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 agentmods add instructions/dpmadsen/multimodels-mcp/agents-mdgit clone --depth 1 https://github.com/dpmadsen/multimodels-mcpWrote 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/dpmadsen/multimodels-mcp/agents-md)<a href="https://agentmods.dev/instructions/dpmadsen/multimodels-mcp/agents-md"><img src="https://agentmods.dev/badge/instructions/dpmadsen/multimodels-mcp/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 | $0.01237 | $0.01237 |
| Opus 5 | $0.00619 | $0.00619 |
| Sonnet 5 | $0.00247 | $0.00247 |
| Haiku 4.5 | $0.00124 | $0.00124 |
Grade A, and why
multimodels-mcp 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 5d 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.
Copies of this mod
1 near-identical copy found in the catalogue:
- multimodels-mcp CLAUDE.md — 92% identical, 11 lines differ
How it starts
The opening of the file, as written. The whole thing — 61 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Projeto: multimodels-mcp
English note: AGENTS.en.md
O que é
Servidor MCP que funciona como um "garçom" entre o Codex e outros modelos de IA: o Codex delega uma tarefa, o servidor processa com o modelo escolhido e devolve o resultado pro Codex avaliar. Modelos disponíveis: Codex (via assinatura do ChatGPT, pelo CLI codex já instalado no Mac), DeepSeek, z.ai e OpenRouter (via chaves de API) e modelos locais via LM Studio. Inclui um painel de controle local pra gerenciar chaves e habilitar/desabilitar modelos.
Pra quem é
Pro Daniel, uso pessoal, rodando só no Mac dele dentro do Codex.
Stack e comandos
- Servidor: TypeScript + SDK oficial de MCP da Anthropic (transporte stdio, roda local)
- Conector universal: padrão OpenAI-compatible (atende DeepSeek, z.ai, OpenRouter e LM Studio — provedor novo = 1 linha de configuração + chave no .env)
- Codex: integração via CLI
codex(usa a assinatura, sem custo de API) - Painel de configuração: shadcn/ui + Tailwind (Vite, pasta
ui/), página local no navegador — abrir comnpm run panel(http://127.0.0.1:4747); depois de mudar código da interface,npm run build:ui - Configuração de modelos: arquivo local
config/models.json(sem banco de dados) - Chaves: SEMPRE no
.env(nunca no models.json, nunca no código) - Rodar os testes:
npm test(compila e testa; os testes vivem emsrc/*.test.ts) - Compilar depois de mudar código:
npm run build(o Codex executa o resultado emdist/) - O servidor está registrado no Codex com o nome
multimodels(escopo user, vale pra todos os projetos); conferir comCodex mcp list - Ferramentas expostas:
list_models(cardápio) edelegate_task(delegação)
Como trabalhar comigo
Sobre mim
- Eu NÃO sei programar. Já fiz projetos de vibecoding, mas preciso de direcionamento.
- Explique tudo em português, com analogias do dia a dia. NUNCA assuma que sei termos técnicos.
- Respostas objetivas. Se eu quiser mais detalhes, eu peço.
Como se comunicar comigo
- Ao fazer algo, mostre: (1) o que fez, (2) como eu vejo/testo, (3) o que fazer se der erro.
- Se der erro, explique primeiro em linguagem simples, DEPOIS sugira a correção.
- Pedido vago? Faça perguntas até entender. Decisões importantes: apresente opções e explique as diferenças em termos simples.
- A menos que eu diga "faça isso agora", trate meu pedido como conversa: pense comigo, proponha uma abordagem e só modifique arquivos depois que eu confirmar.
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.
- 5d ago First seen · 61 lines · 1,237 tokens per session scan A e774b963d626
multimodels-mcp AGENTS.md is an instructions file published in the GitHub repository dpmadsen/multimodels-mcp (19 stars, last pushed 1mo ago), licensed MIT. It adds 1,237 tokens to every session, about $0.0062 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 2026-08-30.
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).
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.
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 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.
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.