Agents misread Hebrew. A 40-year-old aerospace standard helps.

A developer ported the ASD-STE100 Simplified Technical English skill to Hebrew, releasing g4lb/asd-ste100-hebrew-skill as an MIT-licensed Claude Code skill for making Hebrew tool descriptions and error messages easier for AI agents to parse. The port adapts STE100 rules that define only English, adding Hebrew-specific guidance such as keeping את/משתמש as a noun and splitting hedged error messages into separate claims so uncertainty is preserved. A standard-library Python linter, scripts/ste-lint-he.py, performs a mechanical first pass on semicolons, sentence length, nominalization and marketing words, while construct chains, homographs and dropped את remain for the model and author to check.

In aerospace maintenance, a misread instruction can ground an aircraft, or cause worse damage. So the industry built ASD-STE100, Simplified Technical English. It is a controlled language with one meaning per word, active voice, short sentences, and one instruction per sentence. Today a new kind of reader parses technical text with no one to ask: the AI agent. A model reads tool descriptions, error messages, and instructions between agents. It cannot ask the author what the author meant. danyuchn/asd-ste100-skill https://github.com/danyuchn/asd-ste100-skill applies STE100 to English agent text as a Claude Code skill. I ported it to Hebrew. STE100 defines English only. No official Hebrew version exists, so every Hebrew rule here is an adaptation. Some English rules carry over directly. Others have no English equivalent: את . משתמש is both "user" and "uses". Keep it a noun and use a different verb: "המשתמש מפעיל את הכלי". לבצע with an action noun. Before: ייתכן שאירעה שגיאה במהלך עיבוד הבקשה שלך עקב אי-התאמה אפשרית בפורמט הנתונים הצפוי, אשר עשויה להיגרם כתוצאה מגרסת לקוח שאינה מעודכנת. After: ייתכן שאירעה שגיאה בעיבוד הבקשה. ייתכן שהסיבה היא אי-התאמה בפורמט הנתונים הצפוי. ייתכן שגרסת לקוח לא מעודכנת גרמה לאי-ההתאמה הזו. "אירעה שגיאה" "an error occurred" reads better. But it states an error that the system only suspects. A simplifier that removes uncertainty makes the text clearer and wrong. The skill splits the sentence into three claims and keeps every hedge. A Python linter scripts/ste-lint-he.py uses only the standard library. It does a mechanical first pass: semicolons, sentence length, nominalization, marketing words, prefix hyphens, slang, and synonym rotation. It cannot check construct chains, homographs, or a dropped את . The model and the author check those. npx skills add g4lb/asd-ste100-hebrew-skill Then ask Claude: פשט את תיאור הכלי הזה "simplify this tool description" . Repository MIT license : https://github.com/g4lb/asd-ste100-hebrew-skill https://github.com/g4lb/asd-ste100-hebrew-skill If you write Hebrew for agents, tell me which rules feel wrong.