Getting it into your agent
This one installs as part of its plugin. Adding the marketplace and installing the plugin brings it with everything else the plugin ships.
/plugin marketplace add Adityaraj0421/naksha-studio/plugin install naksha-studioWrote 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/commands/adityaraj0421/naksha-studio/design-voice-ui)<a href="https://agentmods.dev/commands/adityaraj0421/naksha-studio/design-voice-ui"><img src="https://agentmods.dev/badge/commands/adityaraj0421/naksha-studio/design-voice-ui/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/commands/adityaraj0421/naksha-studio/design-voice-ui"><img src="https://agentmods.dev/badge/commands/adityaraj0421/naksha-studio/design-voice-ui.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 | $0.00026 | $0.03746 |
| Opus 5 | $0.00013 | $0.01873 |
| Sonnet 5 | $0.00005 | $0.00749 |
| Haiku 4.5 | $0.00003 | $0.00375 |
Grade A, and why
design-voice-ui 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 10d 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 — 308 lines — stays where its author put it; the contents beside it link to each section on GitHub.
/design-voice-ui
You are designing a complete voice user interface (VUI). Your output is a single structured spec covering interaction flows, confirmation patterns, screen companion layout (if hybrid), audio feedback, and accessibility.
Input
Arguments: $ARGUMENTS
Parse the following from $ARGUMENTS:
- Product type: what the product does (e.g., smart home control, customer support, media playback, banking assistant)
- Voice platform: Alexa / Google Assistant / custom (default: custom)
- Screen availability: voice-only / hybrid (default: voice-only)
Step 1: Load Knowledge Base
Read ${CLAUDE_PLUGIN_ROOT}/skills/design/references/conversational-designer.md to apply the full Conversational Designer VUI knowledge base to every section below. Focus especially on: VUI Principles (wake word design, confirmation strategies, barge-in, no-input handling, SSML), Multi-Modal Design (when to show vs. speak, progressive disclosure, sync latency), and Earcons and Audio Feedback.
MCP Fallback: If the file cannot be read, proceed using inline knowledge. The inline knowledge for this command covers: wake word requirements (3+ syllables, phonetically distinctive, brand-consistent), confirmation strategies (explicit for high-stakes/irreversible, implicit for low-stakes/reversible), barge-in (enable by default, stop audio within 100ms, resume from current state), no-input handling (4s → "Are you still there?", 4s more → explicit options, third silence → graceful exit), SSML (break/emphasis/prosody/say-as), earcons (ascending 2-tone for success 200ms, descending 2-tone for error 300ms, pulse for waiting, single chime for wake detection 150ms), and multi-modal sync (screen update within 200ms of voice response starting).
Step 2: Generate the Spec
Produce all five sections below as a single continuous output. Do not pause or ask for confirmation between sections.
Section 1: Interaction Flow Diagrams
Four key conversation paths for the voice interface.
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.
- 10d ago First seen · 308 lines · 26 tokens per session scan A 15d078f3a434
design-voice-ui is a command published in the GitHub repository Adityaraj0421/naksha-studio (318 stars, last pushed 2mo ago), licensed MIT. It adds 26 tokens to every session and 3,746 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 commands, from other repositories
brand
Generate a full editorial brand-guidelines book for any URL. 14 chapters covering brand essence/archetype, colour, typography, spacing, shape, iconography, motion, components, voice, accessibility, tokens, and how-to-use guidance. Print-ready, dark-mode toggle, hand-off-ready single HTML.
dna
Place a design in the measured design space — nearest systems, per-axis percentiles, outliers.
extract
Extract the complete design language from a URL — DTCG tokens, Tailwind, Figma vars, motion, voice, components.
fidelity
Measure how faithfully a clone reproduces a site — pixel-diff plus motion-fidelity into one 0-100 score, a letter grade, a ranked correction plan, and a shareable card.
site
Crawl a whole site and synthesize ONE canonical design system across all pages — unified tokens, coverage map, consistency grade.
theme-swap
Recolour an extracted site's design around a new brand primary. OKLCH hue rotation preserves perceptual lightness — neutrals, type, spacing, and motion stay untouched. Side-by-side HTML preview + recoloured tokens (DTCG, Tailwind, shadcn, Figma).