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 daffy0208/ai-dev-standards --skill voice-interface-buildergit clone --depth 1 https://github.com/daffy0208/ai-dev-standardsWrote 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/daffy0208/ai-dev-standards/voice-interface-builder)<a href="https://agentmods.dev/skills/daffy0208/ai-dev-standards/voice-interface-builder"><img src="https://agentmods.dev/badge/skills/daffy0208/ai-dev-standards/voice-interface-builder/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/daffy0208/ai-dev-standards/voice-interface-builder"><img src="https://agentmods.dev/badge/skills/daffy0208/ai-dev-standards/voice-interface-builder.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 | $0.00019 | $0.03430 |
| Opus 5 | $0.00010 | $0.01715 |
| Sonnet 5 | $0.00004 | $0.00686 |
| Haiku 4.5 | $0.00002 | $0.00343 |
Grade A, and why
voice-interface-builder 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 8d 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 — 615 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Voice Interface Builder Skill
I help you build voice-enabled interfaces using the Web Speech API and modern voice technologies.
What I Do
Speech Recognition:
- Voice commands and controls
- Voice-to-text input
- Continuous dictation
- Command detection
Text-to-Speech:
- Reading content aloud
- Voice feedback and notifications
- Multilingual speech output
- Voice selection and customization
Voice UI:
- Voice-first interfaces
- Accessibility features
- Hands-free controls
- Voice search
Web Speech API Basics
Speech Recognition
// hooks/useSpeechRecognition.ts
'use client'
import { useState, useEffect, useRef } from 'react'
interface SpeechRecognitionOptions {
continuous?: boolean
language?: string
onResult?: (transcript: string) => void
onError?: (error: string) => void
}
export function useSpeechRecognition({
continuous = false,
language = 'en-US',
onResult,
onError
}: SpeechRecognitionOptions = {}) {
const [isListening, setIsListening] = useState(false)
const [transcript, setTranscript] = useState('')
const recognitionRef = useRef<SpeechRecognition | null>(null)
useEffect(() => {
if (typeof window === 'undefined') return
const SpeechRecognition = window.SpeechRecognition || window.webkitSpeechRecognition
if (!SpeechRecognition) {
console.warn('Speech recognition not supported')
return
}
const recognition = new SpeechRecognition()
recognition.continuous = continuous
recognition.lang = language
recognition.interimResults = true
recognition.onresult = event => {
const transcript = Array.from(event.results)
.map(result => result[0].transcript)
.join('')
setTranscript(transcript)
onResult?.(transcript)
}
recognition.onerror = event => {
console.error('Speech recognition error:', event.error)
onError?.(event.error)
setIsListening(false)
}
recognition.onend = () => {
setIsListening(false)
}
recognitionRef.current = recognition
return () => {
recognition.stop()
}
}, [continuous, language, onResult, onError])
const start = () => {
if (recognitionRef.current && !isListening) {
recognitionRef.current.start()
setIsListening(true)
}
}
const stop = () => {
if (recognitionRef.current && isListening) {
recognitionRef.current.stop()
setIsListening(false)
}
}
return { isListening, transcript, start, stop }
}
What ships with it
2 files beside SKILL.md in the same directory: the scripts, references and assets a skill reads on demand. Not counted in the per-session cost; read them before you install if any of them is executable.
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.
- 8d ago First seen · 615 lines · 19 tokens per session scan A f079471d5d85
voice-interface-builder is a skill published in the GitHub repository daffy0208/ai-dev-standards (36 stars, last pushed 8mo ago), licensed MIT. It adds 19 tokens to every session and 3,430 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 2026-09-03.
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