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yc-software/qm
54 real-world design systems (Stripe, Linear, Vercel, Notion, Apple…) as ready-to-paste HTML/CSS — exact colors, typography, components, and spacing for styling a page after a known brand.
Score Russian text 0.0–10.0 across five dimensions: typography, clean language, grammar, structure, precision for the reader.
Install Ru Score
$ npx skills add talkstream/ru-text --skill ru-score -a claude-codeProject install by default; add -g for ~/.claude/skills/.
$ gh skill install talkstream/ru-text ru-score --agent claude-codeProject scope by default; add --scope user for a personal install. Needs GitHub CLI 2.90.0 or later (public preview).
$ git clone --depth 1 https://github.com/talkstream/ru-text.git skills-src && mkdir -p .claude/skills && cp -r skills-src/skills/ru-score .claude/skills/ru-score && rm -rf skills-srcUse ~/.claude/skills/ instead of .claude/skills for a personal install. The folder must contain SKILL.md.
Claude Code skills documentation · loads skills from .claude/skills/
Install the "ru-score" agent skill from https://github.com/talkstream/ru-text/tree/main/skills/ru-score into .claude/skills/ru-score/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "ru-score", then confirm the skill loads.Claude Code copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$skill-installer install https://github.com/talkstream/ru-text/tree/main/skills/ru-scoreType this inside Codex. $skill-installer <name> installs a curated skill from openai/skills. The installer writes to $CODEX_HOME/skills (default ~/.codex/skills). Restart Codex if the skill does not show up.
$ npx skills add talkstream/ru-text --skill ru-score -a codexProject install goes to .agents/skills/; add -g for ~/.codex/skills/.
$ gh skill install talkstream/ru-text ru-score --agent codexProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/talkstream/ru-text.git skills-src && mkdir -p .agents/skills && cp -r skills-src/skills/ru-score .agents/skills/ru-score && rm -rf skills-srcUse ~/.agents/skills/ instead of .agents/skills for a personal install.
Codex skills documentation · loads skills from .agents/skills/
Install the "ru-score" agent skill from https://github.com/talkstream/ru-text/tree/main/skills/ru-score into .agents/skills/ru-score/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "ru-score", then confirm the skill loads.Codex copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$ npx skills add talkstream/ru-text --skill ru-score -a cursorProject install goes to .agents/skills/; add -g for ~/.cursor/skills/.
$ gh skill install talkstream/ru-text ru-score --agent cursorProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/talkstream/ru-text.git skills-src && mkdir -p .cursor/skills && cp -r skills-src/skills/ru-score .cursor/skills/ru-score && rm -rf skills-srcUse ~/.cursor/skills/ instead of .cursor/skills for a personal install.
Cursor skills documentation · loads skills from .cursor/skills/, .agents/skills/, .claude/skills/, .codex/skills/
Install the "ru-score" agent skill from https://github.com/talkstream/ru-text/tree/main/skills/ru-score into .cursor/skills/ru-score/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "ru-score", then confirm the skill loads.Cursor copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$ gemini skills install https://github.com/talkstream/ru-text.git --path skills/ru-score--scope user (default) or --scope workspace; --path is the subfolder of the repo that holds the skill; --consent skips the security confirmation prompt.
$ npx skills add talkstream/ru-text --skill ru-score -a gemini-cliProject install goes to .agents/skills/; add -g for ~/.gemini/skills/.
$ gh skill install talkstream/ru-text ru-score --agent gemini-cliProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/talkstream/ru-text.git skills-src && mkdir -p .gemini/skills && cp -r skills-src/skills/ru-score .gemini/skills/ru-score && rm -rf skills-srcUse ~/.gemini/skills/ instead of .gemini/skills for a personal install, then run /skills reload.
Gemini CLI skills documentation · loads skills from .gemini/skills/, .agents/skills/
Install the "ru-score" agent skill from https://github.com/talkstream/ru-text/tree/main/skills/ru-score into .gemini/skills/ru-score/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "ru-score", then confirm the skill loads.Gemini CLI copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$ gh skill install talkstream/ru-text ru-scoreInstalls for Copilot at project scope by default; add --scope user for a personal install. Preview a skill first with gh skill preview. Needs GitHub CLI 2.90.0 or later (public preview).
$ npx skills add talkstream/ru-text --skill ru-score -a github-copilotProject install goes to .agents/skills/; add -g for ~/.copilot/skills/.
$ git clone --depth 1 https://github.com/talkstream/ru-text.git skills-src && mkdir -p .github/skills && cp -r skills-src/skills/ru-score .github/skills/ru-score && rm -rf skills-srcUse ~/.copilot/skills/ instead of .github/skills for a personal install. Commit .github/skills so cloud agent and code review can use it.
GitHub Copilot skills documentation · loads skills from .github/skills/, .claude/skills/, .agents/skills/
Install the "ru-score" agent skill from https://github.com/talkstream/ru-text/tree/main/skills/ru-score into .github/skills/ru-score/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "ru-score", then confirm the skill loads.GitHub Copilot copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$ npx skills add talkstream/ru-text --skill ru-score -a opencodeOpenCode documents no install command of its own. Project install goes to .agents/skills/; add -g for ~/.config/opencode/skills/.
