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 timoncool/civitai-mcp-ultimate --skill civitai-mcp-ultimategit clone --depth 1 https://github.com/timoncool/civitai-mcp-ultimateWrote 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/timoncool/civitai-mcp-ultimate/civitai-mcp-ultimate)<a href="https://agentmods.dev/skills/timoncool/civitai-mcp-ultimate/civitai-mcp-ultimate"><img src="https://agentmods.dev/badge/skills/timoncool/civitai-mcp-ultimate/civitai-mcp-ultimate/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/timoncool/civitai-mcp-ultimate/civitai-mcp-ultimate"><img src="https://agentmods.dev/badge/skills/timoncool/civitai-mcp-ultimate/civitai-mcp-ultimate.svg" alt="Reviewed on agentmods" width="80" height="20"></a>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 | $0.00065 | $0.02683 |
| Opus 5.5 | $0.00026 | $0.01073 |
| Sonnet 5.5 | $0.00013 | $0.00537 |
| Haiku 4.5 | $0.00006 | $0.00268 |
Grade A, and why
civitai-mcp-ultimate scanned grade A with 1 finding 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 1mo 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.
Makes network callslowCapability
Not a fault in itself. Listed so you know the mod talks to something, and to what.
-> ready-to-paste curl/wget/PowerShell This is a copy
100% identical to civitai-mcp-ultimate — 1 line differ, which has more behind it and is treated as the original. This page carries a canonical link to it rather than competing with it.
How it starts
The opening of the file, as written. The whole thing — 216 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Civitai MCP Ultimate — 14 Tools Reference
Quick Tool Map
| Goal | Tool | Key Params |
|---|---|---|
| Find models by name | search_models |
query (Meilisearch), types, base_model |
| Find models by creator | search_models |
username (most reliable) |
| Batch fetch by IDs | search_models |
ids=[123, 456] |
| Full model details | get_model |
model_id |
| Version details + hashes | get_model_version |
version_id |
| Identify model from file | get_model_version_by_hash |
SHA256/AutoV2/CRC32/BLAKE3 |
| Top checkpoints | get_top_checkpoints |
base_model, period |
| Top LoRAs | get_top_loras |
base_model, nsfw |
| Browse images/videos | browse_images |
model_id, content_type, tag, base_model |
| Trending images/videos | get_top_images |
sort, period, content_type, browsing_level |
| Example images for model | get_model_images |
model_id |
| Extract best prompts | get_image_generation_data |
model_id |
| Download URL | get_download_url |
version_id |
| Download commands | get_download_info |
model_id, comfyui_path |
Common Recipes (Quick Reference)
Top image by likes yesterday, specific base model
get_top_images(sort="Most Reactions", period="Day", content_type="image", base_model="Flux.1 D", limit=1)
Top video by comments this week
get_top_images(sort="Most Comments", period="Week", content_type="video", limit=1)
Most popular SDXL model this month
search_models(base_model="SDXL 1.0", sort="Most Downloaded", period="Month", limit=1)
Top 5 images from the most popular Flux model today
search_models(types=["Checkpoint"], base_model="Flux.1 D", sort="Most Downloaded", period="Day", limit=1)
-> get model_id
get_model_images(model_id=ID, limit=5)
Community images for a model (sorted by reactions)
browse_images(model_id=ID, sort="Most Reactions", period="Month", limit=5)
NOTE: model_id auto-resolves to the latest version. To see images from a specific version, use model_version_id directly:
get_model(model_id=ID) # -> see all versions with IDs
browse_images(model_version_id=VERSION_ID, sort="Most Reactions", period="AllTime", limit=5)
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.
- 1mo ago First seen · 216 lines · 65 tokens per session scan A 2db9470f2ec0
civitai-mcp-ultimate is a skill published in the GitHub repository timoncool/civitai-mcp-ultimate (24 stars, last pushed yesterday), licensed MIT. It adds 65 tokens to every session and 2,683 once invoked, about $0.0003 per session on Opus 5.5. A static security scan graded it A with 1 finding (makes network calls). It is 100% identical to civitai-mcp-ultimate, differing in 1 line, and is treated as a copy.
Other skills, from other repositories
civitai-depot
Discover Civitai models and pin weights into the comfyops models depot.
Prompt craft for ComfyUI generation
Use when writing prompts for ComfyUI image or video models: choosing tags vs literary format, fixing composition and anatomy artifacts, picking samplers per LoRA, and writing short movement prompts for video. Neutral examples only.
diffusers-ascend-pipeline
A guide for running image and video generation pipelines on Huawei Ascend NPUs with the Diffusers library. Diffusers is a software library for using generative models, and the guide covers model pipelines, memory settings, LoRA adapters, and multi-card inference.
tinker-fine-tuning
Provides guidance for fine-tuning LLMs using the Tinker cloud training API from Thinking Machines Lab. Use when running supervised fine-tuning, reinforcement learning (GRPO/PPO), or LoRA training on cloud GPUs via Tinker's managed infrastructure instead of local compute.
colab-finetuning
Fine-tune LLMs on Google Colab GPUs directly from openscience. Connects to Colab runtimes via WebSocket bridge for remote training with Unsloth. Supports SFT, GRPO, DPO, vision, and TTS workflows on free T4 to Pro A100 GPUs.
finetuning
Use when adapting an open-weight model to a target form or behavior — tone, output format, reasoning pattern — via LoRA/QLoRA or full fine-tuning with TRL SFTTrainer, then preference optimization (DPO/ORPO/KTO/GRPO), and for fine-tune vs prompt vs RAG. NOT adding facts to a model (that is rag); NOT the single-GPU…