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 meta-research-to-slide-deckgit 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/meta-research-to-slide-deck)<a href="https://agentmods.dev/skills/opensquilla/opensquilla/meta-research-to-slide-deck"><img src="https://agentmods.dev/badge/skills/opensquilla/opensquilla/meta-research-to-slide-deck/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/meta-research-to-slide-deck"><img src="https://agentmods.dev/badge/skills/opensquilla/opensquilla/meta-research-to-slide-deck.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 | $0.00060 | $0.00991 |
| Opus 5 | $0.00030 | $0.00495 |
| Sonnet 5 | $0.00012 | $0.00198 |
| Haiku 4.5 | $0.00006 | $0.00099 |
Grade A, and why
meta-research-to-slide-deck 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 7d 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
Research To Slide Deck
Builds source-backed presentation packages from a research question.
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.
- 7d ago First seen · 130 lines · 60 tokens per session scan A 7b619301a2be
meta-research-to-slide-deck is a skill published in the GitHub repository opensquilla/opensquilla (6,940 stars, last pushed 5d ago), licensed Apache-2.0. It adds 60 tokens to every session and 991 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 2026-09-03.
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