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.
git clone --depth 1 https://github.com/frankxai/agentic-creator-osWrote 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/commands/frankxai/agentic-creator-os/generate-images)<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.
<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>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 | $0.00018 | $0.02012 |
| Opus 5 | $0.00009 | $0.01006 |
| Sonnet 5 | $0.00004 | $0.00402 |
| Haiku 4.5 | $0.00002 | $0.00201 |
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.
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:
- Header Image (1200x630) - Blog post hero image
- Quote Cards (1080x1080) - 3-5 social media quote cards
- 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_generationmetadata present- No
images.headeralready 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"
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.
- 6d ago First seen · 283 lines · 18 tokens per session scan A de070f7f4a15
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.
Other commands, from other repositories
sip-attest-image
Attest an image artifact (AI-generated or composed). Generates SIP attestation embedded in EXIF/XMP + sidecar .sip.json. Optional visible watermark. Refuses decorative use. v7.5+ — scaffold present, full implementation pending.
arcanea-canon
Vertical-tier command for Arcanea. Manage, extend, or pin Arcanea canon — Guardians, Vel'Tara archetypes, Hz grounding, realm/essence vocabulary. Every canon operation emits "Built on SIP" attestation with CC-BY-NC license pinning. Sovereign to Arcanea BV.
sip-attest-audio
Attest an audio artifact (music track, voice-over, podcast, soundscape). Generates SIP attestation embedded in ID3 tags + sidecar .sip.json. Refuses decorative use. v7.5+ — scaffold present, full implementation pending.
sound-catalog-metadata-pack
Produce a complete Metadata Pack — ISRC + ISWC + splits + PRO IDs + instrumentation + sample clearance + AI disclosure + sync-availability + alternate-version mapping + discography position. Refuses release without complete pack. Not legal advice.
sound-performance-set-design
Design a set — length-aware architecture (45/60/75/90/120 min), opener/peak/closer logic, tension-and-release across the set, instrumentation logistics, transition design. Refuses every-show-same-setlist for residencies.
stakeholder-map
Build a political stakeholder map for a launch or GTM initiative.