Borrowing it
Nothing to install: this file belongs to multiplex-ai/muggle-ai-teams. 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/multiplex-ai/muggle-ai-teams/main/CLAUDE.mdgit clone --depth 1 https://github.com/multiplex-ai/muggle-ai-teamsWrote 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/multiplex-ai/muggle-ai-teams/claude-md)<a href="https://agentmods.dev/instructions/multiplex-ai/muggle-ai-teams/claude-md"><img src="https://agentmods.dev/badge/instructions/multiplex-ai/muggle-ai-teams/claude-md/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/instructions/multiplex-ai/muggle-ai-teams/claude-md"><img src="https://agentmods.dev/badge/instructions/multiplex-ai/muggle-ai-teams/claude-md.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 | $0.01608 | $0.01608 |
| Opus 5.5 | $0.00643 | $0.00643 |
| Sonnet 5.5 | $0.00322 | $0.00322 |
| Haiku 4.5 | $0.00161 | $0.00161 |
Grade A, and why
muggle-ai-teams CLAUDE.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 today.
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 — 111 lines — stays where its author put it; the contents beside it link to each section on GitHub.
CLAUDE.md
This file provides guidance to Claude Code (claude.ai/code) when working with code in this repository.
What This Repo Is
muggle-ai-teams is a Claude Code and Codex plugin — an agent orchestration framework composed of markdown definitions (agents, skills, commands, rules, workflow steps) and JavaScript hooks. There is no application code and no build step. The deliverable is the markdown and JS files themselves, plus the Codex files generated from them (see Codex); npm test holds both hosts to them.
Published as @muggleai/teams on npm. Part of the Muggle AI open-source ecosystem alongside muggle-ai-works (QA testing MCP server).
Installation & Setup
# Option A: npm (copies files to ~/.claude/)
npm install @muggleai/teams
# Option B: git clone (symlinks to ~/.claude/)
git clone https://github.com/multiplex-ai/muggle-ai-teams.git
chmod +x muggle-ai-teams/setup.sh
./muggle-ai-teams/setup.sh
Both methods install agents/, commands/, skills/, rules/ into ~/.claude/. The npm path copies files; the git clone path creates symlinks so edits are reflected immediately.
After install, start with /muggle-ai-teams in Claude Code.
Codex installs it as a plugin instead: codex plugin marketplace add multiplex-ai/muggle-ai-teams, then codex plugin add muggle-ai-teams@muggle-ai-teams, and starts with $muggle-ai-teams:muggle-ai-teams.
Architecture
Symlink System
muggle-ai-teams/ ← source of truth
agents/ ← 29 agent definitions (.md)
commands/ ← 55 slash command definitions (.md)
skills/ ← 174 skill directories
rules/ ← 17 domain rule files (.md)
workflow/ ← step files, procedures, references
hooks/ ← JS hooks + hooks.json manifest
contexts/ ← mindset contexts for workflow steps
projects/ ← per-project configs
~/.claude/ ← Claude Code reads from here
agents/ → symlink ← global
commands/ → symlink
skills/ → symlink
rules/ → symlink
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.
- today Changed · +17 lines · +503 tokens per session b64a8dbe6dc5
- 1mo ago First seen · 94 lines · 1,105 tokens per session scan A e14b2d3cdf0d
muggle-ai-teams CLAUDE.md is an instructions file published in the GitHub repository multiplex-ai/muggle-ai-teams (2 stars, last pushed yesterday), licensed MIT. It adds 1,608 tokens to every session, about $0.0064 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.
Other instructions, from other repositories
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).
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.
vscode oss-third-party-notices.instructions.md
Instructions for microsoft/vscode, covering vs code oss third-party-notices pipeline, architecture, pipeline flow in ci, cache eligibility and rollout and applying the notice (cutover).
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.
deepseek-harness AGENTS.md
AGENTS.md instructions for deepseek-ai/deepseek-harness, covering agents.md, pre-stable apis and released session data, repository layout, commands and host sandbox failures.
vscode copilot-instructions.md
Copilot instructions for microsoft/vscode, covering vs code copilot instructions, project overview, root folders, core architecture (src/ folder) and built-in extensions (extensions/ folder).