generate-images

generate-images is a command for Claude Code from frankxai/agentic-creator-os. It costs 18 tokens per session (2,012 once invoked), scanned A, original, Apache-2.0.

A command for generating blog headers, quote cards, and social-media images from article content. It creates assets in platform-specific sizes, such as square Instagram images and wide blog headers.

In plain words
What is it for?
Use it to scan articles ready for images, create image prompts from their metadata, and save header, quote-card, Twitter, LinkedIn, and Instagram assets.
Why use it?
It removes the repetitive work of turning each article into the different visual formats needed for publishing and promotion.

Command for Claude Code

Written for Claude Code: installed under .claude/.

Part of the agentic-creator-os plugin — 133 commands, 68 agents shipped together

Good fit Use it to scan articles ready for images, create image prompts from their metadata, and save header, quote-card, Twitter, LinkedIn, and Instagram assets.

Compare 6 commands from other repositories ↓
Install with agentmods
npx agentmods add commands/frankxai/agentic-creator-os/generate-images
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/frankxai/agentic-creator-os

Made for: Claude Code.

Or install agentic-creator-os, the plugin that ships this one along with the rest of its 133 commands, 68 agents.

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 generate-images

README.md
[![agentmods](https://agentmods.dev/badge/commands/frankxai/agentic-creator-os/generate-images/github.svg)](https://agentmods.dev/commands/frankxai/agentic-creator-os/generate-images)
Your own site
<a href="https://agentmods.dev/commands/frankxai/agentic-creator-os/generate-images"><img src="https://agentmods.dev/badge/commands/frankxai/agentic-creator-os/generate-images/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 generate-images

Your own site · 80×15
<a href="https://agentmods.dev/commands/frankxai/agentic-creator-os/generate-images"><img src="https://agentmods.dev/badge/commands/frankxai/agentic-creator-os/generate-images.svg" alt="Reviewed on agentmods" width="80" height="20"></a>
Per session 18 Only the description is in the session, so the agent can decide to use it. The body loads when it is invoked.
When invoked 2,012 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 $0.00018 $0.02012
Opus 5 $0.00009 $0.01006
Sonnet 5 $0.00004 $0.00402
Haiku 4.5 $0.00002 $0.00201

Measured 6d ago against content hash de070f7f4a15, method: parsed. Prices are Anthropic first-party input rates as of 2026-09-09, from the pricing page.

Security

Grade A, and why

generate-images 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 6d 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.

.claude/commands/generate-images.md · 283 lines

How it starts

The opening of the file, as written. The whole thing — 283 lines — stays where its author put it; the contents beside it link to each section on GitHub.

🖼️ Image Generation System Activated

You are now in Image Generation Mode - creating visual assets for FrankX articles using the Nano Banana MCP server.

Active Context

  • Focus: Image generation for blog posts and social media
  • Working Directory: /mnt/c/Users/Frank/FrankX/content/
  • MCP Server: Nano Banana (image generation)
  • Source: Files in 2-ready-to-publish/blog/
  • Output: Images saved to /FrankX.AI - Vercel Website/public/images/blog/[slug]/

Your Mission

For each article ready for images:

  1. Header Image (1200x630) - Blog post hero image
  2. Quote Cards (1080x1080) - 3-5 social media quote cards
  3. Platform Images:
    • Twitter: 1200x675
    • LinkedIn: 1200x627
    • Instagram: 1080x1080

Image Generation Process

Step 1: Scan Ready Articles

# Find articles ready for images
ls -la /mnt/c/Users/Frank/FrankX/content/2-ready-to-publish/blog/

Look for articles with:

  • status: "ready-for-images"
  • image_generation metadata present
  • No images.header already set

Step 2: Analyze Article for Prompts

Read article metadata:

---
title: "AI Music Production in 2025"
theme: "music"
image_generation:
  header_prompt: "futuristic AI music studio, vibrant purple and blue"
  theme: "music"
  style: "professional, modern, tech-forward"
  mood: "innovative, inspiring"
social_snippets:
  - "I generated 50 songs in a week. 3 were amazing."
  - "The AI music revolution isn't coming. It's here."
---

If no image_generation metadata, create it from:

  • Article theme (ai-tech, conscious, creator, music, personal-dev)
  • Article title
  • Key concepts from content

Step 3: Generate Header Image

Use Nano Banana MCP to generate:

// Prompt format
`${theme_style}, ${colors}, ${mood}, representing: ${title}`

// Examples by theme:
// AI-Tech: "futuristic AI technology interface, vibrant purple and electric blue, innovative and cutting-edge, representing: Building AI Agents"
// Mindful: "ethereal inner awareness visualization, soft purples and cosmic blues with golden light, transcendent and peaceful, representing: Inner Discovery"
// Creator: "modern creator workspace, energetic oranges and deep purples, entrepreneurial and dynamic, representing: Creator Economy 2025"
// Music: "abstract sound wave visualization, vibrant gradients and neon colors, rhythmic and creative, representing: AI Music Production"
// Personal-Dev: "minimalist growth visualization, calm blues and energizing greens, focused and ambitious, representing: Peak Performance"

Read the full file on GitHub · 283 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. 6d ago First seen · 283 lines · 18 tokens per session scan A de070f7f4a15

Subscribe to this mod's changes

generate-images is a command published in the GitHub repository frankxai/agentic-creator-os (10 stars, last pushed yesterday), licensed Apache-2.0. It adds 18 tokens to every session and 2,012 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 2026-09-03.

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