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 agentmods add skills/omnigentx/jarvis/design-systemnpx skills add omnigentx/jarvis --skill design-systemgit clone --depth 1 https://github.com/omnigentx/jarvisWrote 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/omnigentx/jarvis/design-system)<a href="https://agentmods.dev/skills/omnigentx/jarvis/design-system"><img src="https://agentmods.dev/badge/skills/omnigentx/jarvis/design-system.svg" alt="Measured on agentmods" 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 | $0.00028 | $0.00394 |
| Opus 5 | $0.00014 | $0.00197 |
| Sonnet 5 | $0.00006 | $0.00079 |
| Haiku 4.5 | $0.00003 | $0.00039 |
Grade A, and why
design-system 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 5d 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
JARVIS DESIGN SYSTEM
Colors
Primary: #6C63FF (Indigo/Purple)
Secondary: #2DD4BF (Teal)
Background: #1A1A2E (Dark Navy)
Surface: #16213E (Dark Blue)
Text: #EAEAEA (Light Gray)
Error: #FF6B6B (Coral Red)
Success: #4CAF50 (Green)
Warning: #FFB74D (Amber)
Typography
- Headers: Inter Bold
- Body: Inter Regular
- Code: JetBrains Mono
- Sizes: 12 / 14 / 16 / 20 / 24 / 32px
Spacing
- Base unit: 4px
- xs: 4px | sm: 8px | md: 16px | lg: 24px | xl: 32px | xxl: 48px
Component Patterns
- Cards: rounded corners (12px), subtle shadow, surface background
- Buttons: min-height 40px, 8px horizontal padding
- Input fields: 1px border, 8px padding, focus ring primary color
- Agent avatar: circular, 40px, colored based on agent type
Dark Mode (Default)
- Jarvis uses dark mode by default
- Text on dark surface: #EAEAEA
- Borders: rgba(255,255,255,0.1)
- Hover states: lighten background 5%
Responsive Breakpoints
- Mobile: < 768px
- Tablet: 768-1024px
- Desktop: > 1024px
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.
- 5d ago First seen · 48 lines · 28 tokens per session scan A 9e9f16c14019
design-system is a skill published in the GitHub repository omnigentx/jarvis (36 stars, last pushed 8d ago), licensed MIT. It adds 28 tokens to every session and 394 once invoked, about $0.0001 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
systematic-debugging
Use when encountering any bug, test failure, or unexpected behavior, before proposing fixes.
local-ai-agents
Build local-first AI agents that run entirely on a developer workstation with Microsoft Foundry Local and Qwen function-calling models. Covers Small Language Models (SLMs), the OpenAI-compatible local endpoint, sandboxed local tools, local RAG with Chroma, local MCP servers, hybrid cloud/local routing, and the…
chronicle
Analyze Copilot session history for standup reports, usage tips, session search, and session reindexing. Use when the user asks for a standup, daily summary, usage tips, workflow recommendations, wants to search or find past sessions by keyword/file/PR, wants to reindex their session store, or asks about deleting…
imagegen
Generate or edit raster images when the task benefits from AI-created bitmap visuals such as photos, illustrations, textures, sprites, mockups, or transparent-background cutouts. Use when Codex should create a brand-new image, transform an existing image, or derive visual variants from references, and the output…
chat-pet-sprite-creation
Use when creating or changing VS Code chat pet sprite art, sprite sheets, state animations, eye treatments, Stable/Insiders variants, or pet transitions under src/vs/workbench/contrib/chat/browser/widget/media/chatPet.
cpu-profile-analysis
Analyze V8/Chrome CPU profiles (.cpuprofile) and DevTools trace files (Trace-.json). Use when: profiling performance, investigating slow functions, comparing code paths, finding bottlenecks, analyzing timeToRequest, understanding call trees from sampling profiler data, analyzing layout/paint/rendering, investigating…