Getting it into your agent
It runs from inside its repository, so the clone comes first — what it calls does not travel with the file alone.
git clone --depth 1 https://github.com/oyusypenko/creonpx agentmods add skills/oyusypenko/creo/creo-image-generationWrote 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/oyusypenko/creo/creo-image-generation)<a href="https://agentmods.dev/skills/oyusypenko/creo/creo-image-generation"><img src="https://agentmods.dev/badge/skills/oyusypenko/creo/creo-image-generation/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/oyusypenko/creo/creo-image-generation"><img src="https://agentmods.dev/badge/skills/oyusypenko/creo/creo-image-generation.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 | $0.00058 | $0.00929 |
| Opus 5 | $0.00029 | $0.00464 |
| Sonnet 5 | $0.00012 | $0.00186 |
| Haiku 4.5 | $0.00006 | $0.00093 |
Grade A, and why
creo-image-generation 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 11d 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 — 108 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Creo Image Generation
Generate, optimize, and manage marketing images using AI (DALL-E 3 or ComfyUI with Stable Diffusion XL).
Commands
| Command | Description |
|---|---|
/creo image-generation generate |
Generate all images using DALL-E 3 |
/creo image-generation generate --seo-only |
Generate only SEO/OG images |
/creo image-generation generate --optimize-only |
Optimize existing images (resize, compress) |
/creo image-generation estimate |
Show cost estimation without generating |
/creo image-generation optimize |
Optimize all images in output directory |
/creo image-generation comfyui |
Generate images using local ComfyUI (SDXL) |
/creo image-generation comfyui landing |
Generate only landing page images via ComfyUI |
How It Works
DALL-E 3 (Cloud)
- Reads image configuration from
paths.js(or uses defaults) - Loads prompts from a
prompts.jsfile (set viaPROMPTS_FILEenv var) - Generates images via the OpenAI DALL-E 3 API
- Skips images that already exist on disk
- Optionally generates SEO overlay images
- Optimizes all images (resize, compress with sharp)
ComfyUI (Local)
- Requires a running ComfyUI instance (see
comfyui/SETUP.md) - Sends workflows to ComfyUI via its REST/WebSocket API
- Uses Stable Diffusion XL models for photorealistic output
- Supports batch generation by category
Environment Variables
| Variable | Required | Description |
|---|---|---|
OPENAI_API_KEY |
Yes (DALL-E) | OpenAI API key for DALL-E 3 generation |
IMAGE_CONFIG_DIR |
No | Directory containing paths.js config |
IMAGE_OUTPUT_DIR |
No | Output directory for generated images |
PROMPTS_FILE |
No | Path to prompts.js with generation prompts |
APP_NAME |
No | Application name for SEO image overlays |
COMFYUI_URL |
No | ComfyUI server URL (default: http://127.0.0.1:8000) |
Cost Reference (DALL-E 3)
| Quality | Size | Cost per Image |
|---|---|---|
| Standard | 1024x1024 | $0.040 |
| HD | 1792x1024 | $0.080 |
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.
- 11d ago First seen · 108 lines · 58 tokens per session scan A 01abb3f0a374
creo-image-generation is a skill published in the GitHub repository oyusypenko/creo (4 stars, last pushed 2d ago), licensed MIT. It adds 58 tokens to every session and 929 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 2026-08-31.
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