openai-image-gen

openai-image-gen is a skill for Claude Code, Codex from emanueleielo/ciana-parrot. It costs 34 tokens per session (461 once invoked), scanned A, original, MIT.

A procedure for generating images with OpenAI's DALL·E 3 image-generation API, which creates pictures from text descriptions.

In plain words
What is it for?
Use it when creating images in different sizes or styles, including illustrations, photographs, 3D renders, watercolor images, and pixel art.
Why use it?
It provides the request format and workflow needed to generate an image and retrieve its temporary result URL.

Skill for Claude CodeCodex

Written for no agent in particular: nothing here depends on one. Also seen: positional $N argument.

Good fit Use it when creating images in different sizes or styles, including illustrations, photographs, 3D renders, watercolor images, and pixel art.

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Install with agentmods
npx agentmods add skills/emanueleielo/ciana-parrot/openai-image-gen
Install

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.

Any agent
npx skills add emanueleielo/ciana-parrot --skill openai-image-gen
Clone the repo
git clone --depth 1 https://github.com/emanueleielo/ciana-parrot

Made for: Claude Code, Codex.

Wrote 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.

agentmods badge for openai-image-gen

README.md
[![agentmods](https://agentmods.dev/badge/skills/emanueleielo/ciana-parrot/openai-image-gen/github.svg)](https://agentmods.dev/skills/emanueleielo/ciana-parrot/openai-image-gen)
Your own site
<a href="https://agentmods.dev/skills/emanueleielo/ciana-parrot/openai-image-gen"><img src="https://agentmods.dev/badge/skills/emanueleielo/ciana-parrot/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.

agentmods 80×15 button for openai-image-gen

Your own site · 80×15
<a href="https://agentmods.dev/skills/emanueleielo/ciana-parrot/openai-image-gen"><img src="https://agentmods.dev/badge/skills/emanueleielo/ciana-parrot/openai-image-gen.svg" alt="Reviewed on agentmods" width="80" height="20"></a>
Per session 34 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 461 The whole file, excluding the scripts and references it only reads on demand.
Security scan A 1 finding. A grade says what 26 rules found in the file — not that it is safe.
Origin original No closer match found in the catalogue.
Token cost

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.

ModelPer sessionOnce invoked
Fable 5.1 $0.00034 $0.00461
Opus 5 $0.00017 $0.00230
Sonnet 5 $0.00007 $0.00092
Haiku 4.5 $0.00003 $0.00046

Measured 12d ago against content hash c4b1a39c3181, method: parsed. Prices are Anthropic first-party input rates as of 2026-09-12, from the pricing page.

Security

Grade A, and why

openai-image-gen 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 12d 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.

curl -s -X POST "https://api.openai.com/v1/images/generations" \
skills/openai-image-gen/SKILL.md · 68 lines

What it actually says

OpenAI Image Generation

Generate images using DALL-E 3.

When to Use

  • "Generate an image of..."
  • "Create a picture of..."
  • "Draw me a..."
  • "Make an illustration for..."

Generate an Image

curl -s -X POST "https://api.openai.com/v1/images/generations" \
  -H "Authorization: Bearer $OPENAI_API_KEY" \
  -H "Content-Type: application/json" \
  -d '{
    "model": "dall-e-3",
    "prompt": "A detailed description of the image...",
    "size": "1024x1024",
    "quality": "standard",
    "n": 1
  }'

Options

Sizes

  • 1024x1024 — Square (default)
  • 1792x1024 — Landscape
  • 1024x1792 — Portrait

Quality

  • standard — Faster, cheaper (~$0.04)
  • hd — More detail (~$0.08)

Response

Returns JSON with data[0].url (temporary, expires in 1 hour) and data[0].revised_prompt.

Workflow

  1. Craft a detailed prompt from user's request
  2. Generate via API
  3. Extract URL from data[0].url
  4. Share URL with user
  5. Optionally save: curl -s -o image.png "GENERATED_URL"

Prompt Tips

  • Be specific: style, composition, lighting, colors
  • Include medium: photorealistic, watercolor, 3D render, pixel art
  • Mention what should NOT appear if important

Notes

  • URLs expire after 1 hour — download to keep
  • Content policy applies — some prompts may be refused
  • DALL-E 3 may revise your prompt (check revised_prompt in response)
Changes

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.

  1. 12d ago First seen · 68 lines · 34 tokens per session scan A c4b1a39c3181

Subscribe to this mod's changes

openai-image-gen is a skill published in the GitHub repository emanueleielo/ciana-parrot (77 stars, last pushed 4mo ago), licensed MIT. It adds 34 tokens to every session and 461 once invoked, about $0.0002 per session on Opus 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.

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