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 GobbyAI/gobby --skill nano-bananagit clone --depth 1 https://github.com/GobbyAI/gobbyWrote 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/gobbyai/gobby/nano-banana)<a href="https://agentmods.dev/skills/gobbyai/gobby/nano-banana"><img src="https://agentmods.dev/badge/skills/gobbyai/gobby/nano-banana/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/gobbyai/gobby/nano-banana"><img src="https://agentmods.dev/badge/skills/gobbyai/gobby/nano-banana.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 | $0.00120 | $0.01891 |
| Opus 5 | $0.00060 | $0.00945 |
| Sonnet 5 | $0.00024 | $0.00378 |
| Haiku 4.5 | $0.00012 | $0.00189 |
Grade A, and why
nano-banana 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 11d 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.
The source is not reproduced here
A licence we could not identify
The repository carries a LICENSE file, but it is custom or dual enough that GitHub cannot name it and neither can this catalogue. Unknown terms are not permission, so the body is not copied here. Read the licence at the source and decide for yourself.
What ships with it
9 files 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.
- references/anime-to-life.md 1.0 KB
- references/character-reference-sheet.md 1.8 KB
- references/figure-to-life.md 3.8 KB
- references/imax-portrait.md 2.6 KB
- references/j-cover.md 3.3 KB
- references/j-idol.md 3.5 KB
- references/j-poses.md 3.5 KB
- references/photo-restoration.md 1.9 KB
- references/real-mecha.md 2.7 KB
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.
- 11d ago First seen · 183 lines · 120 tokens per session scan A 03ac638a629d
nano-banana is a skill published in the GitHub repository GobbyAI/gobby (19 stars, last pushed yesterday), with no licence file. It adds 120 tokens to every session and 1,891 once invoked, about $0.0006 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 2026-08-30.
Other skills, from other repositories
prompt-craft
Translate natural language image descriptions into detailed, structured DALL-E prompts with subject, style, composition, lighting, and mood specifications.
ai-video-prompt-engineer
Use when the user wants to create AI video generation prompts for a brand, product, website, or topic. Includes interactive Q&A flow to gather requirements then outputs a single unified prompt (one paste) for tools like OmniFlash, Runway, Pika, Kling, Sora. Do NOT use for HyperFrames/Remotion video creation workflows.
video-ai-automation
Use when choosing a video-AI content niche, planning a faceless AI video channel, monetizing AI videos, or selecting AI video tools (Veo, Kling, ElevenLabs, CapCut). Covers niche playbook, RPM, and the automation pipeline.
story-engineering
Use when creating a storyline, script, or narrative for short-form video (60-90 seconds): story hooks, beat sheets, story frameworks, real-based/true-story structure, retention rules. Not for coding tasks.
hipson-hyperframes-video
Use for optional HyperFrames video composition workflows, website-to-video planning, product videos, launch videos, animated case studies, social shorts, and deterministic timeline QA.
short-video-production
Use when turning a finished story or script into a rendered 1-minute video: HyperFrames composition, scene timing, captions, voiceover sync, 9:16 export. Not for story writing (use story-engineering).