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 ui-design-reviewgit 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/ui-design-review)<a href="https://agentmods.dev/skills/orkas-ai/orkas/ui-design-review"><img src="https://agentmods.dev/badge/skills/orkas-ai/orkas/ui-design-review/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/ui-design-review"><img src="https://agentmods.dev/badge/skills/orkas-ai/orkas/ui-design-review.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 | $0.00003 | $0.00975 |
| Opus 5 | $0.00002 | $0.00487 |
| Sonnet 5 | $0.00001 | $0.00195 |
| Haiku 4.5 | $0.00000 | $0.00097 |
Grade A, and why
ui-design-review 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 — 136 lines — stays where its author put it; the contents beside it link to each section on GitHub.
ui-design-review
Use this skill when the task is to review, critique, QA, or polish an existing UI, screenshot, HTML artifact, or implemented screen.
Pair this skill with ui-craft-checks for launch-readiness, HTML QA, screenshot/design-source fidelity, accessibility, state coverage, forms, motion, typography, responsive behavior, live-ready artifacts, and anti-template polish.
For polish requests, use ui-artifact-workspace when the target is a standalone artifact. Do not restart the design from scratch. Inspect the canonical directory, manifest, current render, and source files; preserve the user's content and contract, then make the smallest set of high-impact fixes that improves hierarchy, responsiveness, accessibility, and visual craft in place.
Review Stance
Findings first. Prioritize user-impacting issues over taste commentary:
- Blocking workflow or comprehension issue.
- Accessibility or responsive failure.
- Layout, overlap, or text-fit risk.
- Incorrect control or missing state.
- Weak hierarchy, density, typography, or visual system.
- Color, contrast, and semantic status risk.
- Lower-priority polish.
Do not lead with a compliment. A short summary can come after findings.
Follow-Up Modes
Choose the mode that matches the user's wording:
- Audit: identify the highest-impact issues.
- Critique: explain what feels generic, overdesigned, underdesigned, or inconsistent.
- Polish: edit or specify targeted improvements while preserving intent.
- Harden: repair mobile overflow, clipped text, contrast problems, missing states, broken links, and fragile layout assumptions.
- Motion: add restrained motion only where it improves feedback, state change, or comprehension.
- Live-ready: prepare the artifact for sharing with final visual QA and a short risk list.
Remove common AI-generated tells when they do not serve the product: purple-blue glow gradients, generic feature-card rows, oversized rounded panels everywhere, empty marketing adjectives, inconsistent spacing, decorative effects without job value, and missing real interaction states.
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 · 136 lines · 3 tokens per session scan A 5834eb235404
ui-design-review is a skill published in the GitHub repository Orkas-AI/Orkas (1,885 stars, last pushed yesterday), licensed MIT. It adds 3 tokens to every session and 975 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.
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Reviews a UI or UX plan before implementation.
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ui-ux-layout-advisor
Advises on interface layouts to optimize clarity, spacing, hierarchy, and usability.