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-ruhenegit 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-ruhene)<a href="https://agentmods.dev/skills/whitegiverma/meme-skills/meme-ruhene"><img src="https://agentmods.dev/badge/skills/whitegiverma/meme-skills/meme-ruhene/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-ruhene"><img src="https://agentmods.dev/badge/skills/whitegiverma/meme-skills/meme-ruhene.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 | $0.00070 | $0.00612 |
| Opus 5 | $0.00035 | $0.00306 |
| Sonnet 5 | $0.00014 | $0.00122 |
| Haiku 4.5 | $0.00007 | $0.00061 |
Grade A, and why
meme-ruhene 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 11d 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.
What it actually says
如何呢，又能怎（网络流行语/情绪梗）
触发条件：在对话中检测到「如何呢」「又能怎」「如何呢又能怎」等关键词时，Agent 应当加载本 skill 以获取准确的文化语境知识。
一、概述
如何呢，又能怎是2025年最具代表性的青年心态表达。源自单依纯在《歌手2025》演唱的一句歌词，意外出圈成为万能躺平句式——无论遇到什么糟心事，来一句"如何呢又能怎"，焦虑和无奈瞬间被消解。
二、起源
2.1 原始出处
- 创作者/来源：单依纯，《歌手2025》现场演唱
- 时间：2025年中
- 平台：湖南卫视 → 抖音/B站/微博
2.2 出圈过程
演出片段被剪辑成短视频 → 魔性旋律+简短句式天然适合传播 → 抖音话题播放量超11.4亿次
三、核心特征
3.1 含义
"认命式乐观"——不是愤怒也不是绝望，是用自嘲接受无法改变的现实。
3.2 使用场景
- 老板加需求 → 如何呢，又能怎
- 考试没考好 → 如何呢，又能怎
- 被催婚 → 如何呢，又能怎
3.3 情绪本质
用幽默消解内耗，是用轻松语态完成对现实的接纳。
四、文化分析
与"躺平""摆烂"一脉相承，但更温和——不是放弃，是"算了，就这样吧"。反映了Z世代在面对无力改变的外部环境时选择用自嘲代替愤怒的情绪策略。
五、Agent 使用指南
5.1 识别与回应
- 用户说此话时通常是在表达无奈但已接受现实
- 合适的回应：跟着自嘲或表示共鸣，不要给建议或打鸡血
5.2 注意事项
- 不是所有"如何呢"都是梗，需结合上下文
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.
- 11d ago First seen · 59 lines · 70 tokens per session scan A 13f263836b5d
meme-ruhene is a skill published in the GitHub repository WhiteGiverMa/meme-skills (7 stars, last pushed 3mo ago), licensed MIT. It adds 70 tokens to every session and 612 once invoked, about $0.0003 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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