Can I track the cost of my AI calls?

Yes, the skill provides detailed token usage data and cost calculations in dollars based on OpenRouter's current pricing for each specific model.

Do I need an API key to use this skill?

Yes, you must have an OpenRouter account and set the OPENROUTER_API_KEY environment variable to authenticate and make API calls.

How does the :nitro modifier work?

Appending :nitro to a model name (e.g., anthropic/claude-3-sonnet:nitro) automatically routes your request to the fastest available provider for that specific model.

Does this skill support web search?

Yes, by using the :online modifier with compatible models, you can enable real-time web search capabilities for your queries through OpenRouter.

What is the OpenRouter Claude Code skill?

It is a specialized capability that allows Claude to call, compare, and benchmark hundreds of different AI models from providers like OpenAI, Google, and Meta using the OpenRouter unified API.

OpenRouter Multi-Model Access

Name: OpenRouter Multi-Model Access
Author: rawwerks

byrawwerks

0•

데이터 과학 및 ML

Access and benchmark hundreds of LLM models through a unified API to optimize for cost, performance, and response quality.

This skill enables Claude to interact with the OpenRouter API, providing a bridge to a vast library of large language models including OpenAI, Anthropic, Google Gemini, and Meta Llama. It simplifies the process of testing different models, comparing their outputs, and monitoring real-time metrics such as cost per token and response latency. With built-in support for speed modifiers like :nitro and web-search capabilities via :online, it serves as a powerful utility for developers looking to find the optimal model-provider combination for specific tasks or to build model-agnostic applications without managing multiple API integrations.

주요 기능

01Automated model comparison and benchmarking capabilities

02Unified API interface for hundreds of LLMs from all major providers

030 GitHub stars

04Programmatic access to model rankings and provider performance data

05Real-time cost calculation and latency tracking for every request

06Support for specialized routing modifiers like :nitro and :online

사용 사례

01Benchmarking provider latency and throughput to ensure production-grade speed and reliability

02Comparing responses across different LLMs to find the highest quality output for specific prompts

03Optimizing application costs by identifying cheaper high-performance alternatives for routine tasks

What are Skills?·How to Install

Install with 🐟 Skill.Fish

npx skillfish add rawwerks/raygent-skills openrouter

For use in Claude.ai and ChatGPT

Download Skill