Arcads AI Video is an agent skill pack and prompting workspace for creating marketing videos and images through an Arcads account. Claude Code and Cursor users use it to produce advertising creative with Arcads' video, image, audio, and template tools. The catalogue entries provide the skills, instructions, hook, setting, and rule that support this workflow.
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/arcads-claude-code --skill nano-banana-image-adgit clone --depth 1 https://github.com/krusemediallc/arcads-claude-codeWrote 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/arcads-claude-code/nano-banana-image-ad)<a href="https://agentmods.dev/skills/krusemediallc/arcads-claude-code/nano-banana-image-ad"><img src="https://agentmods.dev/badge/skills/krusemediallc/arcads-claude-code/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/arcads-claude-code/nano-banana-image-ad"><img src="https://agentmods.dev/badge/skills/krusemediallc/arcads-claude-code/nano-banana-image-ad.svg" alt="Reviewed on agentmods" width="80" height="20"></a>- NVIDIA SkillSpector warn
SkillSpector: 6 findings, up to high
These are SkillSpector’s own severities. On a checked sample its high-severity flags on skills were ~96% false positives — a documented command, a public API, a “never do X” rule — so we show them as a caution to read, not a verdict. Why →
- high Tool Misuse · line 23 Tool parameters are crafted to achieve unintended or unsafe behavior. Parameter abuse can bypass intended safety checks (e.g. shell=True, --force, dangerous glob patterns).Fix: Validate all tool parameters against an allowlist. Reject dangerous parameter values (shell=True, --force, -rf /) and use safe defaults.
- high Privilege Escalation · line 96 Code accesses credential files (SSH keys, AWS credentials, etc.). This could indicate credential theft attempts.Fix: Remove references to credential paths. Use environment variables or secrets managers. For docs, use placeholder paths (e.g., /path/to/config). Never load .env or token files in production code paths.
- high Privilege Escalation · line 106 Code accesses credential files (SSH keys, AWS credentials, etc.). This could indicate credential theft attempts.Fix: Remove references to credential paths. Use environment variables or secrets managers. For docs, use placeholder paths (e.g., /path/to/config). Never load .env or token files in production code paths.
- high Privilege Escalation · line 117 Code accesses credential files (SSH keys, AWS credentials, etc.). This could indicate credential theft attempts.Fix: Remove references to credential paths. Use environment variables or secrets managers. For docs, use placeholder paths (e.g., /path/to/config). Never load .env or token files in production code paths.
- medium Rogue Agent · line 73 Skill establishes unauthorized persistence across sessions via cron jobs, startup scripts, or state files. Session persistence allows an attacker to maintain access beyond the current interaction.Fix: Remove any persistence mechanisms (cron jobs, startup scripts, state files). Skills should not maintain state across sessions without explicit user consent.
- medium Agent Snooping · line 158 Skill enumerates or reads other installed skills. Access to other skills' SKILL.md files or the skills directory reveals prompt instructions, capabilities, and secrets that should be invisible to peer skills.Fix: Remove all code or instructions that list or read other skills' files or directories. Skills should operate independently; cross-skill access is a privilege escalation.
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 | $0.02652 |
| Opus 5 | $0.00077 | $0.01326 |
| Sonnet 5 | $0.00031 | $0.00530 |
| Haiku 4.5 | $0.00015 | $0.00265 |
Grade A, and why
nano-banana-image-ad scanned grade A with 1 finding against 26 rules in 11 categories — prompt injection, anti-refusal, data exfiltration, privilege escalation, supply chain, agent snooping, system-prompt leakage, SSRF and excessive agency — measured 12d ago.
A static scan of the body, not an audit. Every finding is printed with the line that produced it so you can judge whether it matters here. A mod is markdown that instructs an agent; that is exactly why what it instructs is worth reading.
Makes network callslowCapability
Not a fault in itself. Listed so you know the mod talks to something, and to what.
3. Health-check: `curl -sf -H "$AUTH" "$BASE_URL/v1/products"` returns 200. Copies of this mod
1 near-identical copy found in the catalogue:
- nano-banana-image-ad — 98% identical, 10 lines differ
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 ab78bda77c6a
nano-banana-image-ad is a skill published in the GitHub repository krusemediallc/arcads-claude-code (1,493 stars, last pushed 2mo ago), licensed MIT. It adds 154 tokens to every session and 2,652 once invoked, about $0.0008 per session on Opus 5. A static security scan graded it A with 1 finding (makes network calls). No closer match exists in the catalogue, so it is treated as the original; first seen 2026-08-30.
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