meme-wodedaodun

meme-wodedaodun is a skill for Claude Code, Codex from WhiteGiverMa/meme-skills. It costs 78 tokens per session (3,281 once invoked), scanned A, original, MIT.

A Chinese internet meme knowledge base about “我的刀盾,” a sound-based joke from the English phrase “What the dog doing?”

In plain words
What is it for?
Use it when discussing the meme’s origin, meaning, spread, or variations.
Why use it?
It provides the cultural context needed to understand references to the phrase, its Chinese mishearing, and related imagery.

Skill for Claude CodeCodex

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

Good fit Use it when discussing the meme’s origin, meaning, spread, or variations.

Compare 6 skills from other repositories ↓
Install with agentmods
npx agentmods add skills/whitegiverma/meme-skills/meme-wodedaodun
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-wodedaodun
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-wodedaodun

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

Your own site · 80×15
<a href="https://agentmods.dev/skills/whitegiverma/meme-skills/meme-wodedaodun"><img src="https://agentmods.dev/badge/skills/whitegiverma/meme-skills/meme-wodedaodun.svg" alt="Reviewed on agentmods" width="80" height="20"></a>
Per session 78 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 3,281 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 $0.00078 $0.03281
Opus 5 $0.00039 $0.01640
Sonnet 5 $0.00016 $0.00656
Haiku 4.5 $0.00008 $0.00328

Measured 11d ago against content hash 96f9cd0e724b, method: parsed. Prices are Anthropic first-party input rates as of 2026-09-11, from the pricing page.

Security

Grade A, and why

meme-wodedaodun 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.

skills/meme-wodedaodun/SKILL.md · 208 lines

How it starts

The opening of the file, as written. The whole thing — 208 lines — stays where its author put it; the contents beside it link to each section on GitHub.

我的刀盾(网络迷因/空耳梗)

触发条件:在对话中检测到「我的刀盾」「刀盾狗」「What the dog doing」「我的刀盾~」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

我的刀盾是 2025 年底至 2026 年初爆火的网络迷因,本质是一个空耳梗(soramimi / mondegreen)——对英文短语「What the dog doing?」的中文谐音误听。

"我的刀盾"四个字本身没有任何实际意义,纯粹是发音巧合带来的荒诞喜感。它常与「比比拉布」「歪比巴卜」「巴巴博一」「八格牙路」等无厘头音效一起出现,组成年轻网民专用的「抽象音效套餐」或「加密对话」。


二、起源

2.1 英文原文:"What the dog doing?"

  • 来源平台:Vine(早期国外短视频平台)
  • 发布时间:2014 年 4 月 9 日
  • 创作者:@TonyBakerComedy,视频标题 "WHEN YOU PULL OUT MINTS IN PUBLIC"
  • 出场人物:King Bach、Damaine Radcliff、MrNateJackson、Liane V、Neli Mac
  • 内容:有人拿出 Icebreakers 薄荷糖,周围人纷纷伸手拿,突然一只狗爪也伸了过来。拍摄者用不标准的语法说了一句:"What the dog doing?"(正确应为 "What is the dog doing?" / "What the dog doin'?")
  • 特征:语速偏快、口音特别、语法错误本身就带有喜感
  • Know Your Meme 收录https://knowyourmeme.com/memes/what-the-dog-doin

2.2 英文迷因化(2020)

该音效在英文互联网中被作为 reaction meme 广泛使用,用于对迷惑行为表达困惑。

2.3 中文空耳化:「我的刀盾」

  • 时间:2025 年底至 2026 年初
  • 机制:中文使用者将 "What the dog doing?" 听成了「我的刀盾」
    • What → 我的 (wǒ de)
    • the dog → 刀 (dāo)
    • doing → 盾 (dùn)
  • 平台:抖音、B站率先爆发,随后扩散至全网

三、视觉符号:刀盾狗

3.1 形象描述

  • 柴犬头(Cheems,即已故香港柴犬「波子」Balltze,2011–2023 的歪嘴柴犬形象)+ 蛤蟆身("It Is Wednesday My Dudes" 青蛙躯干)
  • 一手持刀、一手持盾
  • 表情迷茫、呆滞又带点桀骜不驯
  • 英文圈称为 Drog(Dog + Frog 合体)、Cheems FrogSword and Shield Doge
  • 通过 AI 绘画生成,辨识度极高
  • 出圈推手:2026 年 2 月 24 日 TikToker @muchen1117 发布 Cheems Frog 持刀盾视频,播放量 120 万+
  • Know Your Meme 收录https://knowyourmeme.com/memes/drog-wo-de-dao-dun-cheems-frog

3.2 角色定位

刀盾狗是「我的刀盾」梗的视觉化身,常作为猫 meme 小剧场的主角,搭配「我的刀盾」音效一起出现,制造无厘头喜剧效果。


四、核心含义与用法

4.1 基本含义

没有任何实际语义。就是一个荒诞的发音巧合——明明是一本正经的中文词组(我的刀和盾),却指向一个完全不相关的英文原句。这种「听错了但好像也没错」的微妙感,正是其传播的核心动力。

4.2 使用场景

场景 说明 示例
表达困惑 看到离谱行为时替代「这啥啊?」 宠物迷惑行为视频下刷「我的刀盾🐶」
社交缓冲 尴尬冷场时打破沉默 朋友聊天突然冷场 →「我的刀盾!」
自嘲解压 表达摆烂、无奈心境 「方案改不动了,我的刀盾启动!」
猫 meme 剧场 为猫咪表情包配音 猫咪歪头 → 配上「我的刀盾~」音效
评论区刷屏 形成梗文化圈层认同 任何迷惑行为视频下整齐刷「我的刀盾」

Read the full file on GitHub · 208 lines

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. 11d ago First seen · 208 lines · 78 tokens per session scan A 96f9cd0e724b

Subscribe to this mod's changes

meme-wodedaodun is a skill published in the GitHub repository WhiteGiverMa/meme-skills (7 stars, last pushed 3mo ago), licensed MIT. It adds 78 tokens to every session and 3,281 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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