Borrowing it
Nothing to install: this file belongs to Emily2040/nano-banana-image-skill. Take a copy, put it at the same path in your own repository, and replace the rules that are about this project with yours.
curl -O https://raw.githubusercontent.com/Emily2040/nano-banana-image-skill/master/AGENTS.mdgit clone --depth 1 https://github.com/Emily2040/nano-banana-image-skillWrote 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/instructions/emily2040/nano-banana-image-skill/agents-md)<a href="https://agentmods.dev/instructions/emily2040/nano-banana-image-skill/agents-md"><img src="https://agentmods.dev/badge/instructions/emily2040/nano-banana-image-skill/agents-md/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/instructions/emily2040/nano-banana-image-skill/agents-md"><img src="https://agentmods.dev/badge/instructions/emily2040/nano-banana-image-skill/agents-md.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 | $0.00401 | $0.00401 |
| Opus 5 | $0.00200 | $0.00200 |
| Sonnet 5 | $0.00080 | $0.00080 |
| Haiku 4.5 | $0.00040 | $0.00040 |
Grade A, and why
nano-banana-image-skill AGENTS.md 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.
What it actually says
Nano Banana Image Skill — AGENTS instructions
This repository is a portable image-prompting skill pack.
Canonical entrypoint
Read SKILL.md first.
Treat SKILL.md as the authoritative workflow for prompt authoring, editing, routing, preservation, and JSON emission.
Secondary files
Use these on demand:
README.mdfor installation, examples, and repo intentschemas/authoring-base.jsonfor rich creative briefsschemas/runtime-compact.jsonfor final runtime payloadsregistry/for aliases, style axes, token budgets, and slop scrubbingskills/core/for modular prompting logicexamples/for ground-truth samplesscripts/compile_runtime.pyto compile authoring JSON into runtime JSONscripts/validate_repo.pyto validate the pack
Working agreements
- Preserve the exact folder layout unless explicitly asked to restructure it.
- Keep
SKILL.mdconcise and move deep details into modular files. - Prefer editing the most specific file rather than stuffing every rule into the root.
- When adding new style modules, update:
registry/style-axes.mdregistry/aliases.json- example files if behavior changes materially
- When changing schemas, validate the examples immediately after.
- Do not remove the
docs/site; it is part of the package front-end. - Before full validation, install dev dependencies with
python -m pip install -r requirements-dev.txt.
Expected outputs
For user-facing prompt work, return:
- chosen model target,
- assumptions,
- production prompt,
- preserve / avoid notes when relevant,
- runtime JSON when useful.
For repository work, update files directly and keep examples consistent.
Aesthetic bar
The pack should feel precise, elegant, and operational — not like a blender full of adjectives.
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 · 51 lines · 401 tokens per session scan A 878aa84c2603
nano-banana-image-skill AGENTS.md is an instructions file published in the GitHub repository Emily2040/nano-banana-image-skill (30 stars, last pushed 3mo ago), licensed Apache-2.0. It adds 401 tokens to every session, about $0.0020 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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