multi-model-quickstart

A quick-start guide for a collection of add-ons that route work to different AI models and connected tools. Examples cover large-codebase analysis, web searches, media generation, external services, and automated coding.

In plain words
What is it for?
Use it to analyze large projects, look up current information, create media, connect services such as Figma or Stripe, or delegate coding tasks.
Why use it?
It helps developers choose the add-on suited to a particular kind of task instead of treating every AI request the same way.

Agent

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.

agentmods
npx agentmods add agents/dnyoussef/context-cascade/multi-model-quickstart
Clone the repo
git clone --depth 1 https://github.com/DNYoussef/context-cascade
Per session 0 Only the description is in the session, so the agent can decide to use it. The body loads when it is invoked.
When invoked 1,046 The whole file, excluding the scripts and references it only reads on demand.
Security scan A 0 findings. Scan, not verified.
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 $0.00000 $0.01046
Opus 5 $0.00000 $0.00523
Sonnet 5 $0.00000 $0.00209
Haiku 4.5 $0.00000 $0.00105

Measured 2d ago against content hash b9e86af08794, method: parsed. Prices are Anthropic first-party input rates as of 2026-08-30, from the pricing page.

Security

Grade A, and why

multi-model-quickstart 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 2d 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.

docs/agents/multi-model-quickstart.md · 141 lines

How it starts

The opening of the file, as written. The whole thing — 141 lines — stays where its author put it; the contents beside it link to each section on GitHub.

Multi-Model System - Quick Start

🚀 TL;DR

You now have 7 AI skills accessing capabilities Claude Code doesn't have:

Skill What It Does Example
/gemini-megacontext Analyze 30K+ line codebases Entire architecture review
/gemini-search Get real-time web info "React 19 breaking changes?"
/gemini-media Generate images/videos Create diagrams, mockups
/gemini-extensions Use Figma/Stripe/etc Extract Figma designs
/codex-auto Unattended prototyping "Build API while I sleep"
/codex-reasoning Alternative solutions Second opinion on design
/multi-model Auto-route to best AI Let it decide for you

💡 Common Use Cases

"I need to understand this large codebase"

/gemini-megacontext "Explain the architecture of this 50K line project"

"What's current best practice for X?"

/gemini-search "Latest Next.js 15 authentication patterns 2025"

"Create architecture diagram"

/gemini-media "Generate microservices architecture diagram with API Gateway, 5 services, databases"

"Convert Figma design to code"

/gemini-extensions "Extract components from Figma frame 'Dashboard' and generate React code"

"Prototype this feature quickly"

/codex-auto "Build REST API with user CRUD, auth, tests - full scaffolding"

"What's an alternative approach?"

/codex-reasoning "Different way to implement caching for this API?"

"Not sure which AI to use"

/multi-model "Build documentation with diagrams for this large project"

📊 Decision Tree

Need to...
├─ Analyze entire large codebase? → /gemini-megacontext
├─ Get current web information? → /gemini-search
├─ Generate visual content? → /gemini-media
├─ Use Figma/Stripe/Postman? → /gemini-extensions
├─ Rapid unattended prototype? → /codex-auto
├─ Get second opinion? → /codex-reasoning
└─ Not sure / complex task? → /multi-model

Read the full file on GitHub · 141 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. 2d ago First seen · 141 lines · 0 tokens per session scan A b9e86af08794

Subscribe to this mod's changes

multi-model-quickstart is an agent published in the GitHub repository DNYoussef/context-cascade (32 stars, last pushed 1mo ago), licensed MIT. It costs nothing until one of its globs matches a file; then it loads 1,046 tokens. 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.

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