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 muhdaliyan/zeer --skill image-generationgit clone --depth 1 https://github.com/muhdaliyan/zeerWrote 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/muhdaliyan/zeer/image-generation)<a href="https://agentmods.dev/skills/muhdaliyan/zeer/image-generation"><img src="https://agentmods.dev/badge/skills/muhdaliyan/zeer/image-generation/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/muhdaliyan/zeer/image-generation"><img src="https://agentmods.dev/badge/skills/muhdaliyan/zeer/image-generation.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 | $0.00046 | $0.01872 |
| Opus 5.5 | $0.00018 | $0.00749 |
| Sonnet 5.5 | $0.00009 | $0.00374 |
| Haiku 4.5 | $0.00005 | $0.00187 |
Grade A, and why
image-generation 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 2mo 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 — 224 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Goal
Generate professional, high-quality images using Google's Imagen 4 models and integrate them seamlessly into web projects, applications, or creative workflows. Automatically save generated images to the appropriate project directory.
Capabilities
Image Generation
- Generate photorealistic images from text descriptions
- Create logos, illustrations, and graphics for websites
- Generate hero images, backgrounds, and visual assets
- Support for multiple aspect ratios (1:1, 4:3, 16:9, 9:16)
- Generate 1-4 images per request
- High-resolution output with SynthID watermark
Integration
- Automatically save images to project directories
- Generate appropriate filenames based on content
- Create image assets for web projects (HTML, React, etc.)
- Organize images in logical folder structures
Supported Styles
- Photography (portraits, landscapes, product shots)
- Illustrations (digital art, sketches, paintings)
- Logos and branding materials
- UI elements and backgrounds
- Historical art styles (impressionism, art deco, etc.)
Procedure
When User Requests Website/Project with Images
-
Identify Image Needs
- Analyze the project requirements
- Determine what images are needed (hero, logo, icons, backgrounds)
- Ask user if they want AI-generated images using Imagen
-
Confirm Image Generation
- Present the option: "Would you like me to generate custom images using Google's Imagen AI model?"
- If user agrees, proceed with generation
- If user declines, use placeholder images or skip
-
Generate Images
- Create detailed, specific prompts based on project context
- Use appropriate aspect ratios for each use case
- Generate images using the generate_image tool
-
Save and Integrate
- Save images to project directory (e.g.,
website-name/images/) - Use descriptive filenames (e.g.,
hero-background.png,logo.png) - Update HTML/CSS/React code to reference the generated images
- Provide image paths in the code
- Save images to project directory (e.g.,
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.
- 2mo ago First seen · 224 lines · 46 tokens per session scan A c5fad993aa69
image-generation is a skill published in the GitHub repository muhdaliyan/zeer (6 stars, last pushed 7mo ago), licensed MIT. It adds 46 tokens to every session and 1,872 once invoked, about $0.0002 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.
image-generation compared with skills from other repositories
| Mod | Type | Stars | Last push | Licence | Scan | Tokens | Works with |
|---|---|---|---|---|---|---|---|
| image-generationmuhdaliyan/zeer | Skill | 6 | 7mo ago | MIT | A | 46 | Claude Code |
| webgl-holographic-foilnexu-io/open-design | Skill | 107k | today | Apache-2.0 | A | 41 | Claude Code, Codex |
| html-ppt-hermes-cyber-terminalnexu-io/open-design | Skill | 107k | today | Apache-2.0 | A | 53 | Claude Code, Codex |
| html-ppt-taste-brutalistnexu-io/open-design | Skill | 107k | today | Apache-2.0 | A | 78 | Claude Code, Codex |
| visual-ralphYeachan-Heo/oh-my-codex | Skill | 34k | today | MIT | A | 52 | Codex |
| glance-canonical-layoutsandroid/skills | Skill | 10k | 2d ago | Apache-2.0 | A | 56 | Claude Code |
| accessibilitymicrosoft/hve-core | Skill | 1.6k | yesterday | MIT | A | 47 | Claude Code |