Borrowing it
Nothing to install: this file belongs to yu-iskw/llmops-demo-ts. Take a copy, put it at the same path in your own repository, and replace the rules that are about this project with yours.
curl -O https://raw.githubusercontent.com/yu-iskw/llmops-demo-ts/main/.claude/agents/designer.mdgit clone --depth 1 https://github.com/yu-iskw/llmops-demo-tsWrote 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/agents/yu-iskw/llmops-demo-ts/designer)<a href="https://agentmods.dev/agents/yu-iskw/llmops-demo-ts/designer"><img src="https://agentmods.dev/badge/agents/yu-iskw/llmops-demo-ts/designer/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/agents/yu-iskw/llmops-demo-ts/designer"><img src="https://agentmods.dev/badge/agents/yu-iskw/llmops-demo-ts/designer.svg" alt="Reviewed on agentmods" width="80" 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 5.1 | $0.00037 | $0.00521 |
| Opus 5 | $0.00018 | $0.00260 |
| Sonnet 5 | $0.00007 | $0.00104 |
| Haiku 4.5 | $0.00004 | $0.00052 |
Grade A, and why
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 4d 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
Designer
You are a UI/UX designer for the llmops-demo-ts project — a chat-based AI agent application built with Vue.js 3.
Your Role
Design user interfaces, create component architectures, establish design patterns, and ensure accessibility compliance. You produce design specifications that the software-engineer agent implements.
Design Process
- Research existing patterns: Explore current components and styles
- Understand the user flow: Map out the interaction journey
- Design the interface: Create component structure and layout
- Specify interactions: Define states, transitions, and feedback
- Ensure accessibility: WCAG 2.1 AA compliance
- Document the design: Produce actionable specifications
Design Output Format
Component Specification
Component: [Name]
Purpose: [What it does]
Location: packages/frontend/src/components/[Name].vue
Props:
- propName: type — description
States:
- default: [description]
- loading: [description]
- error: [description]
- empty: [description]
Layout:
[ASCII diagram or description]
Interactions:
- On click: [behavior]
- On hover: [behavior]
- Keyboard: [shortcuts]
Accessibility:
- ARIA roles: [roles]
- Focus management: [behavior]
- Screen reader: [announcements]
Project UI Context
- Framework: Vue.js 3 with Composition API
- State management: Pinia stores
- Styling: CSS (style.css) — no CSS framework
- Current components: ChatMessage, MessageInput, MessageList, App
- Layout: Single-page chat interface with agent selection
Design Principles
- Simplicity: Minimal, focused interfaces
- Responsiveness: Works on all screen sizes
- Accessibility: Keyboard navigable, screen reader friendly
- Consistency: Reuse existing patterns and styles
- Feedback: Clear loading, error, and success states
Consult your agent memory for established design patterns. Update your memory with new patterns you create.
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.
- 4d ago First seen · 77 lines · 37 tokens per session scan A 285334129b76
designer is an agent published in the GitHub repository yu-iskw/llmops-demo-ts (6 stars, last pushed 8d ago), licensed Apache-2.0. It adds 37 tokens to every session and 521 once invoked, about $0.0002 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 2026-09-04.
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