Star200+

Ru Text

STRONG · 80
Community indexed

Russian text quality plugin for Claude Code, Cowork, Codex CLI, Gemini CLI, Cursor, OpenClaw, and Notion — typography, info-style, editorial, UX writing

Downloads0
Stars171
Version1.0.0
Quality94/100 · Excellent
Trust80/100 · Review then install
Audit90/100 · Safe to try

Supply asset profile

Coding and developer agents

Code review, repo analysis, testing, CI, GitHub, DevOps, and developer workflow skills.

Browse track

Scenario

GitHub automation

I need my agent to triage GitHub issues, review pull requests, and summarize repository changes.

Agent fit

Claude Code + CLI + Codex

Codex, Claude Code, Cursor, CLI, or custom agents.

Install

Ready

npx skills add talkstream/ru-text

Maintenance

fresh

3d since push

Risk

Safe to try

Stars/forks activity: 171 stars, 20 forks; issue activity unavailable in current metadata

GitHub quality

171

94/100 Quality · 85/100 Trust

Coverage tags

CodingGitHub automationproductivityrussiantext-editing

Review notes

Stars/forks activity: 171 stars, 20 forks; issue activity unavailable in current metadata

Agent adoption scorecard

Trust, audit, and install readiness at a glance

These scores combine public repository metadata, OpenAgentSkill review signals, maintenance freshness, and install readiness. They are a shortlist signal, not a replacement for human review.

Quality

Excellent
94

High-confidence pick with strong adoption and healthy maintenance signals.

Trust

Review then install
80

Good shortlist signal, but the agent should review audit notes, install policy, and outcome evidence before running it.

Audit

Safe to try
90

A machine-readable review of install readiness, security metadata, maintenance, and adoption risk.

OpenAgentSkill Trust Score v5

Human review before install

Use as the primary candidate after human or sandbox review.

ShellCodexClaude CodeCursorOpenAgentSkill CLI

Stars

171 GitHub stars

Repo activity

171 stars, 20 forks

Maintenance

3d since push

License

MIT

Install

npx skills add talkstream/ru-text

Install safety

standard package or runtime install path

Permission surface

shell or command execution

Agent outcomes

No agent outcome data yet

Docs

Strong README/SKILL.md context

Risk summary

Low metadata risk

  • Stars/forks activity: 171 stars, 20 forks; issue activity unavailable in current metadata

Install readiness

Install path available

  • Install path is available
  • Repository evidence is available
  • License is declared
  • No Agent Proven outcome evidence yet

Agent-readable metadata

Machine-readable decision data for this skill.

Use this block or the embedded JSON to decide whether an agent should install this skill, choose an alternative, or ask for human review first.

Open JSON

Suited tasks

  • GitHub automation workflows
  • Claude Code teams
  • builders willing to evaluate younger projects
  • Inspect repository metadata

Suited agents

ShellCodexClaude CodeCursorOpenAgentSkill CLICLI

Install decision

Command
npx skills add talkstream/ru-text
Policy
review
Human review
yes

Trust and risk

Trust
80/100
Audit
90/100
Risk level
Safe to try

Outcome loop

Endpoint
/api/agent/outcome
Event ID
resolve
Outcomes
5

Install command

npx skills add talkstream/ru-text
Public auditEval reportResolve APIInstall handoff

Do not use when

  • teams that need a vendor-supported SLA
  • high-compliance environments without internal security review
  • No major risk signals from current metadata
  • High-risk permission hints: Shell or command execution
  • Stars/forks activity: 171 stars, 20 forks; issue activity unavailable in current metadata

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Agent safety v2

62/100 · Review before install

Reviewed with permission notesreview

Usable candidate, but the agent should surface permission and audit notes before installation.

Require human approval before installing into a real workspace.

Resolve via API

high

Shell or command execution

Skill metadata references terminal, CLI, shell, subprocess, or command execution workflows.

medium

Network access

Skill likely fetches remote pages, APIs, repositories, or external services.

medium

Filesystem access

Skill may read or write project files, documents, generated artifacts, or local workspace state.

