hebrew-voice-bot-builder

hebrew-voice-bot-builder is a skill for Claude Code from skills-il/developer-tools. It costs 192 tokens per session (9,747 once invoked), scanned A, original, MIT.

A guide for building Hebrew voice bots and telephone menus, where speech is converted to text, responses become speech, and calls are connected through telephony services.

In plain words
What is it for?
Use it to build Hebrew IVR menus, conversational customer-service bots, voicemail transcription flows, or hybrid telephone systems.
Why use it?
It helps organize the separate parts of a voice system and account for Hebrew-specific issues such as accents and mixed Hebrew-English speech.

Skill for Claude Code

Written for Claude Code: allowed-tools in frontmatter. Also seen: mentions Claude Code.

Install

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.

agentmods
npx agentmods add skills/skills-il/developer-tools/hebrew-voice-bot-builder
Any agent
npx skills add skills-il/developer-tools --skill hebrew-voice-bot-builder
Clone the repo
git clone --depth 1 https://github.com/skills-il/developer-tools

Made for: Claude Code.

Wrote 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.

agentmods badge for hebrew-voice-bot-builder

README.md
[![agentmods](https://agentmods.dev/badge/skills/skills-il/developer-tools/hebrew-voice-bot-builder.svg)](https://agentmods.dev/skills/skills-il/developer-tools/hebrew-voice-bot-builder)
Your own site
<a href="https://agentmods.dev/skills/skills-il/developer-tools/hebrew-voice-bot-builder"><img src="https://agentmods.dev/badge/skills/skills-il/developer-tools/hebrew-voice-bot-builder.svg" alt="Measured on agentmods" height="20"></a>
Per session 192 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 9,747 The whole file, excluding the scripts and references it only reads on demand.
Security scan A 0 findings. Scan, not verified.
Origin original No closer match found in the catalogue.
Token cost

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.

ModelPer sessionOnce invoked
Fable 5.1 $0.00192 $0.09747
Opus 5 $0.00096 $0.04874
Sonnet 5 $0.00038 $0.01949
Haiku 4.5 $0.00019 $0.00975

Measured 6d ago against content hash 58af21d4b3b5, method: parsed. Prices are Anthropic first-party input rates as of 2026-09-06, from the pricing page.

Security

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 6d ago.

The scan reads SKILL.md. This mod also ships 1 executable file (scripts/hebrew-stt-demo.py), listed below but not scanned — reading those needs a real analyzer, not pattern matching.

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.

hebrew-voice-bot-builder/SKILL.md · 811 lines

How it starts

The opening of the file, as written. The whole thing — 811 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

Language code: Google STT uses iw-IL, Google TTS uses he-IL. Google's Speech-to-Text supported-languages table lists Hebrew as iw-IL (the legacy ISO code for Hebrew), while the Text-to-Speech voice list uses he-IL (he-IL-Wavenet-A, he-IL-Chirp3-HD-*). Pass the documented code for each side rather than assuming one code works for both.

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-transcribe or gpt-4o-mini-transcribe (lower latency than whisper-1 and available via the OpenAI Realtime API for streaming), whisper-large-v3-turbo for self-host, ivrit-ai's Hebrew-tuned variants (ivrit-ai/whisper-large-v3-turbo-ct2) for an open model trained specifically on Hebrew, Google Cloud STT (low latency; Hebrew runs on Chirp, iw-IL), Azure Speech (enterprise features), and ElevenLabs Scribe v2, which lists Hebrew (heb) in the "Good (>10% to <=20% WER)" band with a realtime variant at roughly 150ms. Note the WER band honestly: Hebrew is two tiers below English there, so benchmark on your own call audio rather than picking on the marketing claim. The legacy whisper-1 API is still supported but gpt-4o-transcribe is the current default for Hebrew.
  • TTS provider, split by use case:
    • Real-time / streaming (voice agents, IVR, live conversation): OpenAI Realtime API, native multilingual speech-to-speech including Hebrew over WebRTC/WebSocket/SIP, the 2026 default for sub-500ms turn-taking. The current GA model is gpt-realtime-2.1 (gpt-realtime-2.1-mini for the smaller tier). Two model names to avoid: gpt-realtime was deprecated on 2026-07-20 with a hard shutdown on 2027-01-20 (replacement gpt-realtime-2.1), and gpt-4o-realtime-preview was removed from the API on 2026-05-07. gpt-realtime-1.5 is still live. Other realtime options: ElevenLabs eleven_v3_conversational (~280ms, and Hebrew IS in the v3 language list, so this is now a real realtime-Hebrew route), Inworld Realtime TTS-2 and TTS-2 Flash (Inworld advertises "200+ languages" but does NOT enumerate Hebrew in its docs, so treat Hebrew as untested there and verify with your own audio; the older TTS-1 / TTS-1.5 names no longer appear), and Deepdub Phantom X 3.2 from the Israeli vendor Deepdub. Do NOT reach for ElevenLabs eleven_flash_v2_5 for Hebrew: its language list is Multilingual v2's 29 languages plus Hungarian, Norwegian and Vietnamese, so Hebrew is absent entirely rather than merely weak.
    • 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 does NOT support Hebrew (no he-IL locale, no Hebrew voice of any engine, the "Avri" voice belongs to Azure, not Polly), so do not route Hebrew through Polly. ElevenLabs Multilingual v2 does NOT list Hebrew: its documented 29 languages are en, ja, zh, de, hi, fr, ko, pt, it, es, id, nl, tr, fil, pl, sv, bg, ro, ar, cs, el, fi, hr, ms, sk, da, ta, uk and ru. Hebrew appears only in the Eleven v3 language list, so route Hebrew to v3 (or to Azure/Google above) and not to Multilingual v2.
  • Telephony: Twilio and Vonage both sell Israeli numbers. Twilio publishes Israeli voice pricing (local, mobile and toll-free tiers); Vonage does not publish comparable Israeli number documentation, so compare quotes yourself rather than trusting a ranking. Number portability exists in the Israeli market, but confirm with the carrier that your specific number can be ported to your chosen provider before committing.
  • Hosting: Cloud functions for low-volume, dedicated servers for high-volume.
  • Call recording and voiceprints: play a recording announcement (השיחה מוקלטת) at the start of the call. It is standard practice for Israeli call flows, and this skill does not assert it as a cited statutory duty (an earlier version did, and the source did not hold up). Treat a voiceprint as a different artifact from the recording: store it in its own table, keyed for per-caller deletion, so it can be erased independently of the audio and of the transcript. Have the operator confirm which obligations apply to their business with a qualified professional before launch.

Read the full file on GitHub · 811 lines

Files

What ships with it

7 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.

Changes

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.

  1. 6d ago First seen · 811 lines · 192 tokens per session scan A 58af21d4b3b5

Subscribe to this mod's changes

hebrew-voice-bot-builder is a skill published in the GitHub repository skills-il/developer-tools (10 stars, last pushed 4d ago), licensed MIT. It adds 192 tokens to every session and 9,747 once invoked, about $0.0010 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 2026-08-31.

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