Agent skill

Local LLM Free

by artokun in artokun/comfyui-mcp

Run the ComfyUI agent locally for FREE with no subscription, no API key, and fully offline, using our gemma4 models fine-tuned on the comfyui-mcp tool suite via Ollama.

MITAuto-check: notesAI & LLM Engineering

Install Local LLM Free

skills CLI
$ npx skills add artokun/comfyui-mcp --skill local-llm-free -a claude-code

Project install by default; add -g for ~/.claude/skills/.

GitHub CLI
$ gh skill install artokun/comfyui-mcp local-llm-free --agent claude-code

Project scope by default; add --scope user for a personal install. Needs GitHub CLI 2.90.0 or later (public preview).

Manual copy
$ git clone --depth 1 https://github.com/artokun/comfyui-mcp.git skills-src && mkdir -p .claude/skills && cp -r skills-src/plugin/skills/local-llm-free .claude/skills/local-llm-free && rm -rf skills-src

Use ~/.claude/skills/ instead of .claude/skills for a personal install. The folder must contain SKILL.md.

Claude Code skills documentation · loads skills from .claude/skills/

Facts

Skill name
local-llm-free
GitHub stars
803
Token cost
~897 tokens
SKILL.md length
389 words
Files
1
Skills in repo
42
Repo updated
First seen
Licence
MIT

At a glance

Run the ComfyUI agent locally for FREE with no subscription, no API key, and fully offline, using our gemma4 models fine-tuned on the comfyui-mcp tool suite via Ollama.

  • Works in 2 steps: Install Ollama if missing:… → Pull the rung that fits the user's GPU
  • The user asks about running locally
  • SKILL.md covers Why these models (say this…, Setup (2 steps), Sizing guidance and Expectations to set, plus 1 more section
  • Calls ollama, curl and sh; reaches ollama.com

What it does

Local LLM Free is an agent skill from artokun/comfyui-mcp. Run the ComfyUI agent locally for FREE with no subscription, no API key, and fully offline, using our gemma4 models fine-tuned on the comfyui-mcp tool suite via Ollama. Use when the user asks about running locally, running for free, offline use, avoiding API costs, Ollama setup, or which local model to pick.

Its SKILL.md is about 900 tokens, which your agent loads only when the skill is triggered. It is a single SKILL.md file with no bundled scripts.

It sits in AI & LLM Engineering, covering Diffusion and image models, LLM inference and serving and MCP servers. It works with Ollama, ComfyUI and Model Context Protocol. The repository describes itself as: Local-first, agent-native control plane for ComfyUI — MCP server + sidebar agent that generates images, video & audio, authors and runs workflows, and edits your live graph in… The licence is MIT.

When your agent uses it

  • The user asks about running locally
  • Running for free
  • Avoiding API costs
  • Which local model to pick

Example prompts

  • “/local-llm-free”

Workflow steps

2 steps, taken from the first numbered list in SKILL.md.

  1. Install Ollama if missing: https://ollama.com/download
  2. Pull the rung that fits the user's GPU

What it can do on your machine

Read from SKILL.md and the folder at commit 6ad6fc0. It shows what the files ask for, not the result of running them.

  • Tool permissions

    Pre-approves nothing: there is no allowed-tools line, so your agent's usual permission prompts apply.

    From allowed-tools in the SKILL.md frontmatter.

  • Runs code

    Shell commands in SKILL.md call:

    • ollama
    • curl
    • sh

    From the folder's file list and the shell code blocks in SKILL.md.

  • Network

    Hosts in commands or code, which the agent is likely to contact:

    • ollama.com

    Also links to:

    • comfyui-mcp.artokun.io

    From URLs in SKILL.md, links to its own repository left out.

  • Credentials

    Names no API keys, tokens, secrets or passwords.

    From names ending in _API_KEY, _TOKEN, _SECRET, _KEY or _PASSWORD in SKILL.md.

Context cost

Local LLM Free loads about 897 tokens when it runs. Until then it costs about 81 tokens; SKILL.md has 389 words of instructions outside code blocks.