  • High-risk permission hints: Shell or command execution
  • Stars/forks activity: 171 stars, 20 forks; issue activity unavailable in current metadata

Install targets

Install this skill in your agent workflow

Use the public install endpoint to fetch the command, safety checklist, target prompts, and canonical links for this skill.

skill install

OpenAgentSkill CLI

Use the registry command when your workflow supports the OpenAgentSkill installer.

$ npx skills add talkstream/ru-text

Agent resolve plan

Let an agent verify fit before installing.

The Resolve API returns the selected skill, alternatives, safety policy, audit notes, install target, and copy-paste prompt an agent can follow without scraping this page.

Open text plan

Open JSON

/api/agent/resolve?task=Use%20Ru%20Text%20for%20an%20agent%20workflow&agent=codex&max_risk=medium

Resolve text

/api/agent/resolve?task=Use%20Ru%20Text%20for%20an%20agent%20workflow&agent=codex&max_risk=medium&format=text

Install handoff

/api/skills/talkstream-ru-text/install

Agent should check

  • Task fit and alternatives from Resolve API.
  • Audit score, trust score, and safety policy warnings.
  • Install target compatibility for Codex, Claude Code, Cursor, or CLI.

Copy prompt

Task: Use Ru Text in this workspace.
Resolve first: https://www.openagentskill.com/api/agent/resolve?task=Use%20Ru%20Text%20for%20an%20agent%20workflow&agent=codex&max_risk=medium
Review install handoff: https://www.openagentskill.com/api/skills/talkstream-ru-text/install
Install command: npx skills add talkstream/ru-text
Before running it, summarize audit warnings, required permissions, and the fallback skill if install is risky.

Agent handoff

Give an agent the install path, not another directory page.

Use the public install endpoint to fetch the command, safety checklist, target prompts, and canonical links for this skill.

Open install API

Install handoff

/api/skills/talkstream-ru-text/install

LLM text format

/api/skills/talkstream-ru-text/install?format=text

Find alternatives

/api/skills/search?q=Ru%20Text&limit=3

Agent prompt

Use Ru Text for this task. Review https://www.openagentskill.com/api/skills/talkstream-ru-text/install, then install with: npx skills add talkstream/ru-text

Registry metadata

Agent-readable profile for automatic skill selection.

This page exposes the same decision, trust, audit, use-case, and install signals through the Registry API, so agents can rank this skill without scraping the UI.

Open manifest

Manifest

/api/registry/manifest/talkstream-ru-text

LLM text

/api/registry/manifest/talkstream-ru-text?format=text

Install alias

/api/registry/install/talkstream-ru-text

Recommend

/api/registry/recommend?task=Use%20Ru%20Text%20in%20an%20agent%20workflow&limit=3

Agent fit

93/100

GitHub automation

Use-case tags

GitHub automationCoding agentsBrowser automation

Platforms

Shell, Claude Code

Audit report

Safe to try · 90/100

A machine-readable review of install readiness, security metadata, maintenance, and adoption risk.

View audit reportView eval report

Agent decision cockpit

Primary pick for GitHub automation

Use this as a leading candidate, then validate the README and install path in your own agent stack.

93
Readiness
Adopt
Stage

Role in stack

Primary pick

Primary fit

GitHub automation

Trust label

Production-ready

Install path

Command ready

Use when

  • GitHub automation workflows
  • Claude Code teams
  • builders willing to evaluate younger projects

Evidence

  • recent repository activity
  • install command or GitHub repo available
  • 94/100 quality profile
  • 1 OpenAgentSkill engagement events

review first

  • No major risk signals from current metadata

Implementation path

  1. 1Install it in a sandbox agent and run one GitHub automation task end to end.
  2. 2Compare output quality, latency, and failure behavior against at least one alternative.
  3. 3Promote it into production only after reviewing repository permissions, license, and maintenance signals.

Trust profile

Review then install

Good shortlist signal, but the agent should review audit notes, install policy, and outcome evidence before running it.

