generate

A command for creating images from written descriptions with Google Gemini or OpenAI GPT-Image.

In plain words
What is it for?
Use it to generate images from prompts with either supported image provider.
Why use it?
It removes the need to create an image manually when a text description is enough.

Command

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.

agentmods
npx agentmods add commands/thrownlemon/claude-code-plugins/generate
Clone the repo
git clone --depth 1 https://github.com/ThrownLemon/claude-code-plugins
Per session 14 Only the description is in the session, so the agent can decide to use it. The body loads when it is invoked.
When invoked 926 The whole file, excluding the scripts and references it only reads on demand.
Security scan C 1 finding. Scan, not verified.
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.

ModelPer sessionOnce invoked
Fable 5 $0.00014 $0.00926
Opus 5 $0.00007 $0.00463
Sonnet 5 $0.00003 $0.00185
Haiku 4.5 $0.00001 $0.00093

Measured yesterday against content hash 4a7f1a872abe, method: parsed. Prices are Anthropic first-party input rates as of 2026-08-30, from the pricing page.

Security

Grade C, and why

generate scanned grade C with 1 finding 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 yesterday.

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.

Recursive force deletehighDestructive command

rm -rf with a variable or a broad path is one typo away from removing the wrong tree.

1. **Reject dangerous tokens.** If a value contains `$(`, backticks, `;`, `|`, `&`, `>`, `<`, or starts with `-` (could be mistaken for a flag), refuse and ask the user to rephrase. **Double-quoting does NOT block comman
plugins/imagegen/commands/generate.md · 83 lines

How it starts

The opening of the file, as written. The whole thing — 83 lines — stays where its author put it; the contents beside it link to each section on GitHub.

Input Safety — apply before any Bash invocation

Treat every $ARGUMENTS.* value as untrusted input. Before passing any value to the Bash tool:

  1. Reject dangerous tokens. If a value contains $(, backticks, ;, |, &, >, <, or starts with - (could be mistaken for a flag), refuse and ask the user to rephrase. Double-quoting does NOT block command substitution"$(rm -rf /)" still executes inside double quotes.
  2. Prefer the Bash tool's argv contract over constructed shell strings. When you must use a shell string, single-quote the value and escape embedded single quotes ('\''), or build the command via printf %q.
  3. Any "$ARGUMENTS.foo" patterns shown below are illustrative. Sanitize the value first; never blindly substitute.

Generate Image

Generate AI images from text prompts using either Google Gemini (Gemini) or OpenAI GPT-Image.

Supported Providers

Google Gemini (Gemini)

  • Models: gemini-2.5-flash-image (fast), gemini-3-pro-image-preview (professional)
  • Features: Multi-turn iteration, character consistency, up to 4K output
  • Aspect Ratios: 1:1, 16:9, 9:16, 4:3, 3:4, 21:9

OpenAI GPT-Image

  • Models: gpt-image-2 (default, state-of-the-art), gpt-image-1.5, gpt-image-1 (only one with transparency support), gpt-image-1-mini
  • Features: Excellent text rendering. gpt-image-2 has built-in reasoning ("thinking mode"). Transparent backgrounds available on gpt-image-1 only.
  • Sizes: 1024x1024, 1536x1024 (landscape), 1024x1536 (portrait), 2048x2048

Examples

/imagegen:generate --prompt "A serene mountain lake at sunset"
/imagegen:generate --prompt "Logo for a tech startup" --provider openai --size square
/imagegen:generate --prompt "Cyberpunk cityscape" --provider google --model gemini-3-pro-image-preview --size 16:9
/imagegen:generate --prompt "Cute robot mascot" --count 4

Execution

Run the generate script with the provided arguments:

Read the full file on GitHub · 83 lines

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.

  1. yesterday First seen · 83 lines · 0 tokens per session scan C 4a7f1a872abe

Subscribe to this mod's changes

generate is a command published in the GitHub repository ThrownLemon/claude-code-plugins (2 stars, last pushed 2mo ago), licensed MIT. It adds 14 tokens to every session and 926 once invoked, about $0.0001 per session on Opus 5. A static security scan graded it C with 1 finding (recursive force delete). No closer match exists in the catalogue, so it is treated as the original; first seen 2026-08-31.