Orkas is a desktop application for commanding a team of AI agents through one chat, with a commander model assigning work to specialist agents in parallel or in sequence. People use it to coordinate research, writing, presentations, and software tasks while keeping files on their computer. The catalogue includes skills for extending the agents available to Orkas.
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 Orkas-AI/Orkas --skill design-system-importergit clone --depth 1 https://github.com/Orkas-AI/OrkasWrote 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/orkas-ai/orkas/design-system-importer)<a href="https://agentmods.dev/skills/orkas-ai/orkas/design-system-importer"><img src="https://agentmods.dev/badge/skills/orkas-ai/orkas/design-system-importer/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/orkas-ai/orkas/design-system-importer"><img src="https://agentmods.dev/badge/skills/orkas-ai/orkas/design-system-importer.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 | $0.00004 | $0.01718 |
| Opus 5 | $0.00002 | $0.00859 |
| Sonnet 5 | $0.00001 | $0.00344 |
| Haiku 4.5 | $0.00000 | $0.00172 |
Grade A, and why
design-system-importer 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 — 123 lines — stays where its author put it; the contents beside it link to each section on GitHub.
design-system-importer
Use this when COMPOSE or an AUTO compose segment has any external reference media or style source: a reference image, reference video, DESIGN.md, brand guide, screenshot, existing website, design notes, or an explicit named visual direction.
Do not use it for ordinary editing, TTS, shot generation, or clip selection. Do not introduce a new user Gate. The output is an internal style extraction that feeds project/composition/composition-manifest.json::art_direction and the model-authored project/composition/index.html.
Do not use it for vague adjectives like "modern", "clean", "premium", "dynamic", or "more polished" when no source is named. In those cases, let frontend-design choose the aesthetic thesis directly from the video brief.
Reference Intent Before Input Technique
For every supplied image or video, first classify what the user wants from it. Explicit user requirements always override defaults; infer only when the user is silent:
reproduce: preserve the declared content, identity, composition, structure, style, motion, timing, or audio axes.edit: use the media as the original, protect all declared unaffected axes, and change onlymay_change.guide: borrow only the declared roles and do not imply exact fidelity. This is the safe default for an otherwise unspecified reference.
Record intent_basis:"user" for an explicit requirement and intent_basis:"inferred" for a fallback. A request to change the supplied original implies edit; an explicit restore/recreate/match request implies reproduce; otherwise default to guide. Mixed instructions keep their operational intent while the user's exact protected and changeable axes remain authoritative. This classification is independent of origin. A screenshot, exported frame, camera photo, generated image, HTML capture, design-tool export, uploaded MP4, or generated video receives the same contract when the requested intent and roles are the same.
Copy every exact inspected media file into project/composition/assets/references/ before authoring and record that composition-local path. Do not rely on a chat thumbnail, stale temporary path, or prose description after the source has been supplied.
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 · 123 lines · 4 tokens per session scan A 1a48c507b775
design-system-importer is a skill published in the GitHub repository Orkas-AI/Orkas (1,885 stars, last pushed yesterday), licensed MIT. It adds 4 tokens to every session and 1,718 once invoked, about $0.0000 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.
Other skills, from other repositories
tutti-ui-system
Use when working with @tutti-os/ui-system components, replacing local UI with shared components, querying component ids or metadata, promoting UI into shared base or business components, or maintaining UI-system storyboard inventory.
cross-border-listing-image-layout-audit
Audit listing image and layout notes — first-impression hero, info hierarchy, lifestyle vs studio, copy density, trust signals, compliance — into a follow-up checklist.
design-plan-review
Reviews a UI or UX plan before implementation.
excalidraw-diagram-generator
Converts textual concepts or workflows into clear diagram instructions suitable for Excalidraw or other visual tools.
infographic-builder
Turns textual content into structured infographic formats suitable for reports, presentations, and educational materials.
ui-ux-layout-advisor
Advises on interface layouts to optimize clarity, spacing, hierarchy, and usability.