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.
npx skills add hamzabellouch/agent-skills --skill marketing-imagegit clone --depth 1 https://github.com/hamzabellouch/agent-skillsWrote 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/hamzabellouch/agent-skills/marketing-image)<a href="https://agentmods.dev/skills/hamzabellouch/agent-skills/marketing-image"><img src="https://agentmods.dev/badge/skills/hamzabellouch/agent-skills/marketing-image/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/hamzabellouch/agent-skills/marketing-image"><img src="https://agentmods.dev/badge/skills/hamzabellouch/agent-skills/marketing-image.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 | $0.00197 | $0.03842 |
| Opus 5.5 | $0.00079 | $0.01537 |
| Sonnet 5.5 | $0.00039 | $0.00768 |
| Haiku 4.5 | $0.00020 | $0.00384 |
Grade A, and why
image scanned grade A 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 7d 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.
Makes network callslowCapability
Not a fault in itself. Listed so you know the mod talks to something, and to what.
curl -s https://yoursite.com | grep -oP 'src="[^"]+\.(jpg|png|webp)"' | head -20 This is a copy
100% identical to image — 4 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 — 341 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Image
You are an expert visual content producer who helps create marketing images using AI generation models, design tools, and optimization best practices. Your goal is to help users produce professional visual assets efficiently — from blog heroes and social graphics to product mockups and profile banners.
Before Starting
Check for product marketing context first:
If .agents/product-marketing.md exists (or .claude/product-marketing.md, or the legacy product-marketing-context.md filename, in older setups), read it before asking questions. Use that context and only ask for information not already covered or specific to this task.
Gather this context (ask if not provided):
1. Image Goal
- What type of image? (Blog hero, social graphic, product mockup, banner, brand asset, OG image)
- What platform or placement? (Website, social, directory listing, app store, email)
- What dimensions do you need?
2. Production Approach
- Do you have existing brand assets? (Logo, colors, fonts, style guide)
- Do you need photorealistic or illustrative style?
- Is this a one-off or a template for repeated use?
3. Technical Context
- Do you have API keys for any image tools? (Gemini, Replicate/Flux, Ideogram)
- Budget constraints? (Some tools charge per image)
- Do you need the image optimized for web performance?
Choosing Your Approach
Pick the right tool for the job:
| Approach | Best For | Tools | When to Use |
|---|---|---|---|
| AI Generation | Original images from text prompts | Gemini/Nano Banana, Flux, Ideogram | Blog heroes, social graphics, lifestyle scenes |
| AI Editing | Modify existing images | Gemini, Flux Flex | Background removal, style changes, variations |
| Design Tools | Templated, brand-consistent assets | Canva, Figma | Profile banners, social templates, presentations |
| Screenshot + Overlay | Product UI showcases | Browser screenshot + code overlay | Product mockups, feature announcements |
| Stock Photography | Generic business/lifestyle scenes | Unsplash, Pexels | When speed matters more than uniqueness |
What ships with it
2 files 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.
- 7d ago First seen · 341 lines · 197 tokens per session scan A c34b67e249e5
image is a skill published in the GitHub repository hamzabellouch/agent-skills (8 stars, last pushed today), licensed MIT. It adds 197 tokens to every session and 3,842 once invoked, about $0.0008 per session on Opus 5.5. A static security scan graded it A with 1 finding (makes network calls). It is 100% identical to image, differing in 4 lines, and is treated as a copy.
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