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 oyi77/1ai-skills --skill gemini-image-generatorgit clone --depth 1 https://github.com/oyi77/1ai-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/oyi77/1ai-skills/gemini-image-generator)<a href="https://agentmods.dev/skills/oyi77/1ai-skills/gemini-image-generator"><img src="https://agentmods.dev/badge/skills/oyi77/1ai-skills/gemini-image-generator/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/oyi77/1ai-skills/gemini-image-generator"><img src="https://agentmods.dev/badge/skills/oyi77/1ai-skills/gemini-image-generator.svg" alt="Reviewed on agentmods" width="80" height="20"></a>- NVIDIA SkillSpector pass
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 | $0.00021 | $0.01841 |
| Opus 5 | $0.00010 | $0.00920 |
| Sonnet 5 | $0.00004 | $0.00368 |
| Haiku 4.5 | $0.00002 | $0.00184 |
Grade A, and why
gemini-image-generator 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 8d 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 — 279 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Gemini Image Generator Skill
Overview
Generate professional posed product images using Gemini AI with optimized prompts for e-commerce and content creation.
Anti-Rationalization Table
| Rationalization | Reality |
|---|---|
| "I'll figure it out as I go" | A structured approach saves time and reduces errors. Follow the workflow in this skill rather than improvising. |
| "I already know this topic" | Familiarity breeds shortcuts. Use the checklist to verify you haven't missed critical steps. |
| "This doesn't apply to my situation" | The patterns here generalize across contexts. Adapt, don't skip — the underlying principles hold. |
| "One more tool will fix it" | Adding complexity rarely solves process gaps. Master the core workflow first. |
When to Use
Trigger phrases:
-
"gemini image generator"
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"When you need to create product images with model poses for e-commerce"
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"When preparing TikTok/social media content featuring products"
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"When you have product images and need them "modeled" without hiring photographer"
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When you need to create product images with model poses for e-commerce
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When preparing TikTok/social media content featuring products
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When you have product images and need them "modeled" without hiring photographers
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When batch-generating multiple product variations
When NOT to Use
- When you need photorealistic human faces (AI limitations)
- When legal compliance requires real photography
- When the product requires accurate color representation (AI may shift colors)
- When generating trademarked brand items
Quick Reference
# Generate prompt
python prompt_optimizer.py --category fashion --product "white dress"
# Full workflow
python workflow_runner.py --pose pose.jpg --product dress.jpg --category fashion
Common Mistakes
- Using low-resolution input images (results will be blurry)
- Not specifying lighting setup in prompts (inconsistent results)
- Skipping the ChatGPT video step (misses viral content optimization)
- Ignoring TikTok AI disclosure requirements
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.
- 8d ago First seen · 279 lines · 21 tokens per session scan A 82d7864a1b7f
gemini-image-generator is a skill published in the GitHub repository oyi77/1ai-skills (12 stars, last pushed today), licensed MIT. It adds 21 tokens to every session and 1,841 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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