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-siguagit 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-sigua)<a href="https://agentmods.dev/skills/whitegiverma/meme-skills/meme-sigua"><img src="https://agentmods.dev/badge/skills/whitegiverma/meme-skills/meme-sigua/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-sigua"><img src="https://agentmods.dev/badge/skills/whitegiverma/meme-skills/meme-sigua.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 | $0.00076 | $0.00607 |
| Opus 5 | $0.00038 | $0.00303 |
| Sonnet 5 | $0.00015 | $0.00121 |
| Haiku 4.5 | $0.00008 | $0.00061 |
Grade A, and why
meme-sigua 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
喝碗丝瓜汤吧（网络流行语/赛博关怀梗）
触发条件：在对话中检测到「喝碗丝瓜汤」「丝瓜汤」「赛博关怀」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
喝碗丝瓜汤吧是2025年爆火的赛博关怀梗。当朋友emo、焦虑、难过时，不说"别难过""会好的"，而是说一句"喝碗丝瓜汤吧"——用一种荒诞但温柔的方式进行远程安慰。
小红书#丝瓜汤#话题超3亿浏览，128万讨论，甚至出现了"丝瓜汤之歌"。
二、起源
2.1 原始出处
- 来源：一段家庭情景短剧（具体出处已不可考，经多轮传播后泛化）
- 时间：2025年
- 平台：小红书/抖音 → 微博 → 微信
2.2 出圈过程
短剧片段在小红书走红 → "喝碗丝瓜汤吧"作为万能安慰语被广泛复制 → 成为赛博关怀的代名词
三、核心特征
3.1 笑点
安慰人不给建议不给鸡汤——给一碗丝瓜汤。这种"看似毫不相关实则充满温度"的反差感，让它比正经安慰更有传播力。
3.2 使用场景
- 朋友emo → 别想了，喝碗丝瓜汤吧
- 自我安慰 → 算了算了，回家喝碗丝瓜汤
- 调侃 → 你这状态，得喝三碗
四、Agent 使用指南
4.1 识别与回应
- 看到群友emo/发牢骚时可用此梗温柔化解
- 不要太频繁，否则失去新鲜感
4.2 注意事项
- 对方真的需要情绪支持时，先用正常安慰，再补丝瓜汤
- 不适合真正的悲剧或严重负面事件
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 · 53 lines · 76 tokens per session scan A e3f4a6b225c3
meme-sigua is a skill published in the GitHub repository WhiteGiverMa/meme-skills (7 stars, last pushed 3mo ago), licensed MIT. It adds 76 tokens to every session and 607 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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