关于
The ru-score skill evaluates Russian text quality by scoring it from 0.0 to 10.0 across five specific dimensions. It automatically reads from a bundled reference corpus within the ru-text skill directory but cannot write or modify files. Developers should use it for automated quality assessment of Russian text outputs within Claude Code, as it runs in a forked context without model invocation.
快速安装
Claude Code
推荐npx skills add talkstream/ru-text -a claude-code/plugin add https://github.com/talkstream/ru-textgit clone https://github.com/talkstream/ru-text.git ~/.claude/skills/ru-score在 Claude Code 中复制并粘贴此命令以安装该技能
技能文档
Russian Text Quality Score
Score the text provided in $ARGUMENTS (or the most recent Russian text output if no arguments) using the ru-text scoring rubric.
Procedure
Where the reference files live
This skill reads the corpus that ships with the ru-text skill, which is installed alongside it. Locate that folder once, then read the named files from it:
- Look for a directory named
referenceswhose parent directory is namedru-text, and which containsinfo-style.md. Every file named below sits in that folder. - In Claude Code the plugin root is also available directly, which saves the search.
- Do not guess a path. If the folder cannot be found, say so and stop — a check run against remembered rules instead of the corpus is not this command, and reporting one as the other is the failure this whole product exists to prevent.
-
Load rubric — read
scoring.mdfor the full rubric with anchors. -
Determine domain — identify whether the text is UI/interface, business email, article, or general:
- UI text → also load
ux-writing.mdfor the Reader Precision dimension - Business email → also load
business-writing.mdfor the Reader Precision dimension - General → use
info-style.mdonly
- UI text → also load
-
Evaluate each dimension separately — score in this order:
- T — Типографика (weight 0.15): quotes, dashes, spaces, special characters per
typography.md - Ч — Чистота языка (weight 0.25): stop-words, bureaucratic language, clichés, passive voice per
info-style.md+anti-patterns.md - Г — Грамотность (weight 0.20): punctuation, agreement, tautology per
editorial-grammar.md+editorial-punctuation.md - С — Структура (weight 0.20): logical flow, paragraphs, transitions, heading use per
info-style.mdstructure section +addenda.md - Ц — Точность для читателя (weight 0.20): facts, evidence, reader benefit, actionability per domain rules
- T — Типографика (weight 0.15): quotes, dashes, spaces, special characters per
-
For each dimension — assign a score (0.0–10.0) using the rubric anchors in scoring.md. List 1–3 specific issues, quoting the problematic text fragment.
-
Apply non-compensatory rules:
- Any dimension < 3.0 → cap total at 5.0
- Typography < 4.0 → cap total at 7.0
- Grammar < 4.0 → cap total at 7.0
- Use the most restrictive cap when multiple conditions trigger
-
Compute composite score:
S = round₁(T × 0.15 + Ч × 0.25 + Г × 0.20 + С × 0.20 + Ц × 0.20) -
Short text warning — if text is under 50 words, prepend a reliability caveat.
Score labels
| Score | Label |
|---|---|
| 9.0–10.0 | Эталонный |
| 7.0–8.9 | Хороший |
| 5.0–6.9 | Средний |
| 3.0–4.9 | Слабый |
| 0.0–2.9 | Критический |
Output format
Read-only — do NOT modify the source files. ru-score reports a score and issues; it must not write to, edit, or overwrite the analysed file(s).
In Claude Code this is hardened by disallowed-tools, which removes the listed tools while the command is active — verified on 2.1.220. The list removes the direct file-writers Write, Edit and NotebookEdit, plus the command-executing tools we identified and tested: Bash, PowerShell and Monitor. It names the paths we closed, not every path that exists. allowed-tools pre-approves tools; it does not restrict them.
Four limits, stated plainly. A connected MCP server can expose write tools that a per-tool denial list cannot know about. A named subagent whose own definition grants it tools: Write is governed by that definition, not by this list. A later Claude Code release can add a tool this file does not name. And on hosts without disallowed-tools support the rule is an instruction rather than a platform guarantee.
The contract itself is behavioural and does not depend on the list: this command returns a score and never writes.
The report shape is not written twice. Read section «Output format» of scoring.md —
the mandated heading, the five Russian dimension labels, the per-cell limit of one to
three issues with quoted fragments, the weighted formula, the cap note, and the closing
«Что оценка не измеряет» section — and follow it exactly.
That file is the single source of it. A copy lived here until v2.0 and sat outside the no-loss gate, so the two could drift and only a reader comparing them would notice.
If a dimension has no issues, write «Замечаний нет» in the remarks column.
GitHub 仓库
常见问题
什么是 ru-score Skill?
ru-score 是一个 Claude Skill,作者为 talkstream。Skill 将 Claude 按需加载的说明和资源打包,让 Claude 无需额外提示即可执行与 ru-score 相关的任务。
如何安装 ru-score?
使用本页的安装命令:将 ru-score 作为插件添加到 Claude Code,或将其仓库克隆到 skills 目录,然后重启 Claude 以加载该 Skill。
ru-score 属于哪个分类?
ru-score 属于其他分类。
ru-score 可以免费使用吗?
可以。ru-score 已收录在 AIMCP,可免费安装。
相关推荐技能
LlamaGuard是Meta推出的7-8B参数内容审核模型,专门用于过滤LLM的输入和输出内容。它能检测六大安全风险类别(暴力/仇恨、性内容、武器、违禁品、自残、犯罪计划),准确率达94-95%。开发者可通过HuggingFace、vLLM或Sagemaker快速部署,并能与NeMo Guardrails集成实现自动化安全防护。
这个Claude Skill帮助开发者优化云成本,通过资源调整、标记策略和预留实例来降低AWS、Azure和GCP的开支。它适用于减少云支出、分析基础设施成本或实施成本治理策略的场景。关键功能包括提供成本可视化、资源规模调整指导和定价模型优化建议。
该Skill为开发者提供体育博彩数据分析工具,可分析盘口、大小球和特殊投注,识别价值投注机会。它整合历史数据和情景统计,生成包含时间戳的结构化Markdown报告。适用于需要快速获取博彩市场洞察的娱乐或教育类应用开发。
这个Skill使用bitsandbytes库量化大语言模型,能在GPU内存有限时通过8位或4位量化减少50-75%内存占用,同时保持精度损失最小。它支持INT8、NF4、FP4等多种量化格式,可与HuggingFace Transformers无缝集成,适用于需要部署更大模型或加速推理的场景。还提供QLoRA训练和8位优化器支持,让开发者能轻松实现高效模型压缩。
