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 agentlas-ai/agentlas-desktop --skill generate-imagegit clone --depth 1 https://github.com/agentlas-ai/agentlas-desktopWrote 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/agentlas-ai/agentlas-desktop/generate-image)<a href="https://agentmods.dev/skills/agentlas-ai/agentlas-desktop/generate-image"><img src="https://agentmods.dev/badge/skills/agentlas-ai/agentlas-desktop/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/agentlas-ai/agentlas-desktop/generate-image"><img src="https://agentmods.dev/badge/skills/agentlas-ai/agentlas-desktop/generate-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 | $0.00081 | $0.04053 |
| Opus 5.5 | $0.00032 | $0.01621 |
| Sonnet 5.5 | $0.00016 | $0.00811 |
| Haiku 4.5 | $0.00008 | $0.00405 |
Grade A, and why
generate-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 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.
Makes network callslowCapability
Not a fault in itself. Listed so you know the mod talks to something, and to what.
curl -s https://openrouter.ai/api/v1/images \ This is a copy
88% identical to generate-image — 148 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 — 322 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Generate Image
Generate and edit images through OpenRouter's Image API, which reaches Gemini, Seedream, Recraft, GPT-Image, Riverflow, and roughly thirty other models behind one request shape.
When to use
Use this skill for: photos and photorealistic images, illustrations and artwork, concept art, presentation and poster visuals, logos and vector marks, image editing, and compositing from reference images.
Use scientific-schematics instead for: flowcharts, circuit diagrams, biological pathways,
system architecture diagrams, CONSORT diagrams, and other technical schematics.
API key
Generation requires an OpenRouter key. The script resolves it in this order:
--api-key- the
OPENROUTER_API_KEYenvironment variable OPENROUTER_API_KEY=in a.envfile, searching the working directory upward, then the script's own directory
If none is present the script exits with setup instructions. Keys: https://openrouter.ai/keys
--list-models, --model-info, and --dry-run need no key.
Quick start
# Generate
python scripts/generate_image.py "A beautiful sunset over mountains"
# Edit an existing image
python scripts/generate_image.py "Make the sky purple" -i photo.jpg -o edited.png
Paths are relative to this skill's directory. Output defaults to generated_image.<ext>, where the
extension follows the media type the model returned. The per-request cost is printed after the run.
Then look at the image. Read the file back and check it before using it anywhere: composition, aspect ratio, and any text are all things models get wrong silently.
Choosing a model
Default: google/gemini-3.1-flash-image.
| Need | Model |
|---|---|
| General quality, prompt adherence | google/gemini-3.1-flash-image |
| Highest Gemini tier | google/gemini-3-pro-image |
| Cheap iteration | google/gemini-3.1-flash-lite-image (1K only), openai/gpt-image-1-mini |
| Photoreal control, reproducible seeds | bytedance-seed/seedream-4.5 |
| Several images per request | bytedance-seed/seedream-4.5, openai/gpt-image-2 (up to 10) |
| Vector / SVG output | recraft/recraft-v4.1-vector |
| Transparent background | openai/gpt-image-1 with --background transparent |
| Legible text inside the image | recraft/recraft-v4.1, sourceful/riverflow-v2.5-pro — see the caveat below |
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.
- 1mo ago First seen · 322 lines · 81 tokens per session scan A d765aed1c1fd
generate-image is a skill published in the GitHub repository agentlas-ai/agentlas-desktop (6 stars, last pushed yesterday), licensed Apache-2.0. It adds 81 tokens to every session and 4,053 once invoked, about $0.0003 per session on Opus 5.5. A static security scan graded it A with 1 finding (makes network calls). It is 88% identical to generate-image, differing in 148 lines, and is treated as a copy.
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