openrouter-trending-models

Fetch weekly trending OpenRouter programming models and output structured JSON metadata.

2|Updated Dec 25, 2025
One-click install
npx skills add https://github.com/tianzecn/myclaudecode --skill openrouter-trending-models
Or copy as Structured Prompt for Agent▼
Please help me install this Agent Skill.
Skill: openrouter-trending-models
Source: https://github.com/tianzecn/myclaudecode/tree/main/skills/openrouter-trending-models
Command: npx skills add https://github.com/tianzecn/myclaudecode --skill openrouter-trending-models

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill includes scripts (resource) components.

What problem does it solve?

This Skill provides up-to-date rankings of trending programming models from OpenRouter, enabling informed model selection for multi-model reviews, cost optimization, and research into current coding AI trends.

Core Features & Use Cases

  • Weekly trending data: Retrieve the top 9 programming models with IDs, context windows, and pricing.
  • Structured output: Outputs model metadata including rank, ID, name, contextLength, and pricing per 1M tokens.
  • Research & comparison: Use for trend analysis, cost-conscious model selection, and updating plugin documentation.

Quick Start

Run bun run scripts/get-trending-models.ts and inspect trending-models.json for the latest data.

Frequently Asked Questions about openrouter-trending-models

High-intent search queries and answers about installing and using this skill.

FAQPage Schema
How do I get the latest trending programming models from OpenRouter?▼

Fetch trending programming models by running the Skill's script, which retrieves the top 9 models ranked by OpenRouter with their IDs, context windows, and pricing per 1M tokens, outputting structured JSON data for immediate use.

What pricing information does OpenRouter's trending models data include?▼

Trending models data includes pricing per 1M tokens for each ranked model, enabling cost-conscious selection and comparison across the current top programming models.

Can I use trending model rankings to optimize AI infrastructure costs?▼

Yes, weekly rankings with pricing metadata support cost optimization by identifying high-performing models with favorable token pricing, informing budget-aware model selection for multi-model deployments.

How often does the trending models data update?▼

The Skill fetches weekly trending data from OpenRouter, providing up-to-date rankings to keep model recommendations and documentation current with coding AI trends.

What structured data does the output JSON contain about each model?▼

Output includes rank, model ID, name, context length, and pricing per 1M tokens for each trending model, plus summary metadata enabling downstream processing and comparison.

Can I use this data for multi-model reviews and comparisons?▼

Yes, structured trending model metadata supports multi-model reviews by providing authoritative rankings, context window sizes, and pricing, informing which models to include in comparative analysis.