$ gh skill install talkstream/ru-text ru-score --agent opencodeProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/talkstream/ru-text.git skills-src && mkdir -p .opencode/skills && cp -r skills-src/skills/ru-score .opencode/skills/ru-score && rm -rf skills-srcUse ~/.config/opencode/skills/ instead of .opencode/skills for a personal install.
OpenCode skills documentation · loads skills from .opencode/skills/, .claude/skills/, .agents/skills/
Install the "ru-score" agent skill from https://github.com/talkstream/ru-text/tree/main/skills/ru-score into .opencode/skills/ru-score/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "ru-score", then confirm the skill loads.OpenCode copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
Facts
- Skill name
ru-score- GitHub stars
- 254
- Used in
- 2 other repos
- Token cost
- ~1.4k tokens
- SKILL.md length
- 708 words
- Files
- 1
- Skills in repo
- 3
- Repo updated
- First seen
- Licence
- MIT
At a glance
Score Russian text 0.0–10.0 across five dimensions: typography, clean language, grammar, structure, precision for the reader.
- Works in 7 steps: Load rubric — read scoring.md for the… → Determine domain — identify whether the… → Evaluate each dimension separately —… → …
- The user wants a number rather than a list of findings
- SKILL.md covers Procedure, Where the reference files live, Score labels and Output format
- Instructions only: no scripts, shell commands, URLs or credentials in SKILL.md
What it does
Ru Score is an agent skill from talkstream/ru-text. Score Russian text 0.0–10.0 across five dimensions: typography, clean language, grammar, structure, precision for the reader. Triggers: оцени текст, ru-score, оценка качества текста, насколько хорош текст, балл за текст. Use when the user wants a number rather than a list of findings. Never edits a file.
Its SKILL.md is about 1.4k tokens, which your agent loads only when the skill is triggered. It is a single SKILL.md file with no bundled scripts.
It sits in Frontend & Design, covering Typography. It works with Notion. The repository describes itself as: Russian text quality for AI agents — neuroslop cleanup, typography, information style, editorial standards, UX writing, business correspondence. Scores text 0–10. 2,000+… The licence is MIT.
When your agent uses it
- The user wants a number rather than a list of findings
- Tasks that involve Typography
Example prompts
- “/ru-score”
Requirements
- Pre-approved tools (allowed-tools): Read, Grep, Glob
Workflow steps
7 steps, taken from the first numbered list in SKILL.md.
- Load rubric — read scoring.md for the full rubric with anchors.
- Determine domain — identify whether the text is UI/interface, business email, article, or general
- Evaluate each dimension separately — score in this order
- 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…
- Apply non-compensatory rules
- Compute composite score
- Short text warning — if text is under 50 words, prepend a reliability caveat.
What it can do on your machine
Read from SKILL.md and the folder at commit c5d2ee5. It shows what the files ask for, not the result of running them.
Tool permissions
Pre-approves these tools, so the agent can use them without asking each time:
ReadGrepGlob
From allowed-tools in the SKILL.md frontmatter.
Runs code
No scripts in the folder and no shell commands in SKILL.md.
From the folder's file list and the shell code blocks in SKILL.md.
Network
No URLs in SKILL.md.
From URLs in SKILL.md, links to its own repository left out.
Credentials
Names no API keys, tokens, secrets or passwords.
From names ending in _API_KEY, _TOKEN, _SECRET, _KEY or _PASSWORD in SKILL.md.
Context cost
Ru Score loads about 1.4k tokens when it runs. Until then it costs about 79 tokens; SKILL.md has 708 words of instructions outside code blocks.
Estimates: characters ÷ 4, the usual rule of thumb; real counts depend on the model's tokenizer. Scripts and assets cost tokens only if the agent reads them.
Safety
Auto-check passed
The automated check found no risky patterns in SKILL.md.
Automated static check — not a guarantee. Review scripts before installing. It scans the text of SKILL.md for risky patterns (piping downloads into a shell, reading credential files, hidden Unicode, destructive commands); files beside SKILL.md are not scanned.
SKILL.md
The full file from talkstream/ru-text at commit c5d2ee5, republished under its MIT licence (© talkstream). 708 words, ~1,358 tokens.
Download SKILL.mdSave it as
.claude/skills/ru-score/SKILL.md (or your agent's skills folder).- name
- ru-score
- description
- Score Russian text 0.0–10.0 across five dimensions: typography, clean language, grammar, structure, precision for the reader. Triggers: оцени текст, ru-score, оценка качества текста, насколько хорош текст, балл за текст. Use when the user wants a number rather than a list of findings. Never edits a file.
- allowed-tools
- Read, Grep, Glob
- disallowed-tools
- Write, Edit, NotebookEdit, Bash, PowerShell, Monitor
- context
- fork
- user-invocable
- true
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. - Search with file tools, never with a shell.
