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 agentmods add skills/feiskyer/codex-settings/gpt-image-skillnpx skills add feiskyer/codex-settings --skill gpt-image-skillgit clone --depth 1 https://github.com/feiskyer/codex-settingsWrote 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/feiskyer/codex-settings/gpt-image-skill)<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="Measured on agentmods" 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 | $0.00112 | $0.01532 |
| Opus 5 | $0.00056 | $0.00766 |
| Sonnet 5 | $0.00022 | $0.00306 |
| Haiku 4.5 | $0.00011 | $0.00153 |
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 5d 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 — 188 lines — stays where its author put it; the contents beside it link to each section on GitHub.
GPT Image Skill
Generate or edit images using OpenAI's GPT Image models through a bundled Python script.
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
- OPENAI_API_KEY: Must be configured in
~/.gpt-image.envorexport OPENAI_API_KEY=<your-key> - OPENAI_API_BASE (optional): Custom API base URL for compatible endpoints (e.g. Azure OpenAI, proxies). Set in
~/.gpt-image.envor export it. - Python3 with dependencies: openai, httpx, python-dotenv. Install via
python3 -m pip install -r "<skill-dir>/requirements.txt"if not installed yet. - Executable:
<skill-dir>/gpt_image.py
Instructions
For image generation
-
Ask the user for:
- What they want to create (the prompt)
- Desired size (optional, defaults to 1024x1024)
- Output filename (optional, auto-generates UUID-based name if not specified)
- Model preference (optional, defaults to gpt-image-2)
- Quality (optional, defaults to auto)
- Number of images (optional, defaults to 1)
-
Run the script:
python3 "<skill-dir>/gpt_image.py" --prompt "description of image" --output "filename.png" -
Show the user the saved image path when complete.
For image editing
-
Ask the user for:
- Input image file(s) to edit
- What changes they want (the prompt)
- Output filename (optional)
-
Run with input images:
python3 "<skill-dir>/gpt_image.py" edit --prompt "editing instructions" --input image1.png image2.png --output "edited.png"Parent directories in the output path are created automatically. When
--formatis omitted, the script infers it from.png,.jpg/.jpeg, or.webp; otherwise it defaults to PNG.
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.
- 5d ago First seen · 188 lines · 112 tokens per session scan A 80d9e32f6223
gpt-image-skill is a skill published in the GitHub repository feiskyer/codex-settings (237 stars, last pushed 23d ago), licensed MIT. It adds 112 tokens to every session and 1,532 once invoked, about $0.0006 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 2026-08-30.
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