image-gen

A command for generating cover or article images with supported image-generation tools. It saves the resulting PNG and a record of the prompt.

In plain words
What is it for?
Use it to make a 16:9 cover image or an image that explains one article concept, then add it to an article with alternative text.
Why use it?
It gives content workflows a defined way to create required images and avoids claiming an image exists when generation failed.

Command

Install

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.

agentmods
npx agentmods add commands/spillwavesolutions/image_gen/image-gen
Clone the repo
git clone --depth 1 https://github.com/SpillwaveSolutions/image_gen
Per session 18 Only the description is in the session, so the agent can decide to use it. The body loads when it is invoked.
When invoked 242 The whole file, excluding the scripts and references it only reads on demand.
Security scan A 0 findings. Scan, not verified.
Origin original No closer match found in the catalogue.
Token cost

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.

ModelPer sessionOnce invoked
Fable 5 $0.00018 $0.00242
Opus 5 $0.00009 $0.00121
Sonnet 5 $0.00004 $0.00048
Haiku 4.5 $0.00002 $0.00024

Measured 2d ago against content hash 45264fddb233, method: parsed. Prices are Anthropic first-party input rates as of 2026-08-30, from the pricing page.

Security

Grade A, and why

image-gen 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 2d 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.

commands/image-gen.md · 18 lines

What it actually says

Run skills/image-gen/scripts/generate.py.

  1. Choose kind: cover (Nano Banana Pro, 16:9) or article (Nano Banana 2).
  2. Write a specific prompt. Covers are metaphorical. In-article images explain one concept.
  3. Call generate.py with --output under work/images/.
  4. Use --engine-hint imagen|grok|codex when the host matters. grok maps to the scriptable grok-img CLI, which needs grok-img auth login or XAI_API_KEY. Codex must write the requested PNG; prose-only results fail closed with a retained prompt sidecar.
  5. If exit 2, no backend is on PATH. The prompt sidecar is already written. Run /image-gen-install, install grok-img, or use Codex.
  6. Integrate the PNG with 50–125 character ALT text.

Do not invent a PNG. Do not send Mermaid or PlantUML through this command.

Changes

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.

  1. 2d ago First seen · 18 lines · 18 tokens per session scan A 45264fddb233

Subscribe to this mod's changes

image-gen is a command published in the GitHub repository SpillwaveSolutions/image_gen (2 stars, last pushed 4d ago), licensed MIT. It adds 18 tokens to every session and 242 once invoked, about $0.0001 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.