List installed Ollama models with names, sizes, and modified dates.
npx skills add https://github.com/bryancostanich/Cercano --skill cercano-models
Please help me install this Agent Skill. Skill: cercano-models Source: https://github.com/bryancostanich/Cercano/tree/main/plugins/skills/cercano-models Command: npx skills add https://github.com/bryancostanich/Cercano --skill cercano-models
The Skill helps teams quickly discover what AI models are installed on the user's local Ollama server by listing model names, sizes, and last modified dates, enabling informed model selection.
List the available models on your Ollama instance.
High-intent search queries and answers about installing and using this skill.
You can list installed Ollama models by fetching metadata directly from the active Ollama server, which retrieves the model name, file size, and last modified date for display.
When you inventory Ollama models, the fetched metadata includes the model name, file size, and last modified date to help you compare and decide which local models to deploy.
Yes, you can audit your local model inventory in development and operations workflows to quickly discover available resources and compare installed models on your local machine.
Yes, you need an active Ollama instance running locally because the tool fetches model metadata directly from the Ollama server to list the currently installed models.
The best way to compare local models is to fetch metadata from your Ollama server, allowing you to review model names, sizes, and modification dates to inform your deployment decisions.
GoogleDevRelExplorationsQuery and update Cercano runtime configuration for local models and endpoints.
cryptopafiVerify Ollama instances via SSH and API smoke tests.
arnaudjnnIntegrate local Ollama models into an agent toolset via an MCP server.
dawsonblockManage Ollama models and run generation, chat, and embedding tasks via CLI.
