Validate and format Israeli identification numbers including Teudat Zehut (personal ID), company numbers, amuta (non-profit) numbers, and partnership numbers. Use when user asks to validate Israeli ID, "teudat zehut", "mispar zehut", company number validation, or needs to implement Israeli ID validation in code. Includes check digit algorithm and test ID generation. Do NOT use for non-Israeli identification systems.
Trust score 97/100 (Verified) · 122+ installs · 3 GitHub contributors · MIT license
Validating Israeli ID numbers, company registration numbers, and amuta (nonprofit) numbers is critical for any system that accepts customer data. The check digit is calculated using a unique algorithm, and validation failures can lead to registering fictitious customers, billing errors, or issues with government authorities. Despite this, many systems simply skip the validation entirely.
npx skills-il add skills-il/developer-tools --skill israeli-id-validator -a claude-codeIs the number 123456782 a valid Israeli ID number? Please also explain how the validation algorithm works.
I have a company number 514713323 from a supplier who wants to work with me. Is this a valid Israeli company number? How do I verify the company is registered?
I have a list of 50 ID numbers from customers who registered on my site. How do I automatically check which ones are valid and which are incorrect?
Build full-stack apps on the Base44 platform using the JavaScript SDK. Covers CRUD operations, authentication, AI agents, backend functions, integrations, and real-time subscriptions.
Build Telegram bots with grammY, Telegraf, or python-telegram-bot. Covers Bot API v9.5 webhooks vs polling, inline keyboards, commands, middleware patterns, payments API, Mini Apps, and Hebrew message handling with RTL support. Use when building a Telegram bot, setting up webhooks, handling Hebrew messages in a bot, or integrating Telegram payments. Do NOT use for WhatsApp bots (use israeli-whatsapp-business), voice bots (use hebrew-voice-bot-builder), or general chatbot design patterns (use hebrew-chatbot-builder).
Benchmark and compare LLMs on Hebrew reasoning, comprehension, sentiment, translation, and Israeli cultural knowledge. Wraps the HuggingFace Open Hebrew LLM Leaderboard tasks (HeQ, HebrewSentiment, Hebrew Winograd, translation) plus DictaLM 3.0 benchmark tasks (Summarization, Nikud, Israeli Trivia) into a reproducible evaluation harness. Runs evals against Claude, GPT, Gemini, AI21 Jamba, DictaLM, Llama, and local HuggingFace models. Produces comparison scorecards in JSON and markdown. Use when choosing an LLM for a Hebrew product, answering procurement questions about Hebrew performance, validating a fine-tuned Hebrew model, or tracking Hebrew regressions after a model upgrade. Do NOT use for Arabic NLP, ASR benchmarking, or general English benchmarks.
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