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 geezerrrr/motive --skill nano-banana-progit clone --depth 1 https://github.com/geezerrrr/motiveWrote 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/geezerrrr/motive/nano-banana-pro)<a href="https://agentmods.dev/skills/geezerrrr/motive/nano-banana-pro"><img src="https://agentmods.dev/badge/skills/geezerrrr/motive/nano-banana-pro/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/geezerrrr/motive/nano-banana-pro"><img src="https://agentmods.dev/badge/skills/geezerrrr/motive/nano-banana-pro.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 | $0.00020 | $0.00437 |
| Opus 5 | $0.00010 | $0.00218 |
| Sonnet 5 | $0.00004 | $0.00087 |
| Haiku 4.5 | $0.00002 | $0.00044 |
Grade A, and why
nano-banana-pro 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 13d 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.
This is a copy
89% identical to nano-banana-pro — 8 lines differ, which has more behind it and is treated as the original. This page carries a canonical link to it rather than competing with it.
What it actually says
Nano Banana Pro (Gemini 3 Pro Image)
Use the bundled script to generate or edit images.
Generate
uv run {baseDir}/scripts/generate_image.py --prompt "your image description" --filename "output.png" --resolution 1K
Edit (single image)
uv run {baseDir}/scripts/generate_image.py --prompt "edit instructions" --filename "output.png" -i "/path/in.png" --resolution 2K
Multi-image composition (up to 14 images)
uv run {baseDir}/scripts/generate_image.py --prompt "combine these into one scene" --filename "output.png" -i img1.png -i img2.png -i img3.png
API key
GEMINI_API_KEYenv var- Or set
skills."nano-banana-pro".apiKey/skills."nano-banana-pro".env.GEMINI_API_KEYin~/.openclaw/openclaw.json
Notes
- Resolutions:
1K(default),2K,4K. - Use timestamps in filenames:
yyyy-mm-dd-hh-mm-ss-name.png. - The script prints a
MEDIA:line for OpenClaw to auto-attach on supported chat providers. - Do not read the image back; report the saved path only.
What ships with it
1 file 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.
- 13d ago First seen · 59 lines · 20 tokens per session scan A 9ab0838e959f
nano-banana-pro is a skill published in the GitHub repository geezerrrr/motive (117 stars, last pushed 6mo ago), licensed MIT. It adds 20 tokens to every session and 437 once invoked, about $0.0001 per session on Opus 5. A static security scan graded it A with 0 findings. It is 89% identical to nano-banana-pro, differing in 8 lines, and is treated as a copy.
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