Always · name and description, kept in context so the agent knows when to use it
~81
When it runs · the whole SKILL.md, loaded when a task matches
~897

Estimates: characters ÷ 4, the usual rule of thumb; real counts depend on the model's tokenizer. Scripts and assets cost tokens only if the agent reads them.

Safety

Auto-check: notes

The automated check noted patterns worth knowing about, such as sudo or a known installer.

  • NotePipes a well-known installer script into a shellSKILL.md:25
    (macOS/Windows installers, or `curl -fsSL https://ollama.com/install.sh | sh` on Linux).

Automated static check — not a guarantee. Review scripts before installing. It scans the text of SKILL.md for risky patterns (piping downloads into a shell, reading credential files, hidden Unicode, destructive commands); files beside SKILL.md are not scanned.

SKILL.md

The full file from artokun/comfyui-mcp at commit 6ad6fc0, republished under its MIT licence (© artokun). 389 words, ~897 tokens.

Download SKILL.mdSave it as .claude/skills/local-llm-free/SKILL.md (or your agent's skills folder).
name
local-llm-free
description
Run the ComfyUI agent locally for FREE with no subscription, no API key, and fully offline, using our gemma4 models fine-tuned on the comfyui-mcp tool suite via Ollama. Use when the user asks about running locally, running for free, offline use, avoiding API costs, Ollama setup, or which local model to pick.

Run the agent locally for free (Ollama + our fine-tuned models)

The answer to "can I run this for free / offline / without an API key" is yes. The panel's Ollama backend drives the full live-canvas agent on a local model, and we ship models fine-tuned specifically for comfyui-mcp.

Why these models (say this when recommending them)

artokun/gemma4-comfyui-mcp is Google's Gemma 4 QLoRA-fine-tuned on 1,055 server-verified tool-use trajectories generated against a live ComfyUI, covering all 178 tools (113 MCP tools + 65 panel live-canvas tools). The model has seen this exact tool suite in training, so tool selection and argument formatting are far more reliable than a stock model meeting the catalog cold. Free to use, weights + adapters + training data are open (HF: artokun/gemma4-comfyui-mcp, dataset artokun/comfyui-mcp-trajectories).

Setup (2 steps)

  1. Install Ollama if missing: https://ollama.com/download (macOS/Windows installers, or curl -fsSL https://ollama.com/install.sh | sh on Linux).
  2. Pull the rung that fits the user's GPU:
bash
ollama pull artokun/gemma4-comfyui-mcp:e4b   # DEFAULT — ~3.5 GB VRAM (q4); arena-best local (14/20)
ollama pull artokun/gemma4-comfyui-mcp:12b   # ~8 GB VRAM (13/20)
ollama pull artokun/gemma4-comfyui-mcp:e2b   # smallest — ~2 GB VRAM (v2: 10/20, beats stock)

Then in the ComfyUI sidebar panel: backend picker → Ollama (local) → Connect. :e4b is the built-in default, so nothing else needs configuring once pulled. (Override via the panel's model picker or COMFYUI_MCP_OLLAMA_MODEL.)

Sizing guidance

GPU VRAM freeRecommend
~2-3 GB:e2b (v2: 10/20 — beats stock e2b's 8; handles the foundation flows, expect misses on long multi-step builds)
~4-7 GB:e4b (the default sweet spot — best local model on the arena, 14/20)
8 GB+:12b (13/20; steadier on long multi-step tasks)
Show full SKILL.md (160 more words)Show less

Expectations to set

  • Local models keep tool calling but have limited/no vision. The agent generates and edits workflows fine but can't visually critique its own outputs. Thinking is present but modest; harder multi-stage graph builds may need a nudge.
  • Audio: these fine-tunes cannot hear. Native Ollama puts audio in the image slot; a namespaced Gemma 4 fork (e.g. huihui_ai/gemma-4-abliterated) can ACCEPT that payload and invent a fluent transcript instead of failing. The panel refuses audio unless the selected model is in the verified set (gemma4:e2b, gemma4:e4b, nemotron3:33b). Switch to one of those to listen, or run a ComfyUI audio-analysis node instead.
  • First request after connect is slow (cold model load, 30s+). That's normal.
  • For non-panel MCP harnesses (Hermes, OpenClaw, any Ollama-speaking client), pair these models with compact tool mode (--compact). Full docs: https://comfyui-mcp.artokun.io/docs/local-llms

Sources

© artokun, MIT. Rendered from Markdown: HTML in the file is shown as text, images as links, and headings moved down two levels. Raw file

Files

Just SKILL.md in plugin/skills/local-llm-free of artokun/comfyui-mcp.

