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 (9,866 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.

Good fit Use it to build Hebrew IVR menus, conversational customer-service bots, voicemail transcription flows, or hybrid telephone systems.

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Install with agentmods
npx agentmods add skills/skills-il/developer-tools/hebrew-voice-bot-builder
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.

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.

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README.md
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Your own site
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Your own site · 80×15
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Per session 192 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 9,866 The whole file, excluding the scripts and references it only reads on demand.
Security scan A 0 findings. A grade says what 26 rules found in the file — not that it is safe. Third-party audits
  • NVIDIA SkillSpector warn 7 Sept 2026
SkillSpector: 1 finding, up to medium

These are SkillSpector’s own severities. On a checked sample its high-severity flags on skills were ~96% false positives — a documented command, a public API, a “never do X” rule — so we show them as a caution to read, not a verdict. Why →

  • medium Memory Poisoning · line 30
    Skill attempts to fill the context window with filler content, displacing legitimate instructions and safety constraints. This can degrade agent performance or bypass safety boundaries.
    Fix: Implement context-window management that detects and rejects padding or stuffing attempts. Prioritize system instructions over user-injected content.
How audits are shown
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 $0.09866
Opus 5.5 $0.00077 $0.03946
Sonnet 5.5 $0.00038 $0.01973
Haiku 4.5 $0.00019 $0.00987

Measured 16d ago against content hash 8f472d478376, method: parsed. Prices are Anthropic first-party input rates as of 2026-10-07, 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 16d ago.

The scan reads SKILL.md. This mod also ships 2 executable files (scripts/hebrew-stt-demo.py, scripts/test_hebrew_tts_normalization.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 · 705 lines

How it starts

The opening of the file, as written. The whole thing — 705 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-transcribe for recorded audio and gpt-live-transcribe for streaming (Realtime transcription sessions only, not the file endpoint). On 2026-08-26 OpenAI deprecated whisper-1, gpt-4o-transcribe, gpt-4o-mini-transcribe and gpt-4o-transcribe-diarize, all shutting down on 2027-02-26, so do not start new work on them. 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.
  • 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_v4_turbo (~100ms, Hebrew is in the v4 language list; ElevenLabs now labels eleven_v3_conversational previous generation), Inworld inworld-tts-2 and inworld-tts-2-flash (Hebrew he is listed as a Tier 1 language; the 1.5 models are deprecated), and the Israeli vendor Deepdub (API model id dd-etts-3.0, Hebrew he-IL in its API language table). 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_v4 (Hebrew is in its 90+ language list; eleven_v3 is now previous generation). v3 and v4 are NOT on the Text to Speech stream-input WebSocket; v4 is served through the Text to Dialogue API, and their WebSocket route is the Text to Dialogue WebSocket (wss://api.elevenlabs.io/v1/text-to-dialogue/stream-input). Deepdub 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 in the Eleven v3 and v4 language lists, so route Hebrew to v4 or 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, not a cited statutory duty. The Wiretap Law (חוק האזנת סתר) defines "האזנת סתר" as "האזנה ללא הסכמה של אף אחד מבעלי השיחה". 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 · 705 lines

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. 16d ago Changed · -106 lines 8f472d478376
  2. 1mo 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 (13 stars, last pushed 3d ago), licensed MIT. It adds 192 tokens to every session and 9,866 once invoked, about $0.0008 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 2026-08-31.

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