Update to ru-text

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    "description": "Russian text quality for AI agents — neuroslop cleanup, typography, information style, editorial standards, UX writing, business correspondence. Scores text 0–10. 2,000+ linguistic atoms.",
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      "developer_name": "Arseniy Kamyshev",
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      "long_description": "ru-text proofreads Russian text for AI agents. It sets Russian typography (guillemets, em dashes, non-breaking spaces, digit grouping), removes bureaucratic register and seventeen tells of machine-written Russian (neuroslop), and covers UX copy and business correspondence. Every edit comes with a quote and the rule behind it.\n\nThree skills: ru-text applies the always-on typography table and loads the reference files on demand; ru-check runs a full check against the whole corpus and returns the corrected text with a list of changes; ru-score rates a text 0–10 on five scales, with a quote and a rule for each remark.\n\nFor anyone who writes in Russian with an AI agent: developers, editors, product and marketing teams.\n\nLimitations: Russian only. The corpus holds 2,000+ linguistic atoms in ten reference files. Its rules are defaults: an explicit style request (colloquial, academic, legal, SEO, literary) overrides them. ru-text does not rewrite a file unless asked, keeps quotations and code as they are, and does not check factual accuracy. It makes no network calls and collects no data.",
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