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 NikiforovAll/claude-code-rules --skill nano-banana-promptinggit clone --depth 1 https://github.com/NikiforovAll/claude-code-rulesWrote 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/nikiforovall/claude-code-rules/nano-banana-prompting)<a href="https://agentmods.dev/skills/nikiforovall/claude-code-rules/nano-banana-prompting"><img src="https://agentmods.dev/badge/skills/nikiforovall/claude-code-rules/nano-banana-prompting/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/nikiforovall/claude-code-rules/nano-banana-prompting"><img src="https://agentmods.dev/badge/skills/nikiforovall/claude-code-rules/nano-banana-prompting.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 | $0.00051 | $0.01257 |
| Opus 5 | $0.00026 | $0.00629 |
| Sonnet 5 | $0.00010 | $0.00251 |
| Haiku 4.5 | $0.00005 | $0.00126 |
Grade A, and why
nano-banana-prompting 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.
How it starts
The opening of the file, as written. The whole thing — 146 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Nano Banana Prompting
Interactive prompt crafting for Nano Banana Pro image generation. This skill guides users through a structured process to create effective prompts by clarifying intent and applying proven techniques.
Workflow
Step 1: Gather Reference Materials
Before asking questions, check if the user has provided:
- Reference images - Photos to use for character consistency, style, or composition
- Existing prompts - Previous attempts to improve upon
- Visual references - Screenshots or examples of desired output
If reference materials are available, this affects which techniques apply (e.g., Reference Role Assignment, Character Consistency).
Step 2: Clarify Intent with Questions
Use the AskUserQuestion tool to understand the user's goal. Ask questions in batches of 2-4, focusing on the most important aspects first.
Core Questions (always ask)
-
Output Type - What kind of image?
- Photo/realistic
- Illustration/artistic
- Infographic/educational
- Product shot/commercial
- UI mockup/design
-
Subject - Who or what is the main focus?
- Person (with or without reference)
- Object/product
- Scene/environment
- Concept/abstract
Technique-Specific Questions (based on answers)
If Photo/Realistic:
- What era or camera style? (modern DSLR, 1990s film, 2000s digital)
- Specific lighting? (golden hour, studio, flash)
- Aspect ratio needed? (16:9, 9:16, 1:1)
If Reference Images Provided:
- What role for each image? (pose, style, color palette, background)
- Should character identity be preserved?
- Combine images or use as style reference?
If Text Needed:
- What text should appear?
- What font style? (serif, sans-serif, handwritten)
- Where should text be placed?
If Educational/Infographic:
- What concept to explain?
- Target audience level?
- Should it include labels, arrows, flow?
Step 3: Determine Prompt Style
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.
- 11d ago First seen · 146 lines · 51 tokens per session scan A 41324b12b25d
nano-banana-prompting is a skill published in the GitHub repository NikiforovAll/claude-code-rules (141 stars, last pushed 12d ago), licensed Apache-2.0. It adds 51 tokens to every session and 1,257 once invoked, about $0.0003 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.
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