80
OpenAgentSkill Trust Score

GitHub adoption

INFO

171 GitHub stars

Stars/forks activity

CHECK

171 stars, 20 forks; issue activity unavailable in current metadata

Recent maintenance

PASS

3d since push

License clarity

PASS

MIT

Good signals

  • Manually verified listing
  • AI review approved
  • Install path is available
  • Repository evidence is available
  • Recently maintained repository
  • Install command has no obvious high-risk pattern
  • Outcome loop is ready but needs first real agent run

Review before install

  • Stars/forks activity: 171 stars, 20 forks; issue activity unavailable in current metadata
  • No real agent outcome reports yet
  • Human review required before unattended installation

Recommended action

Use as the primary candidate after human or sandbox review.

Quality profile

Excellent candidate for agent workflows

High-confidence pick with strong adoption and healthy maintenance signals.

94
GitHub stars
171
Freshness
3d ago
Install ready
Yes
License
MIT

Workflow fit

Use this skill in these scenarios

Manage repositories

GitHub automation

I need my agent to triage GitHub issues, review pull requests, and summarize repository changes.

Build and ship code

Coding agents

I need a coding agent that can understand a repository, edit code, and review pull requests.

Operate web apps

Browser automation

I need my agent to control a browser, fill forms, and verify web app workflows.

Workflow fit

Add it to a complete workflow

Inspect, patch, and verify code

Coding review agent

A workflow for software agents that inspect repositories, review pull requests, generate tests, and turn findings into shippable patches.

Design, build, test, and ship interfaces

Frontend and UI

A practical workflow for agents that turn product briefs or Figma designs into polished frontend code, review the result, test it in a browser, and prepare a safe deployment.

Operate and verify web apps

Browser QA agent

A workflow for agents that navigate products, fill forms, take screenshots, and verify real user flows across web applications.

Alternative shortlist

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Overview

# ru-text

[![Version](https://img.shields.io/github/v/release/talkstream/ru-text?label=version&color=2ea44f)](https://github.com/talkstream/ru-text/releases/latest) [![License](https://img.shields.io/github/license/talkstream/ru-text?label=license&color=blue)](LICENSE) [![GitHub stars](https://img.shields.io/github/stars/talkstream/ru-text?style=flat&label=stars)](https://github.com/talkstream/ru-text/stargazers)

[English](README.en.md) · [Установка](INSTALL.md) · [Что изменилось](CHANGELOG.md) · [Источники](skills/ru-text/references/sources.md)

ИИ-агент уже записывает ваши мысли по-русски, и это видно: прямые кавычки вместо ёлочек, дефис вместо тире, «в целях повышения эффективности», «Отличный вопрос!». Мысль ваша, а звучит как машина.

ru-text — навык вычитки русского текста для ИИ-агентов. Он работает внутри агента и чистит это по ходу дела: типографику, канцелярит и семнадцать примет машинного текста (нейрослоп). На каждую правку даёт цитату и правило, по которому она сделана.

Ваши слова, стиль и тон он не трогает: это не ошибки. И ваш файл он не перепишет, пока вы сами не попросите.

## Нейрослоп

Ловить модель по словарю бесполезно: словарь у неё наш. Выдаёт её манера. Она хвалит ваш вопрос и спорит с тем, чего никто не говорил.

Вот пять предложений, в которых нет ни одного факта:

> Отличный вопрос! Сейчас всё объясню — коротко, без воды и по делу. Скажу честно: тут есть нюанс. Давайте разберёмся, как это работает. Дело не в скорости, а в предсказуемости.

Тот же ответ, когда автору есть что сказать:

> Под нагрузкой система замедляется предсказуемо: очередь растёт линейно до 800 запросов в секунду, дальше отказы. Вот замеры.

Приёмы по порядку:

- «Отличный вопрос!» — сервисная реплика ассистента; - «коротко, без воды и по делу» — похвала себе за краткость; - «скажу честно» — объявленная искренность; - «давайте разберёмся» — пустой зачин; - «дело не в скорости, а в предсказуемости» — ложная антитеза: отрицается то, чего никто не утверждал.

