Getting it into your agent
One page per mod, every tool's command on it. A separate URL per tool would split the same page into five that compete with each other.
npx skills add artokun/comfyui-mcp --skill anima-basegit clone --depth 1 https://github.com/artokun/comfyui-mcpWrote this? Show the measurements
A badge with what this costs and how it scanned, read live from this page, so it follows the numbers instead of freezing them. Markdown for a README, HTML for a documentation site or a project page.
[](https://agentmods.dev/skills/artokun/comfyui-mcp/anima-base)<a href="https://agentmods.dev/skills/artokun/comfyui-mcp/anima-base"><img src="https://agentmods.dev/badge/skills/artokun/comfyui-mcp/anima-base/github.svg" alt="Measured on agentmods" height="20"></a>Or the 80×15 button, for a site that already has a row of RSS and ATOM ones. Only the verdict fits; the numbers stay here.
<a href="https://agentmods.dev/skills/artokun/comfyui-mcp/anima-base"><img src="https://agentmods.dev/badge/skills/artokun/comfyui-mcp/anima-base.svg" alt="Reviewed on agentmods" width="80" height="20"></a>- NVIDIA SkillSpector pass
What it costs to keep this loaded
Counted locally with the o200k_base tokenizer, which is exact for GPT models; Claude uses its own tokenizer and its counts differ. Treat this as one consistent yardstick across the catalogue rather than a bill. Prices are per million input tokens.
| Model | Per session | Once invoked |
|---|---|---|
| Fable 5.1 | $0.00066 | $0.05116 |
| Opus 5 | $0.00033 | $0.02558 |
| Sonnet 5 | $0.00013 | $0.01023 |
| Haiku 4.5 | $0.00007 | $0.00512 |
Grade A, and why
anima-base scanned grade A with 0 findings against 26 rules in 11 categories — prompt injection, anti-refusal, data exfiltration, privilege escalation, supply chain, agent snooping, system-prompt leakage, SSRF and excessive agency — measured 9d ago.
A static scan of the body, not an audit. Every finding is printed with the line that produced it so you can judge whether it matters here. A mod is markdown that instructs an agent; that is exactly why what it instructs is worth reading.
Nothing flagged
None of the 26 patterns this scan looks for appear in this file: no shell pipes, no recursive deletes, no credential paths, no hidden text, no instruction-override or anti-refusal phrasing, no agent-config snooping. That is not a guarantee, it is the absence of the things that are checkable.
How it starts
The opening of the file, as written. The whole thing — 248 lines — stays where its author put it; the contents beside it link to each section on GitHub.
ANIMA 1.0 (Anima Base Ultra) Text-to-Image Workflows
Overview
Anima is a ~2B-parameter anime / illustration text-to-image base model from CircleStone Labs, made in collaboration with Comfy Org. It is not SDXL-lineage. The architecture is NVIDIA Cosmos-Predict2-2B-Text2Image (a DiT / flow model), trained on several million anime images plus ~800k non-anime artistic images. It suits anime, manga, and illustrated characters and styles, not realism.
Key traits:
- Accepts Danbooru-style tags and/or natural language in the same prompt.
- Very low VRAM. It generates and trains on <6GB VRAM and runs on any PC that can run SDXL/Illustrious.
- License: CircleStone Labs Non-Commercial License, with NVIDIA Open Model License terms on the weights and derivatives. Generated images are usable commercially per the model card. Verify the current license text before relying on this.
ComfyUI loads it with standard split-file loaders, not a single checkpoint:
| Component | Node | Model file | Folder | Notes |
|---|---|---|---|---|
| Diffusion model | UNETLoader |
anima-base-v1.0.safetensors |
models/diffusion_models/ |
weight_dtype default; ~4GB fp |
| Text encoder | CLIPLoader |
qwen_3_06b_base.safetensors |
models/text_encoders/ |
Qwen3-0.6B base; type": "stable_diffusion" in this pack |
| VAE | VAELoader |
qwen_image_vae.safetensors |
models/vae/ |
Qwen-Image VAE (~254MB) |
Verified from the pack's workflow JSON:
CLIPLoaderwidget values are["qwen_3_06b_base.safetensors", "stable_diffusion", "default"]. The HF model card describes standard loaders; the exact CLIPtypestringstable_diffusionis what the Aitrepreneur "Anima Base Ultra" workflow ships. Use it as-is.
Installation
The "Anima Base Ultra" pack (by Aitrepreneur) installs custom nodes and downloads all models. Models are mirrored on https://huggingface.co/Aitrepreneur/FLX/resolve/main; the official source is https://huggingface.co/circlestone-labs/Anima.
What this file has done since we first saw it
Hashed on every crawl. A supply-chain change to an agent config is a question of when, not whether, so the history is kept rather than the latest state alone.
- 9d ago First seen · 248 lines · 66 tokens per session scan A e0f92f7b5607
anima-base is a skill published in the GitHub repository artokun/comfyui-mcp (730 stars, last pushed yesterday), licensed MIT. It adds 66 tokens to every session and 5,116 once invoked, about $0.0003 per session on Opus 5. A static security scan graded it A with 0 findings. No closer match exists in the catalogue, so it is treated as the original; first seen 2026-08-30.
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