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 agents/dnyoussef/context-cascade/multi-model-quickstartgit clone --depth 1 https://github.com/DNYoussef/context-cascadeWhat 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 | $0.00000 | $0.01046 |
| Opus 5 | $0.00000 | $0.00523 |
| Sonnet 5 | $0.00000 | $0.00209 |
| Haiku 4.5 | $0.00000 | $0.00105 |
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.
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
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.
- 2d ago First seen · 141 lines · 0 tokens per session scan A b9e86af08794
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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