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 Morningstar202604/awesome-skillkit --skill image-generationgit clone --depth 1 https://github.com/Morningstar202604/awesome-skillkitWrote 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/morningstar202604/awesome-skillkit/image-generation)<a href="https://agentmods.dev/skills/morningstar202604/awesome-skillkit/image-generation"><img src="https://agentmods.dev/badge/skills/morningstar202604/awesome-skillkit/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/morningstar202604/awesome-skillkit/image-generation"><img src="https://agentmods.dev/badge/skills/morningstar202604/awesome-skillkit/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 | $0.00107 | $0.01385 |
| Opus 5 | $0.00053 | $0.00692 |
| Sonnet 5 | $0.00021 | $0.00277 |
| Haiku 4.5 | $0.00011 | $0.00138 |
Grade A, and why
image-generation 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 9d 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.
compatibility: Requires curl and network access to the generation gateway endpoint. How it starts
The opening of the file, as written. The whole thing — 135 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Image Generation (text-to-image / image-to-image)
Drive a local generation gateway with curl: submit a task, poll until done, download the PNG, hand the file path to the user. No Pillow/OpenCV, no dependency installs — the gateway renders, you orchestrate.
Inputs
| Input | Required | Default | Notes |
|---|---|---|---|
| subject description | yes | — | what the image shows; see prompt formula below |
| size | no | 1024x1024 |
any WxH where both are multiples of 16 |
| quality | no | auto |
auto / high / medium / low |
| n | no | 1 |
number of images |
| reference_image_urls | no | — | up to 14 URLs; switches mode to image-to-image |
Size constraints (VERIFY BEFORE USE against your gateway docs): both dimensions must be multiples of 16; aspect ratio within 1:3–3:1; total pixels between 655360 and 8294400.
Common sizes: 1024x1024, 1024x1536, 1536x1024, 960x1280, 1280x960, 1088x1920, 1920x1088, 2048x2048, 2048x3072, 3072x2048, 1920x2560, 2560x1920, 1440x2560, 2560x1440, 2160x3840, 3840x2160.
If the required input is missing, ask ONCE:
请描述想要的画面：主体、风格、用途（如封面/插画/产品图）。可选告知： 尺寸（默认 1024x1024）、画质（默认 auto）、数量（默认 1）、参考图 URL。
Preflight self-check
curl -s -o /dev/null -w "%{http_code}" --max-time 5 "$IMAGE_GATEWAY_BASE/api/image/status?task_id=0"
Expected: an HTTP code prints (gateway reachable). If connection fails: report the base URL problem, ask the user to start the gateway, STOP. Never fall back to drawing tools or placeholder files.
Workflow
Step 1: Resolve the gateway base
IMAGE_GATEWAY_BASE="${IMAGE_GATEWAY_BASE:-http://127.0.0.1:30080}"
echo "$IMAGE_GATEWAY_BASE"
Expected: prints one URL.
Step 2: Compose the prompt
Describe objects, style, and any text layout precisely — instruction clarity and detail fidelity dominate output quality. Structure:
[主体与细节] + [风格/媒介] + [构图与视角] + [文字排版要求，如有]
Rules: concrete nouns over adjectives ("磨砂玻璃瓶上的水珠" not "好看的瓶子"); state style once clearly ("扁平插画、有限四色"); if the image must contain text, quote the exact string and its position ("顶部横排文字： 春季上新").
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.
- 9d ago First seen · 135 lines · 107 tokens per session scan A 0ac7107e1308
image-generation is a skill published in the GitHub repository Morningstar202604/awesome-skillkit (1 stars, last pushed yesterday), licensed Apache-2.0. It adds 107 tokens to every session and 1,385 once invoked, about $0.0005 per session on Opus 5. A static security scan graded it A with 1 finding (makes network calls). No closer match exists in the catalogue, so it is treated as the original; first seen 2026-08-31.
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