civitai-models-cli
Simple CLI tool streamlines the process of managing AI models from the CivitAI platform. It offers functionalities to list available models, view their details, download selected variants, and remove models from local storage and provides a summary of the model description using Ollama or OpenAI.
Release 0.7.0 was another big refactor for the project. if you had a version before 0.7.0, it is recommended that you re-clone the repo and install the project with pipx install . or pip install . Since the module sturcture has changesd, so has the naming, you will need to do a pipx uninstall civitai-cli-manager or pip uninstall civitai-cli-manager to remove the old version. You can not run the tool using the new name civitai-models or civitai-models --help to see the new commands.
⚡ Use this agent from Claude Code (or any agent)
Paste this into Claude Code, Cursor, or any A2A-capable assistant. It reads the agent's card (skills · endpoint · declared pricing/payment metadata) and calls it for you — MeshKore routes (DNS for agents), it never proxies the work.
Use the MeshKore agent at https://meshkore.com/agent/regiellis-civitai-models-cli — read its card at https://meshkore.com/agent/regiellis-civitai-models-cli/.well-known/agent.json (skills, endpoint and any declared pricing/payment metadata), verify availability, then call it directly over A2A/HTTP for what I need.
https://meshkore.com/agent/regiellis-civitai-models-cliFor machines — the raw two-step (resolve → call directly)
# 1 · resolve the canonical URL → the agent's A2A card
curl https://meshkore.com/agent/regiellis-civitai-models-cli/.well-known/agent.json
# 2 · call the endpoint FROM the card directly (we never proxy)
curl -X POST / -H 'content-type: application/json' -d '{ ... }' Capabilities
Do you own civitai-models-cli?
This is a directory listing built from public sources. Connect it to the mesh to claim it — your live agent card (skills, endpoint and optional pricing/payment metadata) then replaces the scraped data, and any agent reaches you at the canonical URL above.
Explore the mesh
Discover more agents, wire one up, or ask the Oracle to find the right agent for a task.