image-generator

image-generator is an agent for Claude Code from ThrownLemon/claude-code-plugins. It costs 28 tokens per session (1,125 once invoked), scanned A, original, MIT.

An image-generation specialist that creates, edits, compares, and refines images using Google Gemini and OpenAI GPT-Image. It also creates sets such as icons, favicons, moodboards, and character sheets.

In plain words
What is it for?
Use it to generate new images, edit existing ones, refine results, compare image providers, create asset sets, build moodboards, and make consistent character designs.
Why use it?
It organizes common image tasks into defined workflows, so developers can turn descriptions or existing images into project assets more consistently.

Agent for Claude Code

Written for Claude Code: ${CLAUDE_PLUGIN_ROOT} variable. Also seen: model in frontmatter.

Runs only inside its plugin — its command needs a path that Claude Code sets for a plugin’s own hooks and for nothing else. Install the plugin, not this.

Part of the imagegen plugin — 1 skill, 7 commands, 1 agent shipped together

Good fit Use it to generate new images, edit existing ones, refine results, compare image providers, create asset sets, build moodboards, and make consistent character designs.

Compare 6 agents from other repositories ↓
Install

Getting it into your agent

This one installs as part of its plugin. Adding the marketplace and installing the plugin brings it with everything else the plugin ships.

Claude Code
/plugin marketplace add ThrownLemon/claude-code-plugins
Claude Code
/plugin install imagegen

Made for: Claude Code.

Or install imagegen, the plugin that ships this one along with the rest of its 1 skill, 7 commands, 1 agent.

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.

agentmods badge for image-generator

README.md
[![agentmods](https://agentmods.dev/badge/agents/thrownlemon/claude-code-plugins/image-generator/github.svg)](https://agentmods.dev/agents/thrownlemon/claude-code-plugins/image-generator)
Your own site
<a href="https://agentmods.dev/agents/thrownlemon/claude-code-plugins/image-generator"><img src="https://agentmods.dev/badge/agents/thrownlemon/claude-code-plugins/image-generator/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.

agentmods 80×15 button for image-generator

Your own site · 80×15
<a href="https://agentmods.dev/agents/thrownlemon/claude-code-plugins/image-generator"><img src="https://agentmods.dev/badge/agents/thrownlemon/claude-code-plugins/image-generator.svg" alt="Reviewed on agentmods" width="80" height="20"></a>
Per session 28 Only the description is in the session, so the agent can decide to use it. The body loads when it is invoked.
When invoked 1,125 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.

ModelPer sessionOnce invoked
Fable 5.1 $0.00028 $0.01125
Opus 5.5 $0.00011 $0.00450
Sonnet 5.5 $0.00006 $0.00225
Haiku 4.5 $0.00003 $0.00112

Measured 1mo ago against content hash 81e57b6d2738, method: parsed. Prices are Anthropic first-party input rates as of 2026-10-07, from the pricing page.

Security

Grade A, and why

image-generator 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.

plugins/imagegen/agents/image-generator.md · 151 lines

How it starts

The opening of the file, as written. The whole thing — 151 lines — stays where its author put it; the contents beside it link to each section on GitHub.

You are an AI image generation specialist. Your job is to help users generate, edit, and iterate on images using the imagegen plugin's Python scripts.

Available Scripts

All scripts are located at ${CLAUDE_PLUGIN_ROOT}/scripts/:

Script Purpose
generate.py Generate images from text prompts
edit.py Edit existing images with text instructions
iterate.py Multi-step image refinement sessions
compare.py Compare Google vs OpenAI outputs
assets.py Generate app icons, favicons, social images
moodboard.py Create multiple related images
character.py Generate consistent character sheets
config.py Manage configuration

Workflow

Step 1: Understand the Request

Determine what the user wants:

  • Generate: New image from description
  • Edit: Modify existing image
  • Iterate: Refine through multiple steps
  • Compare: See both providers' outputs
  • Assets: Create project asset sets
  • Moodboard: Design inspiration collection
  • Character: Consistent character design

Step 2: Check Prerequisites

Verify API keys are available:

# Check for Google key
if [ -n "$GEMINI_API_KEY" ] || [ -n "$GOOGLE_API_KEY" ]; then echo "Google API key found"; else echo "Google API key NOT found"; fi

# Check for OpenAI key
if [ -n "$OPENAI_API_KEY" ]; then echo "OpenAI API key found"; else echo "OpenAI API key NOT found"; fi

If keys are missing, inform the user:

To use this plugin, set your API keys:

  • Google: export GEMINI_API_KEY=your_key
  • OpenAI: export OPENAI_API_KEY=your_key

Step 3: Execute the Appropriate Script

Use the --json flag for structured output when available.

Generate Example
python3 ${CLAUDE_PLUGIN_ROOT}/scripts/generate.py \
  --prompt "A serene mountain lake at sunset" \
  --provider google \
  --size 16:9 \
  --json
Edit Example
python3 ${CLAUDE_PLUGIN_ROOT}/scripts/edit.py \
  --image /path/to/image.png \
  --prompt "Add dramatic clouds to the sky" \
  --json

Read the full file on GitHub · 151 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. 1mo ago First seen · 151 lines · 28 tokens per session scan A 81e57b6d2738

Subscribe to this mod's changes

image-generator is an agent published in the GitHub repository ThrownLemon/claude-code-plugins (2 stars, last pushed 4mo ago), licensed MIT. It adds 28 tokens to every session and 1,125 once invoked, about $0.0001 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.

Related

Other agents, from other repositories

Demonstrate

Agent for demonstrating VS Code features.

microsoft/vscode · 10 tokens

playwright-test-generator

Use this agent when you need to create automated browser tests using Playwright Examples: Context: User wants to generate a test for the test plan item.

microsoft/playwright · 151 tokens

.NET-Notebook-Migration-Agent

Expert .NET and documentation transformation agent that migrates Polyglot Jupyter notebooks into clean Markdown and companion .NET sample code.

microsoft/ai-agents-for-beginners · 33 tokens

code-reviewer

Performs thorough code reviews for the Notebooks in the Cookbook repo, focusing on Python/Jupyter best practices, and project-specific standards. Use this agent proactively after writing any significant code changes, especially when modifying notebooks, Github Actions, and scripts.

anthropics/claude-cookbooks · 52 tokens

AVM Owner Triage

Triage open GitHub issues across the Azure Verified Modules (AVM) repos an owner maintains. Splits the backlog into a Copilot-delegatable pile and a human pile, produces a report with a delegation ratio, and never comments or assigns without explicit user approval.

github/awesome-copilot · 61 tokens

Ultimate Transparent Thinking Beast Mode

Agent "Ultimate Transparent Thinking Beast Mode" from github/awesome-copilot, covering quantum cognitive architecture, phase 2: adversarial intelligence & red-team analysis, phase 3: implementation & iterative refinement and phase 4: comprehensive verification & completion.

github/awesome-copilot · 11 tokens