A command that generates a new image from a text description using Gemini, an AI image-generation service.

Use it to create an image from a supplied prompt, or to request a prompt when none is given; it also supports continuing edits through the related edit command.

It turns a written image idea into an image and provides a defined follow-up path for refining it.

generate — Command for Claude Code by DojoCodingLabs/nanobanana-mcp

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.

Clone the repo

git clone --depth 1 https://github.com/DojoCodingLabs/nanobanana-mcp

Made for: Claude Code.

Or install nanobanana-mcp, the plugin that ships this one along with the rest of its 1 skill, 3 commands, 1 agent, 1 hook, 1 MCP server.

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.

README.md

[![agentmods](https://agentmods.dev/badge/commands/dojocodinglabs/nanobanana-mcp/generate/github.svg)](https://agentmods.dev/commands/dojocodinglabs/nanobanana-mcp/generate)

Your own site

<a href="https://agentmods.dev/commands/dojocodinglabs/nanobanana-mcp/generate"><img src="https://agentmods.dev/badge/commands/dojocodinglabs/nanobanana-mcp/generate/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.

Your own site · 80×15

<a href="https://agentmods.dev/commands/dojocodinglabs/nanobanana-mcp/generate"><img src="https://agentmods.dev/badge/commands/dojocodinglabs/nanobanana-mcp/generate.svg" alt="Reviewed on agentmods" width="80" height="20"></a>

Per session 10 Only the description is in the session, so the agent can decide to use it. The body loads when it is invoked.

When invoked 309 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.

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.

Model	Per session	Once invoked
Fable 5.1	$0.00010	$0.00309
Opus 5.5	$0.00004	$0.00124
Sonnet 5.5	$0.00002	$0.00062
Haiku 4.5	$0.00001	$0.00031

Measured 2mo ago against content hash 14d31bd516e2, method: parsed. Prices are Anthropic first-party input rates as of 2026-10-07, from the pricing page.

Security

Grade A, and why

generate 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 2mo 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.

commands/generate.md · 31 lines

What it actually says

Generate Image

The user wants to generate a new image using nanobanana.

Instructions

If the user provided a prompt after the command (e.g., /nanobanana:generate a sunset over mountains), use that as the image prompt directly.
If no prompt was provided, ask the user what they want to generate. Suggest being specific about: subject, style, colors, composition, and mood.
Call the generate_image MCP tool with the prompt.
After generation, display the result and remind the user:
- The image was saved to ~/nanobanana-images/
- They can use /nanobanana:edit or say "continue editing" to refine it
- Provide 2-3 specific refinement suggestions based on the generated image

Prompt Enhancement Tips

If the user's prompt is very short (under 20 words), consider suggesting enhancements:

Add style descriptors: "photorealistic", "watercolor", "flat illustration", "3D render"
Add composition: "close-up", "wide angle", "bird's eye view", "centered"
Add lighting: "golden hour", "dramatic lighting", "soft diffused light"
Add mood: "serene", "energetic", "mysterious", "professional"

Do NOT auto-enhance without asking -- just suggest improvements and let the user decide.

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.

2mo ago First seen · 31 lines · 10 tokens per session scan A 14d31bd516e2

Subscribe to this mod's changes

generate is a command published in the GitHub repository DojoCodingLabs/nanobanana-mcp (1 stars, last pushed 1mo ago), licensed MIT. It adds 10 tokens to every session and 309 once invoked, about $0.0000 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 2026-08-31.

Creative and media

generate next to 6 commands from other repositories
Mod	Type	Stars	Last push	Licence	Scan	Tokens	Works with
generateDojoCodingLabs/nanobanana-mcp	Command	1	1mo ago	MIT	A	10	Claude Code
checklistgithub/spec-kit	Command	149k	yesterday	MIT	A	13	Claude Code
clarifygithub/spec-kit	Command	149k	yesterday	MIT	A	27	Claude Code
specifygithub/spec-kit	Command	149k	yesterday	MIT	A	13	Claude Code
analyzegithub/spec-kit	Command	149k	yesterday	MIT	A	26	Claude Code
convergegithub/spec-kit	Command	149k	yesterday	MIT	A	35	Claude Code
implementgithub/spec-kit	Command	149k	yesterday	MIT	A	14	Claude Code