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 gvastethecreator/codex-studio --skill imagegengit clone --depth 1 https://github.com/gvastethecreator/codex-studioWrote 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/gvastethecreator/codex-studio/imagegen)<a href="https://agentmods.dev/skills/gvastethecreator/codex-studio/imagegen"><img src="https://agentmods.dev/badge/skills/gvastethecreator/codex-studio/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/gvastethecreator/codex-studio/imagegen"><img src="https://agentmods.dev/badge/skills/gvastethecreator/codex-studio/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 | $0.00113 | $0.05928 |
| Opus 5.5 | $0.00045 | $0.02371 |
| Sonnet 5.5 | $0.00023 | $0.01186 |
| Haiku 4.5 | $0.00011 | $0.00593 |
Grade A, and why
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 1mo 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
83% identical to imagegen — 148 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 — 434 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Image Generation Skill
Attribution: This skill is a derivation of the OpenAI Codex CLI system image-generation skill that ships at
~/.codex/skills/.system/imagegen/in the upstream Codex CLI. Upstream is distributed under the Apache License, Version 2.0; the full license text is preserved verbatim atskills/imagegen/LICENSE.txt(theCopyright [yyyy] [name of copyright owner]line is the unmodified Apache 2.0 template and refers to the upstream copyright holder, not the Codex Studio project). SeeTHIRD_PARTY_LICENSES.mdat the repo root for the consolidated third-party license index.
Generates or edits images for the current project (for example website assets, game assets, UI mockups, product mockups, wireframes, logo design, photorealistic images, or infographics).
Top-level modes and rules
This skill has exactly two top-level modes:
- Default built-in tool mode (preferred): built-in
image_gentool for normal image generation, editing, and simple transparent-image requests. Does not requireOPENAI_API_KEY. - Fallback CLI mode:
scripts/image_gen.pyCLI. Use when the user explicitly asks for the CLI/API/model path, or after the user explicitly confirms a true model-native transparency fallback withgpt-image-1.5. RequiresOPENAI_API_KEY.
Within CLI fallback, the CLI exposes three subcommands:
generateeditgenerate-batch
Rules:
- Use the built-in
image_gentool by default for normal image generation and editing requests. - Do not switch to CLI fallback for ordinary quality, size, or file-path control.
- If the user explicitly asks for a transparent image/background, stay on built-in
image_genfirst: prompt for a flat removable chroma-key background, then remove it locally with the installed helper at$CODEX_HOME/skills/.system/imagegen/scripts/remove_chroma_key.py. - Never silently switch from built-in
image_genor CLIgpt-image-2to CLIgpt-image-1.5. Treat this as a model/path downgrade and ask the user before doing it, unless the user has already explicitly requestedgpt-image-1.5,scripts/image_gen.py, or CLI fallback. - If a transparent request appears too complex for clean chroma-key removal, asks for true/native transparency, or local removal fails validation, explain that true transparency requires CLI
gpt-image-1.5 --background transparent --output-format pngbecausegpt-image-2does not supportbackground=transparent, then ask whether to proceed. Run the CLI fallback only after the user confirms. - The word
batchby itself does not mean CLI fallback. If the user asks for many assets or says to batch-generate assets without explicitly asking for CLI/API/model controls, stay on the built-in path and issue one built-in call per requested asset or variant. - If the built-in tool fails or is unavailable, tell the user the CLI fallback exists and that it requires
OPENAI_API_KEY. Proceed only if the user explicitly asks for that fallback. - If the user explicitly asks for CLI mode, use the bundled
scripts/image_gen.pyworkflow. Do not create one-off SDK runners. - Never modify
scripts/image_gen.py. If something is missing, ask the user before doing anything else.
What ships with it
11 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.
- agents/openai.yaml 275 B
- assets/imagegen-small.svg 2.8 KB
- assets/imagegen.png 1.7 KB
- LICENSE.txt 11 KB
- references/cli.md 10.0 KB
- references/codex-network.md 1.7 KB
- references/image-api.md 7.3 KB
- references/prompting.md 9.7 KB
- references/sample-prompts.md 19 KB
- scripts/image_gen.py 33 KB runs code
- scripts/remove_chroma_key.py 14 KB runs code
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.
- 1mo ago Changed 8f1a6ed5a95e
- 1mo ago First seen · 434 lines · 113 tokens per session scan A a36f22d5d219
imagegen is a skill published in the GitHub repository gvastethecreator/codex-studio (16 stars, last pushed 25d ago), licensed MIT. It adds 113 tokens to every session and 5,928 once invoked, about $0.0005 per session on Opus 5.5. A static security scan graded it A with 0 findings. It is 83% identical to imagegen, differing in 148 lines, and is treated as a copy.
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