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 MCKRUZ/ComfyUI-Expert --skill comfyui-apigit clone --depth 1 https://github.com/MCKRUZ/ComfyUI-ExpertWrote 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/mckruz/comfyui-expert/comfyui-api)<a href="https://agentmods.dev/skills/mckruz/comfyui-expert/comfyui-api"><img src="https://agentmods.dev/badge/skills/mckruz/comfyui-expert/comfyui-api/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/mckruz/comfyui-expert/comfyui-api"><img src="https://agentmods.dev/badge/skills/mckruz/comfyui-expert/comfyui-api.svg" alt="Reviewed on agentmods" width="80" height="20"></a>- Socket pass
- Snyk 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 | $0.00051 | $0.01282 |
| Opus 5.5 | $0.00020 | $0.00513 |
| Sonnet 5.5 | $0.00010 | $0.00256 |
| Haiku 4.5 | $0.00005 | $0.00128 |
Grade A, and why
comfyui-api 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.
metadata: {"openclaw":{"emoji":"🔌","os":["darwin","linux","win32"],"requires":{"anyBins":["curl","wget"]},"primaryEnv":"COMFYUI_URL"}} How it starts
The opening of the file, as written. The whole thing — 174 lines — stays where its author put it; the contents beside it link to each section on GitHub.
ComfyUI API Skill
Connect to ComfyUI's REST API to execute workflows, monitor progress, and retrieve outputs.
Configuration
- Default URL:
http://127.0.0.1:8188 - Custom URL: Set in project manifest or pass as parameter
- Timeout: 30s for API calls, no timeout for generation polling
Two Modes
Online Mode (ComfyUI Running)
Full API access. Preferred mode for interactive work.
- Test connection:
GET /system_stats - Discover capabilities: Use
comfyui-inventoryskill - Queue workflow:
POST /prompt - Poll for results:
GET /history/{prompt_id}every 5 seconds - Retrieve outputs:
GET /view?filename=...
Offline Mode (No Server)
Export workflow JSON for manual loading in ComfyUI.
- Generate workflow JSON following ComfyUI's format
- Save to
projects/{project}/workflows/{name}.json - Instruct user to drag-drop into ComfyUI
API Operations
Check Server Status
curl http://127.0.0.1:8188/system_stats
Response fields:
system.os: Operating systemsystem.comfyui_version: Version stringdevices[0].name: GPU namedevices[0].vram_total: Total VRAM bytesdevices[0].vram_free: Free VRAM bytes
Queue a Workflow
curl -X POST http://127.0.0.1:8188/prompt \
-H "Content-Type: application/json" \
-d '{"prompt": WORKFLOW_JSON, "client_id": "video-agent"}'
WORKFLOW_JSON format:
{
"1": {
"class_type": "LoadCheckpoint",
"inputs": {
"ckpt_name": "flux1-dev.safetensors"
}
},
"2": {
"class_type": "CLIPTextEncode",
"inputs": {
"text": "photorealistic portrait...",
"clip": ["1", 1]
}
}
}
Each node is keyed by a string ID. Inputs reference other nodes as ["{node_id}", {output_index}].
Response:
{"prompt_id": "abc-123-def", "number": 1}
Poll for Completion
curl http://127.0.0.1:8188/history/abc-123-def
Incomplete: Returns {} (empty object)
Complete: Returns execution data with outputs:
{
"abc-123-def": {
"outputs": {
"9": {
"images": [{"filename": "ComfyUI_00001.png", "subfolder": "", "type": "output"}]
}
},
"status": {"completed": true}
}
}
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 · 174 lines · 51 tokens per session scan A efce79b1633f
comfyui-api is a skill published in the GitHub repository MCKRUZ/ComfyUI-Expert (92 stars, last pushed 7mo ago), licensed MIT. It adds 51 tokens to every session and 1,282 once invoked, about $0.0002 per session on Opus 5.5. A static security scan graded it A with 1 finding (makes network calls). No closer match exists in the catalogue, so it is treated as the original; first seen 2026-08-30.
Other skills, from other repositories
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.
ai-media-generator
A workflow for turning ideas into prompts for AI-generated images, videos, and music across several media platforms. When needed, it can also send those prompts to the chosen platform through browser automation.
minimax-h3
Write, debug and structure prompts for MiniMax H3 video generation (T2VA, I2VA, FL2VA, L2VA, Ref2VA) and configure its ComfyUI workflow. Use when the user mentions MiniMax H3, minimaxh3, fl2va, ref2va, MiniMaxH3ReferenceToVideo, reference-to-video, asks to animate a photo, write a video prompt, pick a model quant, or…
minimax-h3-reel-maker
Prepare MiniMax H3 Ref2VA reels in two workflows: reproduce a supplied source clip with scene photos, pose/depth ControlNet and TS smoother, or create a new video from photos and text alone. Use for H3 reference-based video preparation and its ComfyUI graphs.
handoff
Work with Master Canvas AI video handoff packages. Use when a user provides a Master Canvas ZIP or projectmanifest.json and wants Hermes to inspect assets, preserve scene and shot order, prepare ComfyUI/LTX 2.3 jobs, or hand off prompts to Kling, Veo, or another video generation operator. Also use when a user wants…
local-ai-film
A directing workflow for producing AI short films with local or cloud-based models, including atmospheric films, trailers, vlogs, and dialogue-driven stories. It covers creative decisions, avoiding repetitive results, production steps, and final editing.