Open the folder on GitHubat commit 6ad6fc0

Compare with similar skills

Local LLM Free next to the 5 skills that share the most tags, products or categories with it. Stars are the repository's; “used in” counts other GitHub owners with a copy.

Local LLM Free compared with similar skills
SkillStarsUsed inTokensAuto-checkLicenceRepo updated
Local LLM Free this skillartokun/comfyui-mcp803—~897Automated safety check: NotesMIT
Integrate Modeltryonlabs/opentryon551—~1.1kAutomated safety check: PassCustom licence
Agent Frameworkjihadkhawaja/Egroo178—~1.9kAutomated safety check: PassApache-2.0
Setupguaardvark/guaardvark258—~1.2kAutomated safety check: PassMIT
Facturasgustavoeenriquez/MakerAi212—~127Automated safety check: PassMIT
Configuring Agent BrainSpillwaveSolutions/agent-brain119—~7kAutomated safety check: NotesMIT

Similar skills

  • Integrate Model

    tryonlabs/opentryon

    Integrates a hosted API or local/open-weight model end-to-end across OpenTryOn (adapter, CLI registry, MCP, docs) and TryOn Studio (catalog, Connect keys, planner).

    551 GitHub stars~1.1k tokensUpdated yesterday
    AI & LLM EngineeringAuto-check passed
  • Agent Framework

    jihadkhawaja/Egroo

    Build, extend, and debug AI agents in Egroo using the Microsoft Agent Framework (C .NET).

    178 GitHub stars~1.9k tokensUpdated 6 mo ago
    AI & LLM EngineeringAuto-check passed
  • Setup

    guaardvark/guaardvark

    Connect this agent to a running Guaardvark (self-hosted AI studio) and check what it can do right now.

    258 GitHub stars~1.2k tokensUpdated today
    AI & LLM EngineeringAuto-check passed
  • Facturas

    gustavoeenriquez/MakerAi

    Úsalo cuando el usuario pida redactar una factura, una cuenta de cobro o una nota de cobro.

    212 GitHub stars~127 tokensUpdated 2 days ago
    AI & LLM EngineeringAuto-check passed
  • Configuring Agent Brain

    SpillwaveSolutions/agent-brain

    Installation and configuration skill for Agent Brain document search system.

    119 GitHub stars~7k tokensUpdated 21 days ago
    AI & LLM EngineeringAuto-check: notes
  • Adds an MCP server so the NanoClaw container agent can send prompts to local Ollama models, with optional tools to manage the model library.

    31k GitHub stars~3k tokensUpdated yesterday
    AI & LLM EngineeringAuto-check: notes

More from artokun/comfyui-mcp

All 42 skills in this repo
  • AI Toolkit Trainer

    artokun/comfyui-mcp

    Train custom LoRAs with ostris AI-Toolkit. An agent skill from artokun/comfyui-mcp.

    803 GitHub stars~2.7k tokensUpdated 6 days ago
    Auto-check passed
  • Anima Base

    artokun/comfyui-mcp

    Anime/illustration text-to-image (ANIMA 1.0, ~2B Cosmos DiT).

    803 GitHub stars~4k tokensUpdated 6 days ago
    Auto-check passed
  • Civitai

    artokun/comfyui-mcp

    Discover Civitai models with the BUILT-IN downloadmodel action:"searchcivitai" and install/generate them locally.

