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/fradser/dotclaude/generate-imagenpx skills add FradSer/dotclaude --skill generate-imagegit clone --depth 1 https://github.com/FradSer/dotclaudeWrote 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/fradser/dotclaude/generate-image)<a href="https://agentmods.dev/skills/fradser/dotclaude/generate-image"><img src="https://agentmods.dev/badge/skills/fradser/dotclaude/generate-image.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 | $0.00067 | $0.01957 |
| Opus 5 | $0.00034 | $0.00979 |
| Sonnet 5 | $0.00013 | $0.00391 |
| Haiku 4.5 | $0.00007 | $0.00196 |
Grade A, and why
generate-image 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 4d 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 — 121 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Generate Image (gemini / openai backends)
Turn a text prompt — optionally with reference images — into one or more images
via one of two explicit backends. --backend has no default — always pick
one (gemini or openai), or set IMAGE_BACKEND. The script does the API
call, file saving, and configuration; your job is to pick the backend, craft a
strong prompt, and wire up the flags.
gemini— Google's native Gemini API viagoogle-genai. Full feature set:--aspect-ratio,--sizetiers (1K/2K/4K), and multi-image edit/compose (-i a.png -i b.png). UseGEMINI_API_KEY/GEMINI_IMAGE_MODEL.openai— any OpenAI-compatible image endpoint (OpenAI official, DashScope, new-api gateways, ...). UseOPENAI_API_KEY/OPENAI_BASE_URL/OPENAI_IMAGE_MODEL. Supportsgpt-image-2,dall-e-3, etc.
Prerequisites
-
uvavailable (the script is a self-containeduv runscript; deps install on first run). -
The API key for the chosen backend. The script resolves it progressively, so any one works:
export GEMINI_API_KEY=...(gemini backend) orexport OPENAI_API_KEY=...(openai backend), or- a
.envfile (checked in order:$PWD/.env, then${CLAUDE_PLUGIN_ROOT}/.env), or --api-key ...on the command line.
CRITICAL -- Never paste the API key into chat or commit a
.env. If the key is missing, the script prints exactly how to set it — relay that to the user rather than guessing.
Workflow
1. Clarify intent (only if genuinely ambiguous)
A one-line request like "draw a fox in a spacesuit" needs no questions — just generate. Ask (via AskUserQuestion) only when a choice would materially change the result and you cannot reasonably default it, e.g. aspect ratio for a "banner vs. avatar", or whether an attached image should be edited vs. used as style reference.
2. Craft the prompt
Read references/prompting.md before writing a non-trivial prompt. In short: describe
subject, composition, lighting, style, and mood in concrete terms; put any literal text to
render in quotes; and for edits, state what to change AND what to keep. A vivid one-paragraph
prompt beats a terse phrase.
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.
- 4d ago First seen · 121 lines · 0 tokens per session scan A 9fd4aae59b8f
generate-image is a skill published in the GitHub repository FradSer/dotclaude (588 stars, last pushed 22d ago), licensed MIT. It adds 67 tokens to every session and 1,957 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 2026-08-30.
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