Borrowing it
Nothing to install: this file belongs to WhiteGiverMa/meme-skills. Take a copy, put it at the same path in your own repository, and replace the rules that are about this project with yours.
curl -O https://raw.githubusercontent.com/WhiteGiverMa/meme-skills/master/AGENTS.mdgit 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/instructions/whitegiverma/meme-skills/agents-md)<a href="https://agentmods.dev/instructions/whitegiverma/meme-skills/agents-md"><img src="https://agentmods.dev/badge/instructions/whitegiverma/meme-skills/agents-md.svg" alt="Measured on agentmods" 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 | $0.01989 | $0.01989 |
| Opus 5 | $0.00994 | $0.00994 |
| Sonnet 5 | $0.00398 | $0.00398 |
| Haiku 4.5 | $0.00199 | $0.00199 |
Grade A, and why
meme-skills AGENTS.md 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 8d 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 — 131 lines — stays where its author put it; the contents beside it link to each section on GitHub.
meme-skills
中文互联网文化知识库,以 agent skill 格式维护。覆盖两大领域:热梗知识(meme-{xx})与游戏知识(game-{xx})。
设计意图
LLM 的训练数据具有滞后性,无法覆盖实时演变的互联网热梗与持续更新的游戏知识。在个人助手场景中,AI 能否理解并回应用户提及的梗文化和游戏话题,直接决定了对话的亲和力——懂梗的 AI 更像朋友,不懂梗的 AI 只是工具;了解用户玩的游戏的 AI 能聊到一起,不了解的只能泛泛而谈。
本项目将这些知识标准化为 skill 格式,使任何兼容的 agent 框架都能按需加载:
- meme-{xx}:热梗知识。每个 skill 提供特定梗的起源、演变、用法、文化语境等完整信息,让 agent 在对话中准确理解并回应用户的梗文化表达。
- game-{xx}:游戏知识。覆盖热门新游戏与经典小众冷门游戏,提供游戏机制、开发历史、社区文化、玩家梗等信息,让 agent 能与玩家用户进行有深度的游戏话题交流。
人文精神
热梗不仅是笑话。每一个在网络中生长、变异、沉淀下来的梗,都是一段微缩的社会史——它记录了某个时刻一群人的情绪、一段关系的变迁、一种文化的自我表达。嘉豪的走红折射了当代年轻人对亲密关系的渴望与戏谑;比比拉布的无意义音效背后是互联网对语言边界的解构与重建。
本项目不将梗视为"网络垃圾"或"低级趣味",不将游戏视为"消磨时间的娱乐"。相反,我们认为:理解一个时代的梗,就是理解这个时代的人;理解一个人玩的游戏,就是理解TA的审美与精神世界。 每一个 skill 不仅是对一个流行词的百科式记录,更是对一种社会情绪、一段文化记忆、一种审美偏好的尊重与保存。
在编写和维护 skill 时,请始终秉持以下态度:
- 准确而非猎奇:还原梗的真实起源和语境,不为了趣味性而编造或夸大
- 理解而非嘲讽:梗背后是真实的人和真实的情感,不做居高临下的评判
- 完整而非碎片:提供足够的文化语境,让 AI agent 不仅"知道"这个梗,更"理解"它为什么好笑、为什么重要
- 尊重而非消费:涉及特定群体、地域、性别的梗时,保持文化敏感度,不将其简化为刻板印象
一个真正称职的个人 AI 助手,不该只是个工具。它应该懂你的梗,接得住你的玩笑。而要做到这一点——首先,写 skill 的人要懂这些梗背后的人。
目录结构
meme-skills/
├── AGENTS.md # 本文件
├── skills/ # 正式收录的 skill
│ ├── meme-jiahao/ # 嘉豪
│ │ └── SKILL.md
│ ├── meme-niyijiku/ # 你已急哭
│ │ └── SKILL.md
│ ├── meme-wodedaodun/ # 我的刀盾
│ │ └── SKILL.md
│ ├── meme-bibilabu/ # 比比拉布
│ │ └── SKILL.md
│ ├── meme-nailong/ # 奶龙 / 大笑奶龙
│ │ └── SKILL.md
│ ├── meme-suanbird/ # 蒜鸟
│ │ └── SKILL.md
│ ├── meme-jichu/ # xx基础xx就不基础
│ │ └── SKILL.md
│ ├── meme-bababoyi/ # 巴巴博一/巴巴博弈
│ │ └── SKILL.md
│ ├── meme-yuzhoulengmo/ # 宇宙冷漠
│ │ └── SKILL.md
│ ├── game-slay-the-spire-2/ # 杀戮尖塔2
│ │ └── SKILL.md
│ └── meme-skill-creator/ # 梗技能创建器(元工具)
│ ├── SKILL.md
│ └── references/
│ └── meme-template.md
├── incoming/ # 待处理投稿(质量参差,审核后移入正式目录)
└── archive/ # 已过时或不再维护的 skill 封存
Skill 格式
每个 skill 是一个目录,内含 SKILL.md,结构如下:
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.
- 8d ago First seen · 131 lines · 1,989 tokens per session scan A d3ee1b29ec74
meme-skills AGENTS.md is an instructions file published in the GitHub repository WhiteGiverMa/meme-skills (5 stars, last pushed 3mo ago), licensed MIT. It adds 1,989 tokens to every session, about $0.0099 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.
Other instructions, from other repositories
next.js AGENTS.md
AGENTS.md instructions for vercel/next.js, covering next.js development guide, codebase structure, monorepo overview, core package: packages/next and other important packages.
codex AGENTS.md
AGENTS.md instructions for openai/codex, covering rust/codex-rs, the codex-core crate, code review rules, crate api surface and model visible context.
vscode buildNext.instructions.md
Working notes and architecture documentation for the new esbuild-based build system in build/next. Use when making changes to the new build pipeline (transpile/bundle commands, NLS plugin, source-map handling, resource copying, or self-hosting watch tasks).
vscode oss-third-party-notices.instructions.md
Instructions for microsoft/vscode, covering vs code oss third-party-notices pipeline, architecture, pipeline flow in ci, applying the notice (cutover) and fallback chain (never fail the build).
langchain AGENTS.md
AGENTS.md instructions for langchain-ai/langchain, covering global development guidelines for the langchain monorepo, corridor security analysis, project architecture and context, monorepo structure and development tools & commands.
spec-kit AGENTS.md
AGENTS.md instructions for github/spec-kit, covering agents.md, about spec kit and specify, quickstart — add a new integration in 5 steps, integration architecture and integrationmanifest — file tracking.