Borrowing it
Nothing to install: this file belongs to abboskhonov/tasteui. Take a copy, put it at the same path in your own repository, and replace the rules that are about this project with yours.
curl -O https://raw.githubusercontent.com/abboskhonov/tasteui/main/.agents/skills/ai-image-generation/SKILL.mdgit clone --depth 1 https://github.com/abboskhonov/tasteuiWrote 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/abboskhonov/tasteui/ai-image-generation)<a href="https://agentmods.dev/skills/abboskhonov/tasteui/ai-image-generation"><img src="https://agentmods.dev/badge/skills/abboskhonov/tasteui/ai-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/abboskhonov/tasteui/ai-image-generation"><img src="https://agentmods.dev/badge/skills/abboskhonov/tasteui/ai-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 | $0.00208 | $0.01541 |
| Opus 5.5 | $0.00083 | $0.00616 |
| Sonnet 5.5 | $0.00042 | $0.00308 |
| Haiku 4.5 | $0.00021 | $0.00154 |
Grade A, and why
ai-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.
Copies of this mod
1 near-identical copy found in the catalogue:
- ai-image-generation — 92% identical, 520 lines differ
How it starts
The opening of the file, as written. The whole thing — 172 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Install the belt CLI skill:
npx skills add belt-sh/cli
AI Image Generation
Generate images with 50+ AI models via inference.sh CLI.
Quick Start
Requires inference.sh CLI (
belt). Install instructions
belt login
# Generate an image with FLUX
belt app run falai/flux-dev-lora --input '{"prompt": "a cat astronaut in space"}'
Available Models
| Model | App ID | Best For |
|---|---|---|
| GPT-Image-2 | openai/gpt-image-2 |
Text-to-image, editing, inpainting |
| FLUX Dev LoRA | falai/flux-dev-lora |
High quality with custom styles |
| FLUX.2 Klein LoRA | falai/flux-2-klein-lora |
Fast with LoRA support (4B/9B) |
| P-Image | pruna/p-image |
Fast, economical, multiple aspects |
| P-Image-LoRA | pruna/p-image-lora |
Fast with preset LoRA styles |
| P-Image-Edit | pruna/p-image-edit |
Fast image editing |
| Gemini 3 Pro | google/gemini-3-pro-image-preview |
Google's latest |
| Gemini 2.5 Flash | google/gemini-2-5-flash-image |
Fast Google model |
| Grok Imagine | xai/grok-imagine-image |
xAI's model, multiple aspects |
| Seedream 4.5 | bytedance/seedream-4-5 |
2K-4K cinematic quality |
| Seedream 4.0 | bytedance/seedream-4-0 |
High quality 2K-4K |
| Seedream 3.0 | bytedance/seedream-3-0-t2i |
Accurate text rendering |
| Reve | falai/reve |
Natural language editing, text rendering |
| ImagineArt 1.5 Pro | falai/imagine-art-1-5-pro-preview |
Ultra-high-fidelity 4K |
| FLUX Klein 4B | pruna/flux-klein-4b |
Ultra-cheap ($0.0001/image) |
| Topaz Upscaler | falai/topaz-image-upscaler |
Professional upscaling |
Browse All Image Apps
belt app list --category image
Examples
GPT-Image-2
belt app run openai/gpt-image-2 --input '{
"prompt": "professional product photo of sneakers, studio lighting",
"quality": "high"
}'
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 · 172 lines · 208 tokens per session scan A 92fd33184519
ai-image-generation is a skill published in the GitHub repository abboskhonov/tasteui (25 stars, last pushed 3mo ago), licensed MIT. It adds 208 tokens to every session and 1,541 once invoked, about $0.0008 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.
ai-image-generation compared with skills from other repositories
| Mod | Type | Stars | Last push | Licence | Scan | Tokens | Works with |
|---|---|---|---|---|---|---|---|
| ai-image-generationabboskhonov/tasteui | Skill | 25 | 3mo ago | MIT | A | 208 | Claude Code |
| imagegenopenai/codex | Skill | 134k | today | Apache-2.0 | A | 113 | Codex |
| local-ai-agentsmicrosoft/ai-agents-for-beginners | Skill | 79k | yesterday | MIT | A | 200 | Claude Code, Codex |
| playwright-climicrosoft/playwright | Skill | 100k | yesterday | Apache-2.0 | A | 19 | Claude Code |
| browser-automationopenclaw/openclaw | Skill | 394k | today | MIT | A | 36 | Claude Code |
| systematic-debuggingobra/superpowers | Skill | 314k | 5d ago | MIT | A | 21 | Claude Code |
| next-cache-components-adoptionvercel/next.js | Skill | 143k | today | MIT | A | 95 | Claude Code |