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 EvoScientist/EvoSkills --skill nano-bananagit clone --depth 1 https://github.com/EvoScientist/EvoSkillsWrote 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/evoscientist/evoskills/nano-banana)<a href="https://agentmods.dev/skills/evoscientist/evoskills/nano-banana"><img src="https://agentmods.dev/badge/skills/evoscientist/evoskills/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/evoscientist/evoskills/nano-banana"><img src="https://agentmods.dev/badge/skills/evoscientist/evoskills/nano-banana.svg" alt="Reviewed on agentmods" width="80" height="20"></a>- NVIDIA SkillSpector pass
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 | $0.00128 | $0.03826 |
| Opus 5.5 | $0.00051 | $0.01530 |
| Sonnet 5.5 | $0.00026 | $0.00765 |
| Haiku 4.5 | $0.00013 | $0.00383 |
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 today.
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.
Copies of this mod
1 near-identical copy found in the catalogue:
- nano-banana — 95% identical, 71 lines differ
How it starts
The opening of the file, as written. The whole thing — 364 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Nano Banana
Generate high-quality presentation slides as images using Gemini's image generation API, review them interactively in a browser, and iteratively edit based on feedback.
When to Use This Skill
- User asks to create a presentation, slide deck, or PPT
- User wants to generate visual slides for a talk or lecture
- User has a document or outline and wants slides based on it
- User says "make me a PPT", "generate slides", "create a presentation"
- User wants to edit or refine existing generated slides
- User needs high-quality figures, diagrams, or illustrations for papers or documents
- User asks to generate research figures, architecture diagrams, or concept illustrations
Do NOT use for:
- Writing academic papers → use
paper-writing - Planning academic conference talk narrative structure → use
academic-slides
Before You Start: Prerequisites
Before proceeding with any slide generation, verify these prerequisites. Script and style paths in this document are relative to this skill's directory.
-
Dependencies:
pip install pillow google-genai python-pptx python-dotenv(also listed inrequirements.txtat the skill root). Install into the environment the user is working in. Atlas Cloud uses the same dependencies and does not require an additional SDK. -
Provider and API Key: Gemini is the default provider. Check that its API key is available:
echo $GOOGLE_API_KEYIf empty, ask the user to provide one. They can either:
- Set it via config:
EvoSci config set google_api_key <key> - Provide it directly (pass via
--api-keyargument) - If the user provides the key in conversation, pass it to scripts with
--api-key
To use Atlas Cloud instead, set
ATLASCLOUD_API_KEYand pass--provider atlas. Atlas Cloud is opt-in and does not change the default Gemini workflow. - Set it via config:
-
Language: Ask the user what language the slide content should be in. This affects the content you write in
slides_plan.json, not the style template.
What ships with it
10 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.
- requirements.txt 76 B
- scripts/atlas_image.py 8.8 KB runs code
- scripts/edit_slide.py 6.7 KB runs code
- scripts/generate_ppt.py 21 KB runs code
- scripts/package_pptx.py 3.1 KB runs code
- scripts/serve_viewer.py 4.9 KB runs code
- styles/gradient-glass.md 4.5 KB
- styles/lineal-color.md 4.4 KB
- styles/vector-illustration.md 4.6 KB
- templates/viewer.html 10 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.
- today Changed · +31 lines c15ace660ecc
- 27d ago Changed · +2 lines 6296595ce0f5
- 1mo ago First seen · 331 lines · 128 tokens per session scan A bb823f256fb9
nano-banana is a skill published in the GitHub repository EvoScientist/EvoSkills (481 stars, last pushed today), licensed Apache-2.0. It adds 128 tokens to every session and 3,826 once invoked, about $0.0005 per session on Opus 5.5. 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.
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