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 squadcodercom/squadcoder --skill hebrew-voice-bot-buildergit clone --depth 1 https://github.com/squadcodercom/squadcoderWrote 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/squadcodercom/squadcoder/hebrew-voice-bot-builder)<a href="https://agentmods.dev/skills/squadcodercom/squadcoder/hebrew-voice-bot-builder"><img src="https://agentmods.dev/badge/skills/squadcodercom/squadcoder/hebrew-voice-bot-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/squadcodercom/squadcoder/hebrew-voice-bot-builder"><img src="https://agentmods.dev/badge/skills/squadcodercom/squadcoder/hebrew-voice-bot-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 | $0.00256 | $0.08130 |
| Opus 5.5 | $0.00102 | $0.03252 |
| Sonnet 5.5 | $0.00051 | $0.01626 |
| Haiku 4.5 | $0.00026 | $0.00813 |
Grade A, and why
hebrew-voice-bot-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 1mo 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 — 799 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Hebrew Voice Bot Builder
Build production-ready Hebrew voice bots and IVR systems for Israeli businesses. This skill covers the full voice pipeline: speech-to-text (STT), text-to-speech (TTS), IVR flow design, telephony integration, and Hebrew-specific challenges like accent handling and mixed Hebrew-English speech.
Instructions
Step 1: Choose Your Architecture
Before building, decide on the voice bot architecture based on the use case:
| Architecture | Best For | Components |
|---|---|---|
| IVR (keypad) | Simple menu navigation, payment lines, appointment scheduling | TTS + DTMF + telephony |
| Voice bot (conversational) | Customer service, order status, FAQ handling | STT + LLM + TTS + telephony |
| Voicemail transcription | Missed call handling, message routing | STT + notification pipeline |
| Hybrid | Complex flows with both speech and keypad input | STT + TTS + DTMF + telephony |
Key decisions:
- STT provider: OpenAI
gpt-4o-transcribeorgpt-4o-mini-transcribe(best Hebrew WER and lower latency thanwhisper-1, available via the OpenAI Realtime API for streaming),whisper-large-v3-turbofor self-host, ivrit-ai's Hebrew-tuned variants (ivrit-ai/whisper-large-v3-turbo-ct2) for the best open Hebrew WER, Google Cloud STT (low latency), Azure Speech (enterprise features). The legacywhisper-1API is still supported butgpt-4o-transcribeis the current default for Hebrew. - TTS provider — split by use case:
- Real-time / streaming (voice agents, IVR, live conversation): OpenAI Realtime API (
gpt-4o-realtime) — native multilingual speech-to-speech including Hebrew, the 2026 default for sub-500ms turn-taking. Inworld TTS-1.5 / Realtime TTS-2 — explicitly lists Hebrew, sub-130ms P90 latency, designed for live conversation. Deepdub Phantom X 3.2 — Israeli company, real-time Hebrew with emotive eTTS, launched March 2026. ElevenLabseleven_flash_v2_5— WebSocket-capable but Hebrew quality is weak, use only when latency dominates over quality. - Offline / max quality (audiobooks, voicemail playback, batch generation): ElevenLabs
eleven_v3— best Hebrew quality ElevenLabs offers, supports Hebrew (heb) among 70+ languages but NO WebSocket / streaming API, REST only. Deepdub Phantom X 3.2 also serves this track with emotional control. - Fallbacks: Azure Neural TTS (
he-IL-HilaNeural,he-IL-AvriNeural), Google Cloud TTS Wavenet (he-IL-Wavenet-A/B), Amazon Polly Hebrew (Avri only, no neural Hebrew voice as of Apr 2026, verify before relying on it). ElevenLabs Multilingual v2 lists Hebrew in its 29-language table but real-world Hebrew quality is mediocre; Turbo v2.5 was not designed with Hebrew in mind.
- Real-time / streaming (voice agents, IVR, live conversation): OpenAI Realtime API (
- Telephony: Twilio (largest Israeli number inventory), Vonage (competitive pricing for Israel).
- Hosting: Cloud functions for low-volume, dedicated servers for high-volume.
- Recording-consent disclosure: Israeli outbound automated calls must disclose recording at the start of the call (
השיחה מוקלטת). Privacy Protection Law Amendment 13 (in force Aug 2025) tightens consent requirements for biometric voice data.
What ships with it
6 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.
- 1mo ago First seen · 799 lines · 256 tokens per session scan A 9718afe4b136
hebrew-voice-bot-builder is a skill published in the GitHub repository squadcodercom/squadcoder (12 stars, last pushed 3mo ago), licensed MIT. It adds 256 tokens to every session and 8,130 once invoked, about $0.0010 per session on Opus 5.5. 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.
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