OpenSquilla is a token-efficient AI agent with a shared execution loop for CLI, web, and chat interfaces. It routes requests among language models, while providing persistent memory, sandboxing, web search, embeddings, and tool handling for agent-based tasks. Its catalogue entries are skills that extend the agent's workflows.
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 opensquilla/opensquilla --skill nano-banana-pro-openroutergit clone --depth 1 https://github.com/opensquilla/opensquillaWrote 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/opensquilla/opensquilla/nano-banana-pro-openrouter)<a href="https://agentmods.dev/skills/opensquilla/opensquilla/nano-banana-pro-openrouter"><img src="https://agentmods.dev/badge/skills/opensquilla/opensquilla/nano-banana-pro-openrouter/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/opensquilla/opensquilla/nano-banana-pro-openrouter"><img src="https://agentmods.dev/badge/skills/opensquilla/opensquilla/nano-banana-pro-openrouter.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 | $0.00049 | $0.00888 |
| Opus 5 | $0.00024 | $0.00444 |
| Sonnet 5 | $0.00010 | $0.00178 |
| Haiku 4.5 | $0.00005 | $0.00089 |
Grade A, and why
nano-banana-pro-openrouter 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 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.
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 — 93 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Nano Banana Pro OpenRouter Adapter
This skill is a deterministic adapter around OpenRouter image generation. It is
intended for meta-skill skill_exec use, not as an open-ended agent surface.
Contract
- During MetaSkill execution, accepts only the parent-resolved, process-local
provider lease. The credential, endpoint, and proxy never enter
with, argv, the plan, or persisted run data. Direct standalone CLI use may still provideOPENROUTER_API_KEY. - Does not read
.envfiles, prompt for credentials, print credentials, or write credentials to disk. - Uses only the model, base URL, output directory, and local path prefix passed by the caller.
- Saves generated image bytes under the supplied output directory.
- Emits one
IMAGE_READY:JSON line per saved image. - A missing/invalid required MetaSkill lease exits 78 before any provider
submission. Provider failures after submission emit
IMAGE_GENERATION_FAILEDwith exit 0 so the webpage can bind a replacement slot without auto-replay.
Meta-Skill Payload Mode
When stdin is JSON containing media_slots, image_slots, slots, or
page_outline, the adapter generates image slots and preserves already
downloaded images. Structured slots are preferred over free-form outline text:
{
"requirement_framing": "...",
"media_slots": {"slots": [{"slot_id": "hero-visual", "modality": "image"}]},
"page_outline": "...",
"image_download": "...",
"include_images": "YES",
"visual_style": "..."
}
Existing IMAGE_READY: records in image_download are preserved. If
IMAGE_DOWNLOAD_INCOMPLETE: lists unfilled_slot_ids, only those slots are
generated. If the caller requested images but both structured slots and outline
slot parsing are empty, the adapter synthesizes minimal webpage-safe image
slots from the brief instead of emitting no_image_slots_to_generate.
Plain Prompt Mode
When stdin is plain text, the adapter generates one image using that text as the
prompt and the --filename stem as the slot_id.
What ships with it
2 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.
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 · 93 lines · 49 tokens per session scan A dedbb140c877
nano-banana-pro-openrouter is a skill published in the GitHub repository opensquilla/opensquilla (6,940 stars, last pushed 5d ago), licensed Apache-2.0. It adds 49 tokens to every session and 888 once invoked, about $0.0002 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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