Globon a pattern like**/ru-text/references/info-style.md, or whatever file search the host offers, thenRead. This command has no use for a command line:Bashis on itsdisallowed-toolslist, and hosts that do not implement that field still refuse it — measured in Claude Cowork on 12.08.2026, where an openinglsreturned «Permission to use Bash has been denied» in red before the search found the corpus anyway. The call bought nothing and cost the reader a scare. - 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.
Show full SKILL.md (287 more words)Show less
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.
© talkstream, MIT. Rendered from Markdown: HTML in the file is shown as text, images as links, and headings moved down two levels. Raw file
Files
Just SKILL.md in skills/ru-score of talkstream/ru-text.
Open the folder on GitHubat commit c5d2ee5
Used in 2 other repositories
We found 2 copies of this SKILL.md (exact, near-identical or edited) in other folders, from 2 other GitHub owners. This page covers the copy in talkstream/ru-text, which our catalogue first saw on October 7, 2026.
Compare with similar skills
Ru Score next to the 5 skills that share the most tags, products or categories with it. Stars are the repository's; “used in” counts other GitHub owners with a copy.
| Skill | Stars | Used in | Tokens | Auto-check | Licence | Repo updated |
|---|---|---|---|---|---|---|
| Ru Score this skilltalkstream/ru-text | 254 | 2 repos | ~1.4k | Automated safety check: Pass | MIT | |
| Popular Web Designsyc-software/qm | 15k | — | ~2.9k | Automated safety check: Pass | MIT | |
| Popular Web DesignsTommy-yw/RunbookHermes | 546 | 1 repos | ~2.4k | Automated safety check: Pass | MIT | |
| SkilluiCraftOS-dev/CraftBot | 392 | — | ~1.2k | Automated safety check: Pass | MIT | |
| Impeccablebestofjs/bestofjs | 3.1k | 27 repos | ~2.6k | Automated safety check: Pass | MIT | |
| Tailwindcss Developmentanonaddy/anonaddy | 4.9k | 10 repos | ~865 | Automated safety check: Pass | MIT |
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Questions about Ru Score
What does Ru Score do?
Score Russian text 0.0–10.0 across five dimensions: typography, clean language, grammar, structure, precision for the reader. Ru Score is an agent skill from talkstream/ru-text.0 across five dimensions: typography, clean language, grammar, structure, precision for the reader.
When should I use Ru Score?
Ru Score fits situations like: the user wants a number rather than a list of findings; tasks that involve Typography.
How do I install Ru Score in Claude Code?
Run `npx skills add talkstream/ru-text --skill ru-score -a claude-code`. Or copy the skill folder (skills/ru-score in talkstream/ru-text) into .claude/skills/ru-score in your project. Claude Code loads it when a task matches its description.
How do I install Ru Score in Codex?
Run `npx skills add talkstream/ru-text --skill ru-score -a codex`. Or copy the skill folder (skills/ru-score in talkstream/ru-text) into .agents/skills/ru-score in your project. Codex loads it when a task matches its description.
Can I use Ru Score in Cursor, Gemini CLI or GitHub Copilot?
Cursor, Gemini CLI, GitHub Copilot and OpenCode also load SKILL.md folders. With the skills CLI, run `npx skills add talkstream/ru-text --skill ru-score -a cursor` (or -a gemini-cli, github-copilot or opencode for the others). To copy it by hand, put the folder in .cursor/skills/ru-score, .gemini/skills/ru-score, .github/skills/ru-score and .opencode/skills/ru-score in your project.
What does Ru Score need to run?
SKILL.md names no scripts, command-line tools or credentials: Ru Score is instructions for the agent only. Its frontmatter pre-approves these tools: Read, Grep, Glob.
Does Ru Score access the network?
SKILL.md contains no URLs. Any network use would come from the scripts or tools the agent runs. This is read from the text; nothing was executed.
Is Ru Score safe to install?
Our automated static check of SKILL.md found no risky patterns, such as piping downloads into a shell, reading credential files or hidden Unicode. It is not a guarantee. Review the folder before installing.
What licence does Ru Score use?
Ru Score is published under the MIT licence (the repository's licence). It allows redistribution, so the full SKILL.md is shown on this page.
How many tokens does Ru Score use?
About 1.4k tokens (SKILL.md is roughly 5.4k characters). Agents keep only the skill's name and description in context until a task matches; then they load SKILL.md in full.
What are the alternatives to Ru Score?
Skills that share tags, products or a category with Ru Score: Popular Web Designs (yc-software/qm, 15k stars), Popular Web Designs (Tommy-yw/RunbookHermes, 546 stars), Skillui (CraftOS-dev/CraftBot, 392 stars) and Impeccable (bestofjs/bestofjs, 3.1k stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.
Who maintains Ru Score?
talkstream (a GitHub user) maintains it in talkstream/ru-text, which has 254 GitHub stars. The repository holds 3 skills in this directory. The repository was last updated on October 3, 2026.
Source: talkstream/ru-text on GitHub. Facts on this page come from the repository at the commit we read; the author's words are quoted as theirs.