by N1arko · Codex Skill · ★ 186
Last updated: · Indexed by AgentSkillsHub · Auto-synced every 8h
git clone https://github.com/N1arko/redaktura-skills.gitTaken from the project's README on GitHub.
None of the 42 rules matched — no credential harvesting, no data exfiltration, no curl-pipe-shell installer. Scanned against 42 published rules built on the SlowMist agent-security taxonomy, refreshed every 8 hours.
The quality score combines nine heuristic checks of the repo and its README: completeness, clarity, specificity, examples, structure, agent readiness, step-by-step content, instruction quality and security notes. It rates how well the project explains itself to an agent, not the code.
| Stars | 186 |
| Forks | 23 |
| Category | Codex Skill |
| Quality Score | 60/100 |
| Open Issues | 1 |
| Last Updated | 2026-08-10 |
| Created | 2026-07-05 |
| Platforms | claude-code, codex |
| Est. Tokens | ~11k |
redaktura-skills Набор Agent Skills для редполитики, редактуры, статей, постов, промотекстов и UX-текстов на русском языке. Метод основан на практиках Людмилы Сарычевой (gladlax.ru) и собран совместно с Никитой Архиповым (niar42.com). Папки совместимы с клиентами, которые читают скиллы в формате : Claude Code, Codex и другие агенты с поддержкой Agent Skills.
Looking for a redaktura-skills alternative? If you're comparing redaktura-skills with other codex skill tools, these 6 projects are the closest alternatives on Agent Skills Hub — ranked by topic overlap, star count, and community traction.
Skill для AI-агентов (Claude Code, Codex, OpenClaw, Hermes): убирает 37 признаков AI-генерации из русского тек
humanizer-ru: редактура русского текста для AI-агентов. Убирает канцелярит и шаблонные обороты, сверяет смысл
Правит русский текст после нейросети и сверяет цифры, даты и имена. Навык для Claude Code, Codex, Cursor и Cla
微信公众号 AI 运营助手 | 选题、写稿、审稿、排版、配图、发布全流程 Skill，支持 OpenClaw / Claude Code / Cursor / Codex
Curated AI coding agent skills and AGENTS.md playbooks for Codex, Claude Code, Cursor, OpenClaw, and other SKI
An opinionated, AI-native development workflow for Java Enterprise — reusable Skills, Agents, Commands, and MC
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Grades come from a rule-based scan built on the SlowMist agent-security taxonomy: 42 published rules, covering credential harvesting, data exfiltration, curl | sh installers and more. It is a first-layer scan, not a manual audit — we say so rather than overstate it.
The scale of the problem is documented independently: Liu et al. (2026), in a study of 31,132 agent skills, report that 26.1% contain security vulnerabilities. Our own full-catalog census is published as a citable open dataset.
Sources & who's responsible: