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 ssmurfgg04-gif/context-m --skill image-generationgit clone --depth 1 https://github.com/ssmurfgg04-gif/context-mWrote 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/ssmurfgg04-gif/context-m/image-generation)<a href="https://agentmods.dev/skills/ssmurfgg04-gif/context-m/image-generation"><img src="https://agentmods.dev/badge/skills/ssmurfgg04-gif/context-m/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/ssmurfgg04-gif/context-m/image-generation"><img src="https://agentmods.dev/badge/skills/ssmurfgg04-gif/context-m/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 | $0.00069 | $0.03769 |
| Opus 5 | $0.00034 | $0.01885 |
| Sonnet 5 | $0.00014 | $0.00754 |
| Haiku 4.5 | $0.00007 | $0.00377 |
Grade A, and why
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 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.
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 — 584 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Image Generation Skill
This skill guides the implementation of image generation functionality using the z-ai-web-dev-sdk package and CLI tool, enabling creation of high-quality images from text descriptions.
Skills Path
Skill Location: {project_path}/skills/image-generation
this skill is located at above path in your project.
Reference Scripts: Example test scripts are available in the {Skill Location}/scripts/ directory for quick testing and reference. See {Skill Location}/scripts/image-generation.ts for a working example.
Overview
Image Generation allows you to build applications that create visual content from text prompts using AI models, enabling creative workflows, design automation, and visual content production.
IMPORTANT: z-ai-web-dev-sdk MUST be used in backend code only. Never use it in client-side code.
Prerequisites
The z-ai-web-dev-sdk package is already installed. Import it as shown in the examples below.
Basic Image Generation
Simple Image Creation
import ZAI from 'z-ai-web-dev-sdk';
import fs from 'fs';
async function generateImage(prompt, outputPath) {
const zai = await ZAI.create();
const response = await zai.images.generations.create({
prompt: prompt,
size: '1024x1024'
});
const imageBase64 = response.data[0].base64;
// Save image
const buffer = Buffer.from(imageBase64, 'base64');
fs.writeFileSync(outputPath, buffer);
console.log(`Image saved to ${outputPath}`);
return outputPath;
}
// Usage
await generateImage(
'A cute cat playing in the garden',
'./cat_image.png'
);
Multiple Image Sizes
import ZAI from 'z-ai-web-dev-sdk';
import fs from 'fs';
// Supported sizes
const SUPPORTED_SIZES = [
'1024x1024', // Square
'768x1344', // Portrait
'864x1152', // Portrait
'1344x768', // Landscape
'1152x864', // Landscape
'1440x720', // Wide landscape
'720x1440' // Tall portrait
];
async function generateImageWithSize(prompt, size, outputPath) {
if (!SUPPORTED_SIZES.includes(size)) {
throw new Error(`Unsupported size: ${size}. Use one of: ${SUPPORTED_SIZES.join(', ')}`);
}
const zai = await ZAI.create();
const response = await zai.images.generations.create({
prompt: prompt,
size: size
});
const imageBase64 = response.data[0].base64;
const buffer = Buffer.from(imageBase64, 'base64');
fs.writeFileSync(outputPath, buffer);
return {
path: outputPath,
size: size,
fileSize: buffer.length
};
}
// Usage - Different sizes
await generateImageWithSize(
'A beautiful landscape',
'1344x768',
'./landscape.png'
);
await generateImageWithSize(
'A portrait of a person',
'768x1344',
'./portrait.png'
);
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.
- 9d ago First seen · 584 lines · 69 tokens per session scan A eeb64a859c4f
image-generation is a skill published in the GitHub repository ssmurfgg04-gif/context-m (2 stars, last pushed yesterday), licensed Apache-2.0. It adds 69 tokens to every session and 3,769 once invoked, about $0.0003 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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