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 somacoffeekyoto/imgx-mcp --skill image-generationgit clone --depth 1 https://github.com/somacoffeekyoto/imgx-mcpWrote 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/somacoffeekyoto/imgx-mcp/image-generation)<a href="https://agentmods.dev/skills/somacoffeekyoto/imgx-mcp/image-generation"><img src="https://agentmods.dev/badge/skills/somacoffeekyoto/imgx-mcp/image-generation/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/somacoffeekyoto/imgx-mcp/image-generation"><img src="https://agentmods.dev/badge/skills/somacoffeekyoto/imgx-mcp/image-generation.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 | $0.00025 | $0.08617 |
| Opus 5 | $0.00013 | $0.04308 |
| Sonnet 5 | $0.00005 | $0.01723 |
| Haiku 4.5 | $0.00003 | $0.00862 |
Grade A, and why
image-generation 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 10d 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 — 743 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Image Generation & Editing
Generate and edit images using the imgx MCP tools. Gemini and OpenAI providers supported.
Default model behavior
When the user does not specify a model, use Nano Banana (gemini-2.5-flash-image) — the free tier model. This lets users start immediately without paid API access (500 images/day, no credit card).
Suggest upgrading to a paid model when:
- The user is unsatisfied with quality and wants improvement
- The user needs 4K resolution or extended aspect ratios (1:4, 1:8, 4:1, 8:1, 21:9)
- The user needs high text rendering accuracy (→ Nano Banana 2)
- The user explicitly asks for higher quality or a specific paid model
- The task clearly requires maximum quality (e.g. final production assets, print)
When suggesting an upgrade, briefly explain what the paid model adds. Example:
"This was generated with the free model (Nano Banana). For higher resolution (up to 4K) and more aspect ratio options, I can re-generate with Nano Banana 2 or Pro — these require paid API access."
When to use
- User asks to create, generate, or make an image
- User asks to edit, modify, or change an existing image
- User needs a cover image, diagram, icon, or visual asset
- User wants to refine an image iteratively ("make it darker", "change the background")
- User mentions a model by alias (Nano Banana, NB2, etc.) — see Model aliases below
Model aliases
Users may refer to models by their alias. Map these to the correct model parameter value:
| Alias (case-insensitive) | Model ID | Provider |
|---|---|---|
| Nano Banana Pro, NanoBanana Pro, NB Pro, ナノバナナプロ | gemini-3-pro-image-preview |
gemini |
| Nano Banana 2, NanoBanana 2, NB2, ナノバナナ2, ナノバナナツー | gemini-3.1-flash-image-preview |
gemini |
| Nano Banana, NanoBanana, NB, ナノバナナ | gemini-2.5-flash-image |
gemini |
| GPT Image, gpt-image | gpt-image-1 |
openai |
| GPT Image 1.5 | gpt-image-1.5 |
openai |
| GPT Image Mini, gpt-mini | gpt-image-1-mini |
openai |
What ships with it
1 file 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.
- 10d ago First seen · 743 lines · 25 tokens per session scan A 7e54313bc257
image-generation is a skill published in the GitHub repository somacoffeekyoto/imgx-mcp (0 stars, last pushed 5mo ago), licensed MIT. It adds 25 tokens to every session and 8,617 once invoked, about $0.0001 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 2026-08-31.
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