Fetch and normalize current LLM model lists from provider APIs.
npx skills add https://github.com/drillan/mixseek-plus --skill mixseek-model-list
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
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.
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.
High-intent search queries and answers about installing and using this skill.
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.
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.
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.
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.
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.
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