mixseek-model-list

Fetch and normalize current LLM model lists from provider APIs.

1|1|Updated Jan 16, 2026

Search Tags:#llm #grok #openai #anthropic #model discovery #api fetch #mixseek

Ready to run

npx skills add https://github.com/drillan/mixseek-plus --skill mixseek-model-list

💬 Prompt for ChatGPT / Claude Chat▼

Please help me install this Agent Skill.
Skill: mixseek-model-list
Source: https://github.com/drillan/mixseek-plus/tree/main/.claude/skills/mixseek-model-list
Command: npx skills add https://github.com/drillan/mixseek-plus --skill mixseek-model-list

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill includes scripts (resource) components.

What problem does it solve?

It removes the guesswork from choosing MixSeek-compatible LLMs by pulling the latest provider model lists and presenting them in a format you can use immediately.

Core Features & Use Cases

Live model discovery: Query Google, Anthropic, OpenAI, and Grok APIs to get current model IDs.
Configuration support: Convert results into MixSeek format for team files and agent setup.
Compatibility guidance: Highlight which models support plain agents or code execution, and show provider-specific error states when a key is missing or an API call fails.
Use case: Use it when you need to pick a leader, member, or evaluator model and want a current, provider-aware shortlist instead of stale documentation.

Quick Start

Ask for the latest MixSeek model list for a specific provider or for all providers, and I will return the current options with the best-fit configuration notes.

Frequently Asked Questions about mixseek-model-list

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

FAQPage Schema

How do I fetch the latest LLM model lists from OpenAI and Anthropic for MixSeek?▼

To fetch LLM model lists for MixSeek, query the Google, Anthropic, OpenAI, and Grok APIs directly. The tool normalizes the current model IDs into a MixSeek-compatible format, requiring explicit API keys to retrieve the live provider data successfully.

Can I check LLM compatibility for code execution workflows before configuring my agents?▼

Yes, you can check LLM compatibility for code execution workflows during model discovery. The normalized output highlights which models support plain agents or code execution, ensuring you select the right configuration for your team setup.

What happens if an API key is missing when discovering available Grok models?▼

If an API key is missing when discovering Grok models, the tool provides transparent error reporting without silent fallback. It explicitly shows the provider-specific error state rather than defaulting to stale documentation or guessing available models.

What is the best way to get a provider-aware shortlist for agent selection?▼

The best way to get a provider-aware shortlist for agent selection is querying live provider APIs. This pulls current model IDs from Google, Anthropic, OpenAI, and Grok, converting them into MixSeek format for immediate team configuration.

Why does my MixSeek model discovery return an error instead of falling back to older models?▼

MixSeek model discovery returns explicit errors instead of falling back because it uses transparent error reporting without silent fallback. This prevents configuring agents with stale documentation, ensuring only current API-verified models are selected.