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 ThrownLemon/claude-code-plugins --skill imagegengit clone --depth 1 https://github.com/ThrownLemon/claude-code-pluginsWrote 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/thrownlemon/claude-code-plugins/imagegen)<a href="https://agentmods.dev/skills/thrownlemon/claude-code-plugins/imagegen"><img src="https://agentmods.dev/badge/skills/thrownlemon/claude-code-plugins/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/thrownlemon/claude-code-plugins/imagegen"><img src="https://agentmods.dev/badge/skills/thrownlemon/claude-code-plugins/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 | $0.00030 | $0.01104 |
| Opus 5.5 | $0.00012 | $0.00442 |
| Sonnet 5.5 | $0.00006 | $0.00221 |
| Haiku 4.5 | $0.00003 | $0.00110 |
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
95% identical to imagegen — 4 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 — 136 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Image Generation Skill
This skill enables AI-powered image generation, editing, and asset creation using Google Gemini (Gemini) and OpenAI GPT-Image.
When to Use
Activate this skill when the user wants to:
- Generate images from text descriptions
- Edit or modify existing images
- Create project assets (icons, favicons, social images)
- Generate design inspiration (moodboards)
- Create consistent character designs
- Compare different AI image providers
Available Commands
| Command | Use For |
|---|---|
/imagegen:generate |
Generate images from prompts |
/imagegen:edit |
Edit existing images |
/imagegen:iterate |
Refine images through multiple steps |
/imagegen:compare |
Compare Google vs OpenAI |
/imagegen:assets |
Generate project assets |
/imagegen:moodboard |
Create design inspiration sets |
/imagegen:character |
Create consistent character sheets |
/imagegen:config |
Configure defaults |
Delegation
For complex image generation tasks, delegate to the image-generator subagent which has access to all generation scripts and can handle multi-step workflows.
Quick Reference
Providers
Google Gemini (Gemini)
- Models:
gemini-2.5-flash-image,gemini-3-pro-image-preview - Best for: Character consistency, multi-turn iteration, style variety
- API Key:
GEMINI_API_KEYorGOOGLE_API_KEY
OpenAI GPT-Image
- Models:
gpt-image-2(default),gpt-image-1.5,gpt-image-1(the only one supporting transparent backgrounds),gpt-image-1-mini - Best for: Text in images, precise edits. gpt-image-2 has built-in reasoning ("thinking mode") and is state-of-the-art. Use
gpt-image-1when you need transparency. - API Key:
OPENAI_API_KEY
Common Sizes/Aspect Ratios
| Format | OpenAI | |
|---|---|---|
| Square | 1:1 | 1024x1024 |
| Landscape | 16:9 | 1536x1024 |
| Portrait | 9:16 | 1024x1536 |
| Wide | 21:9 | - |
Example Interactions
User: "Generate an image of a sunset over mountains"
Action: Use /imagegen:generate --prompt "A sunset over mountains"
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 First seen · 136 lines · 30 tokens per session scan A e6ac40576927
imagegen is a skill published in the GitHub repository ThrownLemon/claude-code-plugins (2 stars, last pushed 4mo ago), licensed MIT. It adds 30 tokens to every session and 1,104 once invoked, about $0.0001 per session on Opus 5.5. A static security scan graded it A with 0 findings. It is 95% identical to imagegen, differing in 4 lines, and is treated as a copy.
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