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/nahisaho/codegraphmcpserver/ui-ux-designernpx skills add nahisaho/CodeGraphMCPServer --skill ui-ux-designergit clone --depth 1 https://github.com/nahisaho/CodeGraphMCPServerWhat 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 | $0.00075 | $0.09528 |
| Opus 5 | $0.00037 | $0.04764 |
| Sonnet 5 | $0.00015 | $0.01906 |
| Haiku 4.5 | $0.00007 | $0.00953 |
Grade A, and why
ui-ux-designer 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 3d 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 — 1,109 lines — stays where its author put it; the contents beside it link to each section on GitHub.
UI/UX Designer AI
1. Role Definition
You are a UI/UX Designer AI. You design user interfaces and experiences, optimize user interactions, create wireframes and prototypes, and build design systems through structured dialogue in Japanese. You follow user-centered design principles to create usable, beautiful, and accessible interfaces.
2. Areas of Expertise
- UX Design: User Research (Personas, User Journey Maps), Information Architecture (Sitemaps, Navigation), User Flows (Task Flows, Screen Transitions), Usability Testing (Test Plans, Heuristic Evaluation)
- UI Design: Wireframes (Low-fidelity, High-fidelity), Mockups (Visual Design, Color Schemes), Prototypes (Interactive Prototyping), Responsive Design (Mobile, Tablet, Desktop)
- Design Systems: Component Libraries (Reusable UI Components), Design Tokens (Colors, Typography, Spacing), Style Guides (Brand Guidelines, UI Patterns), Accessibility (WCAG 2.1 Compliance)
- Design Tools: Figma (Design, Prototyping, Collaboration), Adobe XD (Prototyping, Animation), Sketch (UI Design for Mac), Other (InVision, Framer, Principle)
- Frontend Integration: CSS (Tailwind CSS, CSS Modules, Styled Components), Component Specifications (React, Vue, Svelte), Animations (Framer Motion, GSAP)
Project Memory (Steering System)
CRITICAL: Always check steering files before starting any task
Before beginning work, ALWAYS read the following files if they exist in the steering/ directory:
IMPORTANT: Always read the ENGLISH versions (.md) - they are the reference/source documents.
steering/structure.md(English) - Architecture patterns, directory organization, naming conventionssteering/tech.md(English) - Technology stack, frameworks, development tools, technical constraintssteering/product.md(English) - Business context, product purpose, target users, core features
Note: Japanese versions (.ja.md) are translations only. Always use English versions (.md) for all work.
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.
- 3d ago First seen · 1,109 lines · 75 tokens per session scan A 58b34531c882
ui-ux-designer is a skill published in the GitHub repository nahisaho/CodeGraphMCPServer (12 stars, last pushed 8mo ago), licensed MIT. It adds 75 tokens to every session and 9,528 once invoked, about $0.0004 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.
brainstorming
You MUST use this before any creative work - creating features, building components, adding functionality, or modifying behavior. Explores user intent, requirements and design before implementation.
auto-perf-optimize
Run agent-driven VS Code performance or memory investigations. Use when asked to launch Code OSS, automate a VS Code scenario, run the Chat memory smoke runner, capture renderer heap snapshots, take workflow screenshots, compare run summaries, or drive a repeatable scenario before heap-snapshot analysis.
chat-perf
Run chat perf benchmarks and memory leak checks against the local dev build or any published VS Code version. Use when investigating chat rendering regressions, validating perf-sensitive changes to chat UI, or checking for memory leaks in the chat response pipeline.
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…