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 commands/spillwavesolutions/image_gen/image-gen-installgit clone --depth 1 https://github.com/SpillwaveSolutions/image_genWrote 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/commands/spillwavesolutions/image_gen/image-gen-install)<a href="https://agentmods.dev/commands/spillwavesolutions/image_gen/image-gen-install"><img src="https://agentmods.dev/badge/commands/spillwavesolutions/image_gen/image-gen-install.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 | $0.00015 | $0.00136 |
| Opus 5 | $0.00008 | $0.00068 |
| Sonnet 5 | $0.00003 | $0.00027 |
| Haiku 4.5 | $0.00002 | $0.00014 |
Grade A, and why
image-gen-install 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 3d 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.
What it actually says
Run skills/image-gen/scripts/install_imagen.py.
pip install -U gemini-imagensoimagenis on PATH.- Pin
imagen config set default_model gemini-3.1-flash-image(Nano Banana 2). - Confirm
GOOGLE_API_KEYor runimagen keys set google YOUR_KEY. - List models with
python3 skills/image-gen/scripts/install_imagen.py --list-models.
Cover images still select Nano Banana Pro via --kind cover even after the CLI default is Flash.
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.
- 3d ago First seen · 13 lines · 15 tokens per session scan A 3df8ff7ef0d7
image-gen-install is a command published in the GitHub repository SpillwaveSolutions/image_gen (2 stars, last pushed 5d ago), licensed MIT. It adds 15 tokens to every session and 136 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.
Other commands, from other repositories
write-sdd
Write DESIGNDOC.md using the arc42 SDD template, Mermaid-first diagrams, one voice pack.
write-architecture
Write a C4-first architecture document with Mermaid flowcharts and sequences.
write-wireframe
Draw PlantUML Salt UI wireframes for every user-facing screen. Render PNG or SVG.
write-design-doc
Alias for write-sdd. Emits DESIGNDOC.md.
work-update
Send work summary to configured Matrix room.
grade-config
Grade CLAUDE.md and AGENTS.md files against best practices.