Первый вари

Platform compatibility

shellFULL

Technical details

Version
1.0.0
License
MIT
Last updated
Jul 30, 2026
Published
Jul 30, 2026

Frameworks & tools

Shell

Decision snapshot

Primary pick

93
Ready
Adopt
Stage

recent repository activity

Audit

Install review

Install and adoption review

90
Safe to try
Security
85/100
Maintenance
100/100
Install
92/100
Open full auditView eval report

Agent-proven evidence

Agent-proven evidence

Outcome reports after resolve, review, install, and one narrow run.

0
Proven
Needs first agent runAuto-install: review firstLast: Unknown
Success rate
—
Recent failure
—
Outcomes
0
Output quality
—
Failed
0
Not relevant
0
Installs
0
Risk blocked
0
Setup needed
0
Production
0

No agent outcome data yet. The first agent run can report success, setup needs, risk blocks, failure, or not-relevant through /api/agent/outcome.

Agent-Proven rankingOutcome contract

Install

Add to agent workflow

Free and open source. Review the report before installing into production agents.

Compare AlternativesAuto-resolve PlanView on GitHubDocumentation

Growth loop

Share kit

X

Scenario-led draft for Ru Text, ready for a manual X post.

Curator note
Ru Text: Russian text quality and typography skill for AI agents to improve output readability and rem...

171 stars

https://www.openagentskill.com/skills/talkstream-ru-text?ref=x
Open X draft
Optional reply with install command
Listing + install path for Ru Text:
https://www.openagentskill.com/skills/talkstream-ru-text?ref=x

Install: npx skills add talkstream/ru-text
Open reply draft

Listing source

Community indexed

Claimable

This listing was indexed from public sources and is not marked official until a maintainer claim is approved.

Creator
talkstream
Indexed by
OpenAgentSkill community index

Attribution links to the public repository or creator profile. Creators can claim the listing to update ownership signals.

Claim this skill

Owner claim

Claim this skill listing

This Community indexed listing is attributed to talkstream but is not marked official yet. Claim it to add a verified owner signal and make future launch, install, and audit updates easier to trust.

Creator backlink kit

Add the evidence badges to your README

Show the canonical listing, current trust and audit signals, and real Agent-Proven evidence where developers evaluate the repository.

[![Listed on OpenAgentSkill](https://www.openagentskill.com/api/badge/talkstream-ru-text?metric=listed&label=Listed)](https://www.openagentskill.com/skills/talkstream-ru-text)
[![OpenAgentSkill Trust](https://www.openagentskill.com/api/badge/talkstream-ru-text?metric=trust&label=Trust)](https://www.openagentskill.com/skills/talkstream-ru-text)
[![OpenAgentSkill Audit](https://www.openagentskill.com/api/badge/talkstream-ru-text?metric=audit&label=Audit)](https://www.openagentskill.com/skills/talkstream-ru-text/audit)
[![Agent Proven](https://www.openagentskill.com/api/badge/talkstream-ru-text?metric=proven&label=Agent%20Proven)](https://www.openagentskill.com/skills/talkstream-ru-text)
Preview badge Open audit Creator kit

Author

T

talkstream✓

@talkstream

Tags

russiantext-editingtypographywritingai-agent-skill

Platform fit

Claude Code

Health signals

GitHub stars
171
Quality score
58/100
Last GitHub push
Jul 30, 2026
Framework hints
1
OpenAgentSkill views
1
Install copies
0
Outbound clicks
0

Community signal

Share whether this skill looks useful for your agent workflow. Aggregated feedback improves rankings over time.

Trust & safety

Review then install

80
  • GitHub adoption171 GitHub starsINFO
  • Stars/forks activity171 stars, 20 forks; issue activity unavailable in current metadataCHECK
  • Recent maintenance3d since pushPASS
  • License clarityMITPASS
  • README/SKILL.md completenessMetadata includes enough usage and workflow contextPASS
  • Dependency/runtime riskcommand execution surfaceINFO

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