Getting it into your agent
It runs from inside its repository, so the clone comes first — what it calls does not travel with the file alone.
git clone --depth 1 https://github.com/BestLemoon/codex-seonpx agentmods add skills/bestlemoon/codex-seo/seo-image-genWrote 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/skills/bestlemoon/codex-seo/seo-image-gen)<a href="https://agentmods.dev/skills/bestlemoon/codex-seo/seo-image-gen"><img src="https://agentmods.dev/badge/skills/bestlemoon/codex-seo/seo-image-gen/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/skills/bestlemoon/codex-seo/seo-image-gen"><img src="https://agentmods.dev/badge/skills/bestlemoon/codex-seo/seo-image-gen.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 | $0.00111 | $0.02057 |
| Opus 5.5 | $0.00044 | $0.00823 |
| Sonnet 5.5 | $0.00022 | $0.00411 |
| Haiku 4.5 | $0.00011 | $0.00206 |
Grade A, and why
seo-image-gen 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.
This is a copy
100% identical to seo-image-gen — 2 lines differ, which has more behind it and is treated as the original. This page carries a canonical link to it rather than competing with it.
How it starts
The opening of the file, as written. The whole thing — 177 lines — stays where its author put it; the contents beside it link to each section on GitHub.
SEO Image Gen: AI Image Generation for SEO Assets (Extension)
Generate production-ready images for SEO use cases using Gemini's image generation via the banana Creative Director pipeline. Maps SEO needs to optimized domain modes, aspect ratios, and resolution defaults.
Architecture Note
This extension is built on Banana Codex, the standalone AI image generation skill for Codex.
This skill has two components with distinct roles:
- SKILL.md (this file): Handles interactive
/seo image-gencommands for generating images - Agent (
agents/seo-image-gen.md): Audit-only analyst spawned during/seo auditto assess existing OG/social images and produce a generation plan (never auto-generates)
Prerequisites
This skill requires the banana extension to be installed:
./extensions/banana/install.sh
Check availability: Before using any image generation tool, verify the MCP server
is connected by checking if gemini_generate_image or set_aspect_ratio tools are
available. If tools are not available, inform the user the extension is not installed
and provide install instructions.
Quick Reference
| Command | What it does |
|---|---|
/seo image-gen og <description> |
Generate OG/social preview image (1200x630 feel) |
/seo image-gen hero <description> |
Blog hero image (widescreen, dramatic) |
/seo image-gen product <description> |
Product photography (clean, white BG) |
/seo image-gen infographic <description> |
Infographic visual (vertical, data-heavy) |
/seo image-gen custom <description> |
Custom image with full Creative Director pipeline |
/seo image-gen batch <description> [N] |
Generate N variations (default: 3) |
SEO Image Use Cases
Each use case maps to pre-configured banana parameters:
| Use Case | Aspect Ratio | Resolution | Domain Mode | Notes |
|---|---|---|---|---|
| OG/Social Preview | 16:9 |
1K |
Product or UI/Web | Clean, professional, text-friendly |
| Blog Hero | 16:9 |
2K |
Cinema or Editorial | Dramatic, atmospheric, editorial quality |
| Schema Image | 4:3 |
1K |
Product | Clean, descriptive, schema ImageObject |
| Social Square | 1:1 |
1K |
UI/Web | Platform-optimized square |
| Product Photo | 4:3 |
2K |
Product | White background, studio lighting |
| Infographic | 2:3 |
4K |
Infographic | Data-heavy, vertical layout |
| Favicon/Icon | 1:1 |
512 |
Logo | Minimal, scalable, recognizable |
| Pinterest Pin | 2:3 |
2K |
Editorial | Tall vertical card |
What ships with it
1 file beside SKILL.md in the same directory: the scripts, references and assets a skill reads on demand. Not counted in the per-session cost; read them before you install if any of them is executable.
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.
- 1mo ago First seen · 177 lines · 111 tokens per session scan A c1c49dbcb74f
seo-image-gen is a skill published in the GitHub repository BestLemoon/codex-seo (9 stars, last pushed 3mo ago), licensed MIT. It adds 111 tokens to every session and 2,057 once invoked, about $0.0004 per session on Opus 5.5. A static security scan graded it A with 0 findings. It is 100% identical to seo-image-gen, differing in 2 lines, and is treated as a copy.
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