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 Buzzmatic/awesome-agent-skills --skill chatgpt-imagegengit clone --depth 1 https://github.com/Buzzmatic/awesome-agent-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/skills/buzzmatic/awesome-agent-skills/chatgpt-imagegen)<a href="https://agentmods.dev/skills/buzzmatic/awesome-agent-skills/chatgpt-imagegen"><img src="https://agentmods.dev/badge/skills/buzzmatic/awesome-agent-skills/chatgpt-imagegen/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/buzzmatic/awesome-agent-skills/chatgpt-imagegen"><img src="https://agentmods.dev/badge/skills/buzzmatic/awesome-agent-skills/chatgpt-imagegen.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 | $0.00096 | $0.02053 |
| Opus 5 | $0.00048 | $0.01026 |
| Sonnet 5 | $0.00019 | $0.00411 |
| Haiku 4.5 | $0.00010 | $0.00205 |
Grade A, and why
chatgpt-imagegen 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 — 220 lines — stays where its author put it; the contents beside it link to each section on GitHub.
ChatGPT Image Generation (OpenAI Image API)
Generate and edit images via the OpenAI Image API using GPT Image models. The
OPENAI_API_KEY is loaded automatically from the project root .env; no
manual export is required.
Default model
Always use gpt-image-2 unless the user explicitly asks for a different model.
The full list:
| Model | Notes |
|---|---|
gpt-image-2 |
Default. Latest, highest quality, flexible resolutions, high-fidelity edits. |
gpt-image-1.5 |
Older flagship — use only on explicit request. |
gpt-image-1 |
Legacy — use only on explicit request. |
gpt-image-1-mini |
Cheap/fast — use when the user asks for thumbnails or bulk drafts. |
Quick start
# Text → image (defaults: gpt-image-2, auto size, png)
python skills/chatgpt-imagegen/scripts/generate_image.py \
"a kawaii red panda wearing sunglasses" panda.png
# Landscape, high quality
python skills/chatgpt-imagegen/scripts/generate_image.py \
"epic mountain sunrise" mountain.png --size landscape --quality high
# Edit an existing image (inpaint via mask)
python skills/chatgpt-imagegen/scripts/edit_image.py \
"replace sky with stars" input.png out.png --mask sky_mask.png
# Compose from multiple references
python skills/chatgpt-imagegen/scripts/edit_image.py \
"group photo of these three people in a modern office" group.png \
--image person1.png --image person2.png --image person3.png
Both scripts return base64 image data and write it to disk. For n>1 the
files become name_1.png, name_2.png, etc.
Parameters
--size
gpt-image-2 accepts any custom resolution under these constraints: each edge
≤ 3840px and a multiple of 16, total pixels between 655,360 and 8,294,400,
aspect ratio ≤ 3:1.
The CLI accepts:
| Value | Meaning |
|---|---|
omitted / auto |
Let the model pick |
square |
1024×1024 |
landscape |
1536×1024 |
portrait |
1024×1536 |
4k |
3840×2160 |
WxH |
Custom, e.g. 2048x1280 |
What ships with it
5 files beside SKILL.md in the same directory: the scripts, references and assets a skill reads on demand. Not counted in the per-session cost; read them before you install if any of them is executable.
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 · 220 lines · 96 tokens per session scan A 63eb660abd37
chatgpt-imagegen is a skill published in the GitHub repository Buzzmatic/awesome-agent-skills (1 stars, last pushed 2mo ago), licensed MIT. It adds 96 tokens to every session and 2,053 once invoked, about $0.0005 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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