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.
git clone --depth 1 https://github.com/Comfy-Org/comfy-skillsWrote 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/commands/comfy-org/comfy-skills/generate-3d)<a href="https://agentmods.dev/commands/comfy-org/comfy-skills/generate-3d"><img src="https://agentmods.dev/badge/commands/comfy-org/comfy-skills/generate-3d.svg" alt="Measured on agentmods" 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 | $0.00010 | $0.00856 |
| Opus 5 | $0.00005 | $0.00428 |
| Sonnet 5 | $0.00002 | $0.00171 |
| Haiku 4.5 | $0.00001 | $0.00086 |
Grade A, and why
generate-3d 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 8d 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.
What it actually says
Generate a 3D model using Comfy Cloud based on the user's description: $ARGUMENTS
Approach: prefer a ready-made template over hand-building, and discover the current options with the tools rather than assuming a fixed catalog. Model, node, and template availability changes over time, so let the tools tell you what exists right now.
Step 0 - Partner-API shortcut. If the user named a provider or capability (Meshy, Tripo, Rodin, Tencent, and so on), find the matching node with search_nodes filtered by category: "api node/3d" (optionally add a q for the provider name). If a matching api node/3d/... node exists, try partner_generate first with type: "3d" and that provider's model slug, plus prompt and any optional fields (seed, medias[]). On success, return the artifact URL(s) and stop. If it returns "unknown model" or "not yet implemented", continue below.
-
Look for a template first. Call
search_templateswithtag: "Image to 3D"(image-to-3D is the common case), and/orq: "3d"for the broader set. If a suitable template comes back, clone it as your base workflow: swap in the user's input (such as the reference image) and adjust settings instead of building from scratch. Cloning a template is almost always faster than hand-wiring nodes, so spend real effort here before falling through to step 2. -
If no template fits, discover nodes structurally - do not free-text guess. Use
search_nodeswith its typed filters, which match against the live catalog:output_type: "FILE_3D_GLB"(alsoMESH,FILE_3D_OBJ) to find nodes that produce a 3D file.category: "3d"orcategory: "api node/3d"to browse the 3D nodes.input_type: "IMAGE"to find what accepts an image, for image-to-3D.
Use
search_modelsfor any checkpoints the chosen nodes require. Do not paste in remembered model or node names - query for them, because the set changes. -
If the user provides a reference image (image-to-3D),
upload_fileit first. -
Build a ComfyUI API-format workflow JSON, or edit the cloned template. A 3D workflow generally chains an input, a 3D generation or reconstruction node, and a 3D save/output node.
-
Validate inputs and outputs before submitting. Confirm the workflow has:
- at least one input node carrying the user's intent (a text prompt node, or LoadImage for image-to-3D), and
- at least one save/output node wired to the final mesh. If you are unsure of the exact node, find it with
search_nodes output_type: "FILE_3D_GLB".
API and partner nodes often produce an output but include no save node by default. Add and wire one, or the job runs and produces nothing retrievable, wasting compute. Do not skip this check.
-
Call
submit_workflow. 3D generation can take longer than image generation. -
Poll
get_job_statusevery 5 seconds until completed, showing brief status updates while waiting. If the user asks to cancel, usecancel_jobwith the prompt_id. -
Call
get_outputto retrieve the result. Pass a shortdescription(for example "red sports car 3d model") so the saved file gets a descriptive name. -
Tell the user where the files were saved. 3D outputs may include mesh files (.obj, .glb), textures, or rendered preview images.
If a step fails, show the error clearly and use the search tools to find a current alternative rather than assuming none exists.
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.
- 8d ago First seen · 39 lines · 10 tokens per session scan A 3e053ef7f976
generate-3d is a command published in the GitHub repository Comfy-Org/comfy-skills (190 stars, last pushed 2d ago), licensed MIT. It adds 10 tokens to every session and 856 once invoked, about $0.0001 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.
Other commands, from other repositories
audio-pass
Functional audio review for implementation, mix coverage, clarity, and player feedback.
assemble-montage
You are the EDITOR expert in the Video Recreation Agent Team.
ref
Upload a local image as reference for generation. Returns a public URL.
generate
Generate a textured 3D model from a text prompt (full Meshy preview→refine→download pipeline).
text-to-3d
Generate a static textured GLB from one subject description, locally.
artist
Artist — 2D pixel art: PixelLab MCP, Aseprite CLI, Gemini concepts.