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 krusemediallc/cursor-ad-agent --skill nano-banana-image-adgit clone --depth 1 https://github.com/krusemediallc/cursor-ad-agentWrote 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/krusemediallc/cursor-ad-agent/nano-banana-image-ad)<a href="https://agentmods.dev/skills/krusemediallc/cursor-ad-agent/nano-banana-image-ad"><img src="https://agentmods.dev/badge/skills/krusemediallc/cursor-ad-agent/nano-banana-image-ad/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/krusemediallc/cursor-ad-agent/nano-banana-image-ad"><img src="https://agentmods.dev/badge/skills/krusemediallc/cursor-ad-agent/nano-banana-image-ad.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 | $0.00154 | $0.02637 |
| Opus 5 | $0.00077 | $0.01319 |
| Sonnet 5 | $0.00031 | $0.00527 |
| Haiku 4.5 | $0.00015 | $0.00264 |
Grade A, and why
nano-banana-image-ad scanned grade A with 1 finding against 26 rules in 11 categories — prompt injection, anti-refusal, data exfiltration, privilege escalation, supply chain, agent snooping, system-prompt leakage, SSRF and excessive agency — measured 12d ago.
A static scan of the body, not an audit. Every finding is printed with the line that produced it so you can judge whether it matters here. A mod is markdown that instructs an agent; that is exactly why what it instructs is worth reading.
Makes network callslowCapability
Not a fault in itself. Listed so you know the mod talks to something, and to what.
3. Health-check: `curl -sf -H "$AUTH" "$BASE_URL/v1/products"` returns 200. This is a copy
98% identical to nano-banana-image-ad — 10 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.
How it starts
The opening of the file, as written. The whole thing — 168 lines — stays where its author put it; the contents beside it link to each section on GitHub.
nano-banana-image-ad (Arcads)
Generate one or more standalone Meta ad image creatives via Arcads' POST /v2/images/generate with the Nano Banana model family (default nano-banana-2). Hands the image paths off to your Meta-ad-builder skill — this skill does not upload to Meta itself.
Read order
- This file — Arcads-specific endpoint, auth, presigned upload flow, workflow phases.
- shared/skills/nano-banana-image-ad/prompting/guide.md — model-specific prompting (what Nano Banana is good/bad at, when to switch to gpt-image-2).
- shared/skills/image-ad-prompting/prompting/prompt-library.md — 30+ validated templates with per-model notes.
- shared/skills/image-ad-prompting/prompting/safety-suffixes.md — the 3 always-on guards.
- scripts/generate_image.py — the helper script (Python stdlib only).
Hard rules — never relax
- Model is in the Nano Banana family. The script accepts
nano-banana-2(default),nano-banana-pro(Gemini 3 Pro Image, higher cost / locked identity),nano-banana-edit(inpaint-focused), ornano-banana(legacy). Anything else is refused. If the user asks for gpt-image-2, point them atchatgpt-image-ad. - No platform/screenshot chrome in output.
NO_CHROME_SUFFIXis always on (override only with--allow-chrome). - Edge-safe + glyph-safety suffixes always on unless
--no-safe-zoneis explicit. - Max 14 reference images. Hard Arcads cap for Nano Banana. Script enforces.
- No Meta upload from this skill. Image generation only. The user has a separate ad-builder skill in their stack — hand off via filesystem paths.
- Always present a credit-cost estimate before generating. Each Nano Banana call is one image; multiply by
--n.nano-banana-procosts more thannano-banana-2— surface the per-model rate fromlogs/arcads-api.jsonl.
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.
- 12d ago First seen · 168 lines · 154 tokens per session scan A efb4cc3db4a6
nano-banana-image-ad is a skill published in the GitHub repository krusemediallc/cursor-ad-agent (10 stars, last pushed 1mo ago), licensed MIT. It adds 154 tokens to every session and 2,637 once invoked, about $0.0008 per session on Opus 5. A static security scan graded it A with 1 finding (makes network calls). It is 98% identical to nano-banana-image-ad, differing in 10 lines, and is treated as a copy.
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