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 happycapy-ai/Happycapy-skills --skill generate-imagegit clone --depth 1 https://github.com/happycapy-ai/Happycapy-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/happycapy-ai/happycapy-skills/generate-image)<a href="https://agentmods.dev/skills/happycapy-ai/happycapy-skills/generate-image"><img src="https://agentmods.dev/badge/skills/happycapy-ai/happycapy-skills/generate-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/happycapy-ai/happycapy-skills/generate-image"><img src="https://agentmods.dev/badge/skills/happycapy-ai/happycapy-skills/generate-image.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 | $0.00034 | $0.01863 |
| Opus 5.5 | $0.00014 | $0.00745 |
| Sonnet 5.5 | $0.00007 | $0.00373 |
| Haiku 4.5 | $0.00003 | $0.00186 |
Grade A, and why
generate-image 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.
How it starts
The opening of the file, as written. The whole thing — 230 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Image Generation Skill
Generate images from text prompts and transform existing images using the AI Gateway API with support for multiple AI models including Google Gemini, Byteplus Seedream, and OpenAI GPT-Image.
Overview
This Skill enables Claude to generate images from text descriptions and transform existing images with AI-powered modifications. It uses the AI Gateway API which routes requests to appropriate providers based on the model selected.
Prerequisites
Required Environment Variable:
AI_GATEWAY_API_KEY: Your AI Gateway API key
If this environment variable is not set, the scripts will fail with an error message asking you to provide it.
Quick Start
Generate an Image from Text
Use the bundled script to generate images from text descriptions:
python3 scripts/generate_image.py "A serene landscape with mountains and a lake at sunset, photorealistic style"
Transform an Existing Image
Apply transformations to existing images using reference URLs:
python3 scripts/transform_image.py "Make this image more vibrant and add dramatic lighting" "https://example.com/image.jpg"
Supported Models
Image Generation Models
| Model | Provider | Best For |
|---|---|---|
google/gemini-3.1-flash-image-preview |
Google Vertex AI | Latest fast image generation with improved quality |
google/gemini-3-pro-image-preview |
Google Vertex AI | High-quality photorealistic images |
google/gemini-2.5-flash-image |
Google Vertex AI | Fast image generation |
byteplus/seedream-4-5 |
Byteplus Seedream | Creative artistic styles |
byteplus/seedream-4-0 |
Byteplus Seedream | General purpose image generation |
openai/gpt-image-1 |
OpenAI | Advanced image synthesis |
openai/gpt-image-1-mini |
OpenAI | Quick image generation |
openai/gpt-image-1.5 |
OpenAI | Enhanced image synthesis |
openai/gpt-image-2 |
OpenAI | Latest generation, multi-aspect ratio support |
API Parameters
What ships with it
3 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.
- 1mo ago First seen · 230 lines · 34 tokens per session scan A ef749bfec91c
generate-image is a skill published in the GitHub repository happycapy-ai/Happycapy-skills (137 stars, last pushed 1mo ago), licensed MIT. It adds 34 tokens to every session and 1,863 once invoked, about $0.0001 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 2026-08-30.
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