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Openrouter Trending Models

madappgang/claude-code

This fetches the current top 9 trending programming models from OpenRouter's weekly rankings and gives you structured JSON with model IDs, context windows, pricing, and token usage stats. Use it when you need to dynamically select models for multi-model reviews instead of hardcoding them, or when you want data-driven recommendations based on what's actually popular. The output is clean and parseable, so you can pipe it through jq to filter by price or context size. Runs in 2-5 seconds via a Bun script. Honestly most useful if you're building agents or workflows that need to stay current with the AI model landscape without manual updates every time the rankings shift.

skills.sh installs: 173
GitHub stars: 287
last updated: Aug 21, 2026

Install

$ npx -y skills add madappgang/claude-code --skill openrouter-trending-models --agent claude-code

Installs into .claude/skills of the current project.

Files

OpenRouter Trending Models Skill

Overview

This skill provides access to current trending programming models from OpenRouter's public rankings. It executes a Bun script that fetches, parses, and structures data about the top 9 most-used AI models for programming tasks.

What you get:

Model IDs and names (e.g., x-ai/grok-code-fast-1)
Token usage statistics (last week's trends)
Context window sizes (input capacity)
Pricing information (per token and per 1M tokens)
Summary statistics (top provider, price ranges, averages)

Data Source:

OpenRouter Rankings (https://openrouter.ai/rankings?category=programming)
OpenRouter Models API (https://openrouter.ai/api/v1/models)

Update Frequency: Weekly (OpenRouter updates rankings every week)

When to Use This Skill

Use this skill when you need to:

Select models for multi-model review
- Plan reviewer needs current trending models
- User asks "which models should I use for review?"
- Updating model recommendations in agent workflows

SKILL.md on GitHub

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Details

Repository: github.com/madappgang/claude-code
Categories: Git & Pull Requests, Code Review & Quality, Data Science & ML
First seen: Jun 3, 2026

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