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.
npx skills add VKirill/claude-lane-stack --skill ru-textgit clone --depth 1 https://github.com/VKirill/claude-lane-stackWrote 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.
[](https://agentmods.dev/skills/vkirill/claude-lane-stack/ru-text)<a href="https://agentmods.dev/skills/vkirill/claude-lane-stack/ru-text"><img src="https://agentmods.dev/badge/skills/vkirill/claude-lane-stack/ru-text/github.svg" alt="Measured on agentmods" height="20"></a>Or the 80×15 button, for a site that already has a row of RSS and ATOM ones. Only the verdict fits; the numbers stay here.
<a href="https://agentmods.dev/skills/vkirill/claude-lane-stack/ru-text"><img src="https://agentmods.dev/badge/skills/vkirill/claude-lane-stack/ru-text.svg" alt="Reviewed on agentmods" width="80" height="20"></a>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.
| Model | Per session | Once invoked |
|---|---|---|
| Fable 5.1 | $0.00086 | $0.01147 |
| Opus 5.5 | $0.00034 | $0.00459 |
| Sonnet 5.5 | $0.00017 | $0.00229 |
| Haiku 4.5 | $0.00009 | $0.00115 |
Grade A, and why
ru-text 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 1mo ago.
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.
This is a copy
89% identical to ru-text — 15 lines differ, which has more behind it and is treated as the original. This page carries a canonical link to it rather than competing with it.
How it starts
The opening of the file, as written. The whole thing — 98 lines — stays where its author put it; the contents beside it link to each section on GitHub.
ru-text — Russian Text Quality
Call this skill whenever the work is Russian text quality: вычитка, типографика,
нейрослоп, редактура, UX-тексты, деловая переписка — or the human said ru-text.
Any agent. Not only copy-lead. ru-check = findings list. ru-score = 0–10.
Independent Russian text quality reference by Arseniy Kamyshev.
With gratitude to the authors whose work shaped modern Russian text standards.
Credits and recommended reading: references/sources.md
Style priority: if the user explicitly requests a specific style (casual, academic, SEO, literary, etc.), their prompt overrides these default rules where they conflict. These rules are defaults, not mandates.
Reviewing vs. rewriting: when checking or proofreading existing text or a file, return the corrected version plus a list of changes — do not silently overwrite the source file. Rewrite a file in place only when the user explicitly asks.
Someone else's words stay theirs: quoted material, code blocks and third-party text inside the user's document are reproduced as-is. Report an issue you see in them if it matters; never rewrite them.
Always-On: Typography
Apply to ALL Russian text output — silently: fix, don't announce.
| Rule | Wrong | Correct |
|---|---|---|
| Primary quotes: guillemets | "текст" | «текст» |
| Nested quotes: lapki | «"вложенные"» | «„вложенные“» |
| Em dash, NBSP before it | слово - слово | слово — слово |
| En dash for ranges, no spaces | 10-15 дней | 10–15 дней |
| NBSP after single-letter words | в начале (breakable) | в\u00A0начале |
| Ellipsis: single character | ... | … |
| Digit groups with thin spaces | 1000000 | 1 000 000 |
| Decimal comma (not dot) | 3.14 | 3,14 |
| Ordinal with hyphen | 1ый, 2ой | 1-й, 2-й |
| Numero sign | No. 5, #5 | № 5 |
| Abbreviations with NBSP | т.д., т.е. | т. д., т. е. |
| Ruble sign after number, NBSP | 1500₽ | 1 500 ₽ |
Full typography reference: references/typography.md
/ru-text:ru-score — text quality score (0–10, 5 dimensions).
What ships with it
13 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.
- agents/gemini.yaml 177 B
- agents/openai.yaml 220 B
- LICENSE 1.0 KB
- references/addenda.md 107 KB
- references/anti-patterns.md 12 KB
- references/business-writing.md 13 KB
- references/editorial-grammar.md 31 KB
- references/editorial-punctuation.md 8.2 KB
- references/info-style.md 35 KB
- references/scoring.md 14 KB
- references/sources.md 4.4 KB
- references/typography.md 24 KB
- references/ux-writing.md 30 KB
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.
- 1mo ago First seen · 98 lines · 86 tokens per session scan A 9a61a568e793
ru-text is a skill published in the GitHub repository VKirill/claude-lane-stack (122 stars, last pushed today), licensed MIT. It adds 86 tokens to every session and 1,147 once invoked, about $0.0003 per session on Opus 5.5. A static security scan graded it A with 0 findings. It is 89% identical to ru-text, differing in 15 lines, and is treated as a copy.
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