gpt-image-skill

gpt-image-skill is a skill for Codex from feiskyer/codex-settings. It costs 38 tokens per session (549 once invoked), scanned A, original, MIT.

A workflow for generating or editing images with OpenAI's image-generation API, using a bundled Python script.

In plain words
What is it for?
Use it to create new images or modify existing ones when the user asks for AI-generated artwork or image edits.
Why use it?
It provides a defined process for image requests, including required credentials, dependencies, output locations, and model options.

Skill for Codex

Written for Codex: agents/openai.yaml present.

Good fit Use it to create new images or modify existing ones when the user asks for AI-generated artwork or image edits.

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Install with agentmods
npx agentmods add skills/feiskyer/codex-settings/gpt-image-skill
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 feiskyer/codex-settings --skill gpt-image-skill
Clone the repo
git clone --depth 1 https://github.com/feiskyer/codex-settings

Made for: 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 gpt-image-skill

README.md
[![agentmods](https://agentmods.dev/badge/skills/feiskyer/codex-settings/gpt-image-skill/github.svg)](https://agentmods.dev/skills/feiskyer/codex-settings/gpt-image-skill)
Your own site
<a href="https://agentmods.dev/skills/feiskyer/codex-settings/gpt-image-skill"><img src="https://agentmods.dev/badge/skills/feiskyer/codex-settings/gpt-image-skill/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 gpt-image-skill

Your own site · 80×15
<a href="https://agentmods.dev/skills/feiskyer/codex-settings/gpt-image-skill"><img src="https://agentmods.dev/badge/skills/feiskyer/codex-settings/gpt-image-skill.svg" alt="Reviewed on agentmods" width="80" height="20"></a>
Per session 38 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 549 The whole file, excluding the scripts and references it only reads on demand.
Security scan A 0 findings. A grade says what 26 rules found in the file — not that it is safe. Third-party audits
  • NVIDIA SkillSpector warn 7 Sept 2026
SkillSpector: 1 finding, up to medium

These are SkillSpector’s own severities. On a checked sample its high-severity flags on skills were ~96% false positives — a documented command, a public API, a “never do X” rule — so we show them as a caution to read, not a verdict. Why →

  • medium Rogue Agent · line 3
    Skill establishes unauthorized persistence across sessions via cron jobs, startup scripts, or state files. Session persistence allows an attacker to maintain access beyond the current interaction.
    Fix: Remove any persistence mechanisms (cron jobs, startup scripts, state files). Skills should not maintain state across sessions without explicit user consent.
How audits are shown
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 $0.00038 $0.00549
Opus 5.5 $0.00015 $0.00220
Sonnet 5.5 $0.00008 $0.00110
Haiku 4.5 $0.00004 $0.00055

Measured 23d ago against content hash e8a84dd2a096, method: parsed. Prices are Anthropic first-party input rates as of 2026-10-07, from the pricing page.

Security

Grade A, and why

gpt-image-skill 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 23d ago.

The scan reads SKILL.md. This mod also ships 2 executable files (gpt_image.py, tests/test_gpt_image.py), listed below but not scanned — reading those needs a real analyzer, not pattern matching.

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.

skills/gpt-image-skill/SKILL.md · 46 lines

How it starts

The opening of the file, as written. The whole thing — 46 lines — stays where its author put it; the contents beside it link to each section on GitHub.

GPT Image Skill

Generate or edit images with OpenAI's GPT Image models through the bundled gpt_image.py.

Resolve the skill directory

Before running any command, resolve the absolute directory containing this SKILL.md and refer to it as <skill-dir>. Never assume the current working directory is the skill directory. Keep user input and output paths relative to the user's working directory unless the user requests another location.

Requirements

  1. OPENAI_API_KEY in ~/.gpt-image.env or the shell environment.
  2. OPENAI_API_BASE (optional) for compatible endpoints such as Azure OpenAI or a proxy, in the same places.
  3. Python dependencies: python3 -m pip install -r "<skill-dir>/requirements.txt".
  4. Executable: <skill-dir>/gpt_image.py.

Run it

Generate:

python3 "<skill-dir>/gpt_image.py" --prompt "Modern minimalist logo for a tech startup" \
  --quality high --background transparent --output "logo.png"

Edit or combine references:

python3 "<skill-dir>/gpt_image.py" edit --prompt "Add a rainbow in the sky" \
  --input photo.png --output "photo-with-rainbow.png"

edit accepts several --input files to composite multiple references into one image.

Options live on the subcommands, so read them with generate --help or edit --help — the bare python3 "<skill-dir>/gpt_image.py" --help only lists the two modes. That is where the current --model, --size, --quality, --format, --background, and --n values are; every one has a working default, so pass only what the request actually constrains. Parent directories in the output path are created automatically, and an omitted --format is inferred from the .png, .jpg/.jpeg, or .webp extension, defaulting to PNG.

Report the saved path when the run completes.

When a run fails

Check that OPENAI_API_KEY is set and, for a custom endpoint, that OPENAI_API_BASE is correct; confirm input images exist and are readable, the output directory is writable, and the model name is valid. Do not report success unless an image was saved locally.

Read the full file on GitHub · 46 lines

Files

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.

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. 23d ago Changed · -20 tokens per session e8a84dd2a096
  2. 28d ago Changed · -142 lines · -54 tokens per session 73282b18fa5a
  3. 1mo ago First seen · 188 lines · 112 tokens per session scan A 80d9e32f6223

Subscribe to this mod's changes

gpt-image-skill is a skill published in the GitHub repository feiskyer/codex-settings (247 stars, last pushed 24d ago), licensed MIT. It adds 38 tokens to every session and 549 once invoked, about $0.0002 per session on Opus 5.5. 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.

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