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/SeanHogg/Builderforce.ainpx agentmods add skills/seanhogg/builderforce.ai/openai-image-genWrote 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/seanhogg/builderforce.ai/openai-image-gen)<a href="https://agentmods.dev/skills/seanhogg/builderforce.ai/openai-image-gen"><img src="https://agentmods.dev/badge/skills/seanhogg/builderforce.ai/openai-image-gen/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/seanhogg/builderforce.ai/openai-image-gen"><img src="https://agentmods.dev/badge/skills/seanhogg/builderforce.ai/openai-image-gen.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 | $0.00025 | $0.00922 |
| Opus 5 | $0.00013 | $0.00461 |
| Sonnet 5 | $0.00005 | $0.00184 |
| Haiku 4.5 | $0.00003 | $0.00092 |
Grade A, and why
openai-image-gen 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 10d 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.
This is a copy
91% identical to openai-image-gen — 6 lines 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 — 92 lines — stays where its author put it; the contents beside it link to each section on GitHub.
OpenAI Image Gen
Generate a handful of “random but structured” prompts and render them via the OpenAI Images API.
Run
python3 {baseDir}/scripts/gen.py
open ~/Projects/tmp/openai-image-gen-*/index.html # if ~/Projects/tmp exists; else ./tmp/...
Useful flags:
# GPT image models with various options
python3 {baseDir}/scripts/gen.py --count 16 --model gpt-image-1
python3 {baseDir}/scripts/gen.py --prompt "ultra-detailed studio photo of a droid astronaut" --count 4
python3 {baseDir}/scripts/gen.py --size 1536x1024 --quality high --out-dir ./out/images
python3 {baseDir}/scripts/gen.py --model gpt-image-1.5 --background transparent --output-format webp
# DALL-E 3 (note: count is automatically limited to 1)
python3 {baseDir}/scripts/gen.py --model dall-e-3 --quality hd --size 1792x1024 --style vivid
python3 {baseDir}/scripts/gen.py --model dall-e-3 --style natural --prompt "serene mountain landscape"
# DALL-E 2
python3 {baseDir}/scripts/gen.py --model dall-e-2 --size 512x512 --count 4
Model-Specific Parameters
Different models support different parameter values. The script automatically selects appropriate defaults based on the model.
Size
- GPT image models (
gpt-image-1,gpt-image-1-mini,gpt-image-1.5):1024x1024,1536x1024(landscape),1024x1536(portrait), orauto- Default:
1024x1024
- Default:
- dall-e-3:
1024x1024,1792x1024, or1024x1792- Default:
1024x1024
- Default:
- dall-e-2:
256x256,512x512, or1024x1024- Default:
1024x1024
- Default:
Quality
- GPT image models:
auto,high,medium, orlow- Default:
high
- Default:
- dall-e-3:
hdorstandard- Default:
standard
- Default:
- dall-e-2:
standardonly- Default:
standard
- Default:
Other Notable Differences
- dall-e-3 only supports generating 1 image at a time (
n=1). The script automatically limits count to 1 when using this model. - GPT image models support additional parameters:
--background:transparent,opaque, orauto(default)--output-format:png(default),jpeg, orwebp- Note:
streamandmoderationare available via API but not yet implemented in this script
- dall-e-3 has a
--styleparameter:vivid(hyper-real, dramatic) ornatural(more natural looking)
What ships with it
1 file 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.
- 10d ago First seen · 92 lines · 25 tokens per session scan A 0b6a26541121
openai-image-gen is a skill published in the GitHub repository SeanHogg/Builderforce.ai (5 stars, last pushed today), licensed MIT. It adds 25 tokens to every session and 922 once invoked, about $0.0001 per session on Opus 5. A static security scan graded it A with 0 findings. It is 91% identical to openai-image-gen, differing in 6 lines, and is treated as a copy.
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