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 agentmods add skills/sanpingli/skills/image-generatornpx skills add sanpingli/skills --skill image-generatorgit clone --depth 1 https://github.com/sanpingli/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/sanpingli/skills/image-generator)<a href="https://agentmods.dev/skills/sanpingli/skills/image-generator"><img src="https://agentmods.dev/badge/skills/sanpingli/skills/image-generator.svg" alt="Measured on agentmods" 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 | $0.00138 | $0.02371 |
| Opus 5 | $0.00069 | $0.01185 |
| Sonnet 5 | $0.00028 | $0.00474 |
| Haiku 4.5 | $0.00014 | $0.00237 |
Grade A, and why
image-generator 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 5d 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 — 267 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Image Generator
Purpose
Standalone batch image generation tool. Accepts a structured JSON request file containing one or more image generation tasks, each with its own prompt, dimensions, quality level, and optional parameters. Generates images via Azure AI backends and produces an output manifest mapping each request to its generated file.
Two generation backends:
- gpt-image-1.5 — Azure OpenAI (fast, ~10–15 s/image)
- FLUX.1-Kontext-pro — Azure Serverless FLUX (high fidelity, ~30–60 s/image)
Architecture
This skill is a tool-only skill — no LLM judgment required.
This skill's tools:
| Tool | Purpose | Input | Output |
|---|---|---|---|
generate_images.py |
Batch image generation | image_requests.json |
images/*.png + image_generation_output.json |
Environment variables (configured in .env at project root):
| Backend | Variables | Notes |
|---|---|---|
| gpt-image-1.5 | AZURE_OPENAI_IMAGE_ENDPOINT, AZURE_OPENAI_IMAGE_DEPLOYMENT, AZURE_OPENAI_IMAGE_API_VERSION, AZURE_OPENAI_IMAGE_TIMEOUT |
Default backend. |
| FLUX.1-Kontext-pro | AZURE_FLUX_IMAGE_ENDPOINT, AZURE_FLUX_IMAGE_DEPLOYMENT, AZURE_FLUX_IMAGE_API_VERSION, AZURE_FLUX_IMAGE_TIMEOUT |
Higher fidelity, longer timeout. Disabled by default. |
Backend enable/disable (configured in .env or environment):
| Variable | Default | Description |
|---|---|---|
IMAGE_BACKEND_GPT_IMAGE_ENABLED |
true |
Set false to disable gpt-image backend |
IMAGE_BACKEND_FLUX_ENABLED |
false |
Set true to enable FLUX backend |
When a backend is disabled, tasks targeting it are automatically remapped to the default backend. If all needed backends are disabled, the script aborts with an error.
Authentication priority (both backends):
AZURE_OPENAI_IMAGE_API_KEY/AZURE_FLUX_IMAGE_API_KEYenv varazure-identityDefaultAzureCredential (if installed)az account get-access-token(Azure CLI fallback)
What ships with it
5 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.
- 5d ago First seen · 267 lines · 138 tokens per session scan A 16c05dcfd1df
image-generator is a skill published in the GitHub repository sanpingli/skills (2 stars, last pushed 4mo ago), licensed MIT. It adds 138 tokens to every session and 2,371 once invoked, about $0.0007 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 2026-08-31.
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