A knowledge base for the Chinese internet phrase “喝碗丝瓜汤吧” (“have a bowl of luffa soup”), a humorous and gentle way to comfort someone. It describes the phrase’s reported origins, meaning, common uses, and when an agent should or should not use it.

Use it to understand or respond to mentions of the phrase, “luffa soup,” or “cyber care” in Chinese-language conversations.

It helps an agent recognise the phrase as a cultural joke rather than taking it literally or responding inappropriately. It also notes that serious distress calls for normal emotional support first.

meme-sigua — Skill for Claude Code and Codex by WhiteGiverMa

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-sigua

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.

README.md

[![agentmods](https://agentmods.dev/badge/skills/whitegiverma/meme-skills/meme-sigua/github.svg)](https://agentmods.dev/skills/whitegiverma/meme-skills/meme-sigua)

Your own site

<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.

Your own site · 80×15

<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>

Per session 76 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.

When invoked 607 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.

Model	Per session	Once invoked
Fable 5.1	$0.00076	$0.00607
Opus 5.5	$0.00030	$0.00243
Sonnet 5.5	$0.00015	$0.00121
Haiku 4.5	$0.00008	$0.00061

Measured 2mo ago against content hash e3f4a6b225c3, method: parsed. Prices are Anthropic first-party input rates as of 2026-10-07, from the pricing page.

Security

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 2mo 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-sigua/SKILL.md · 53 lines

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

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.

2mo ago First seen · 53 lines · 76 tokens per session scan A e3f4a6b225c3

Subscribe to this mod's changes

meme-sigua is a skill published in the GitHub repository WhiteGiverMa/meme-skills (9 stars, last pushed 5mo ago), licensed MIT. It adds 76 tokens to every session and 607 once invoked, about $0.0003 per session on Opus 5.5. 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.

meme-sigua next to 6 skills from other repositories
Mod	Type	Stars	Last push	Licence	Scan	Tokens	Works with
meme-siguaWhiteGiverMa/meme-skills	Skill	9	5mo ago	MIT	A	76	Claude Code, Codex
imagegenopenai/codex	Skill	134k	today	Apache-2.0	A	113	Codex
local-ai-agentsmicrosoft/ai-agents-for-beginners	Skill	79k	yesterday	MIT	A	200	Claude Code, Codex
playwright-climicrosoft/playwright	Skill	100k	yesterday	Apache-2.0	A	19	Claude Code
browser-automationopenclaw/openclaw	Skill	394k	today	MIT	A	36	Claude Code
systematic-debuggingobra/superpowers	Skill	314k	4d ago	MIT	A	21	Claude Code
next-cache-components-adoptionvercel/next.js	Skill	143k	today	MIT	A	95	Claude Code