    803 GitHub stars~1.1k tokensUpdated 6 days ago
    Auto-check passed
  • Color Correction

    artokun/comfyui-mcp

    Diagnose and fix video/image color OBJECTIVELY with the getimage (action:"analyzecolor") tool (scopes/stats such as black/white points, contrast, saturation, clipping, cast) instead of eyeballing a…

    803 GitHub stars~2.4k tokensUpdated 6 days ago
    Auto-check passed
  • Comfyui Frontend Extensions

    artokun/comfyui-mcp

    Authoring ComfyUI v2 frontend extensions with @comfyorg/extension-api, covering defineNode/defineExtension/defineWidget, shell UI (sidebar tabs, commands, hotkeys), typed events, and handles.

    803 GitHub stars~5.4k tokensUpdated 6 days ago
    Auto-check passed
  • Comfyui Launch Flags

    artokun/comfyui-mcp

    Pick the right ComfyUI startup flags for VRAM, attention, caching, and speed.

    803 GitHub stars~3.1k tokensUpdated 6 days ago
    Auto-check passed

Questions about Local LLM Free

What does Local LLM Free do?

Run the ComfyUI agent locally for FREE with no subscription, no API key, and fully offline, using our gemma4 models fine-tuned on the comfyui-mcp tool suite via Ollama. Local LLM Free is an agent skill from artokun/comfyui-mcp. Run the ComfyUI agent locally for FREE with no subscription, no API key, and fully offline, using our gemma4 models fine-tuned on the comfyui-mcp tool suite via Ollama.

When should I use Local LLM Free?

Local LLM Free fits situations like: the user asks about running locally; running for free; avoiding API costs; which local model to pick.

How do I install Local LLM Free in Claude Code?

Run `npx skills add artokun/comfyui-mcp --skill local-llm-free -a claude-code`. Or copy the skill folder (plugin/skills/local-llm-free in artokun/comfyui-mcp) into .claude/skills/local-llm-free in your project. Claude Code loads it when a task matches its description.

How do I install Local LLM Free in Codex?

Run `npx skills add artokun/comfyui-mcp --skill local-llm-free -a codex`. Or copy the skill folder (plugin/skills/local-llm-free in artokun/comfyui-mcp) into .agents/skills/local-llm-free in your project. Codex loads it when a task matches its description.

Can I use Local LLM Free in Cursor, Gemini CLI or GitHub Copilot?

Cursor, Gemini CLI, GitHub Copilot and OpenCode also load SKILL.md folders. With the skills CLI, run `npx skills add artokun/comfyui-mcp --skill local-llm-free -a cursor` (or -a gemini-cli, github-copilot or opencode for the others). To copy it by hand, put the folder in .cursor/skills/local-llm-free, .gemini/skills/local-llm-free, .github/skills/local-llm-free and .opencode/skills/local-llm-free in your project.

What does Local LLM Free need to run?

Going by SKILL.md and its folder, Local LLM Free needs the command-line tools its instructions call (ollama, curl and sh).

Does Local LLM Free access the network?

SKILL.md names 2 domains. In commands or code: ollama.com; the agent is likely to contact it when it follows the instructions. As links in the text: comfyui-mcp.artokun.io. This is read from the text; nothing was executed.

Is Local LLM Free safe to install?

Our automated static check of SKILL.md found notes only (pipes a well-known installer script into a shell), nothing it rates as a warning. It is not a guarantee. Review the folder before installing.

What licence does Local LLM Free use?

Local LLM Free is published under the MIT licence (the repository's licence). It allows redistribution, so the full SKILL.md is shown on this page.

How many tokens does Local LLM Free use?

About 897 tokens (SKILL.md is roughly 3.6k characters). Agents keep only the skill's name and description in context until a task matches; then they load SKILL.md in full.

What are the alternatives to Local LLM Free?

Skills that share tags, products or a category with Local LLM Free: Integrate Model (tryonlabs/opentryon, 551 stars), Agent Framework (jihadkhawaja/Egroo, 178 stars), Setup (guaardvark/guaardvark, 258 stars) and Facturas (gustavoeenriquez/MakerAi, 212 stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.

Who maintains Local LLM Free?

artokun (a GitHub user) maintains it in artokun/comfyui-mcp, which has 803 GitHub stars. The repository holds 42 skills in this directory. The repository was last updated on October 5, 2026.

Source: artokun/comfyui-mcp on GitHub. Facts on this page come from the repository at the commit we read; the author's words are quoted as theirs.