Reviewed on agentmods" width="80" height="20"></a>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.
| Model | Per session | Once invoked |
|---|---|---|
| Fable 5.1 | $0.00092 | $0.03312 |
| Opus 5 | $0.00046 | $0.01656 |
| Sonnet 5 | $0.00018 | $0.00662 |
| Haiku 4.5 | $0.00009 | $0.00331 |
Grade A, and why
meme-diaochabingtuan 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.
How it starts
The opening of the file, as written. The whole thing — 166 lines — stays where its author put it; the contents beside it link to each section on GitHub.
公厕调查兵团 / 厕所调查兵团（网络迷因）
触发条件：在对话中检测到「调查兵团」「公厕调查兵团」「厕所调查兵团」「献出膀胱」「厕所先烈」「cityshit」「公厕战报」等关键词，或在城市找厕所失败的窘境下讨论地图导航时，Agent 应当加载本 skill。
一、概述
公厕调查兵团（又称「厕所调查兵团」）是 2025-2026 年在中文互联网爆火的荒诞迷因。它将《进击的巨人》中「调查兵团」的悲壮叙事——献出心脏、壁外调查、为人类自由而战——嫁接到普通人用地图 App 在城市中寻找公共厕所的日常窘境中。
在这个梗的叙事体系里：按导航找到「假公厕」（已关闭/不存在/脏到无法使用）的倒霉路人，被比喻为在厕所战争中「牺牲的调查兵团员」；他们在地图 App 留下的差评，则被视为用尊严和膀胱换来的「情报」。该梗与「citywalk」派生的「cityshit（城屎漂流）」概念呼应，共同构成 2025-2026 年中国互联网「厕所文学」的核心篇章。
二、起源
2.1 社会背景
中国城市中公共厕所数量足够但质量参差不齐。地图 App 的 POI 数据更新严重滞后，大量标注为「公共厕所」的地点实际已关闭、不对外开放或卫生条件极差。随着高德地图、百度地图等允许用户对地点进行评价和上传照片，厕所差评逐渐成为一种独特的网络文本体裁。
2.2 关键时间线
| 时间 | 事件 |
|---|---|
| 2023年11月 | 「川西拉屎攻略」登上热搜，网友细致标注川西沿线厕所位置和卫生状况，被视为厕所调查的远古先声 |
| 2024年5月 | 电视剧《我的阿勒泰》热播，当地公厕卫生问题引发全网讨论——「去阿勒泰旅游的人膀胱快炸了」登上热搜 |
| 2024年6月 | 中国江苏网发表评论文章「'诗和远方'的路上，'厕评'为何能火？」，正式将「厕所评价」作为社会现象讨论 |
| 2025年初 | 豆瓣小组出现「团兵厕」等厕所相关讨论，网友开始像猎人一样在地图上搜索和评价公厕 |
| 2025年12月 | 豆瓣帖「调查兵团来了」将找公厕行为与《进击的巨人》调查兵团正式关联，梗的叙事框架确立 |
| 2026年5月13日 | 网易号文章「千万网友组成最悲壮调查兵团，全死在了各大地图APP的假公厕门前」引爆全网，阅读量破千万 |
| 2026年5月15日 | 网易姬发布「'调查兵团'的痛苦，为何成为网友的笑料？」系统性梳理该梗，引发二次传播高峰 |
2.3 命名来源
调查兵团是《进击的巨人》中的核心军事组织，以披风上「自由之翼」为标志，口号是「献出心脏」（心臓を捧げよ）。他们负责壁外调查，直面巨人，死亡率极高，但每一次出征都为人类带回珍贵的情报。
网友将「在地图上搜索厕所 → 按导航前往 → 发现是假厕所 → 憋着尿绝望地寻找下一个 → 在地图上留下差评警告后人」这一完整行为链，精准对应调查兵团的「壁外出征 → 遭遇巨人 → 阵亡 → 为后人留下情报」。这种将宏大叙事嫁接到日常琐事的错位，构成了该梗的核心幽默机制。
三、核心特征
3.1 经典「战报」类型
在地图 App 的厕所评论区，形成了以下几种经典文本类型：
| 类型 | 描述 | 经典评价 |
|---|---|---|
| 消失型 | 导航到达后空地一片，厕所根本不存在 | 「根本不开放」「原地消失了」「这他妈是空地不是厕所」 |
| 闭门型 | 厕所近在眼前但大门紧锁 | 「自由之翼变成了闭门羹」「厕所就在眼前却进不去——这就是艾伦看着他妈被吃了的感觉」 |
| 脏到窒息型 | 厕所存在且开放，但卫生条件令人崩溃 | 「比巨人的嘴还臭」「进去需要一生去治愈」「建议直接献出心脏别献出膀胱了」 |
| 叛徒型 | 明明有厕所却被管理员告知「不对外开放」 | 「叛徒！」「莱纳，你坐啊！（指坐不上马桶）」 |
| 幸存型 | 成功找到可用厕所，留下详细攻略 | 被尊称为「利威尔兵长」「艾尔文团长」，评论获赞无数 |
3.2 核心比喻体系
| 巨人的世界 | 现实世界 |
|---|---|
| 调查兵团 | 用地图找厕所的普通人 |
| 壁外调查 / 出征 | 按导航寻找公厕 |
| 巨人 | 假厕所 / 脏厕所 / 已关闭厕所 |
| 献出心脏（心臓を捧げよ） | 憋着尿冲向下一个厕所 → 献出膀胱 |
| 阵亡 | 到地方发现厕所不能用，绝望离去 |
| 留下情报 | 在地图 App 留下差评警告后人 |
| 自由之翼 | 成功找到好厕所，把攻略分享给后人 |
| 玛利亚之壁 / 罗塞之壁 | 家 → 常去的可靠厕所（安全区） |
| 壁外 | 陌生的街区（危险区——可能没有厕所） |
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.
- 12d ago First seen · 166 lines · 92 tokens per session scan A 32c3a812fba6
meme-diaochabingtuan is a skill published in the GitHub repository WhiteGiverMa/meme-skills (7 stars, last pushed 3mo ago), licensed MIT. It adds 92 tokens to every session and 3,312 once invoked, about $0.0005 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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