by nanaism · Codex Skill · ★ 2.4k
Last updated: · Indexed by AgentSkillsHub · Auto-synced every 8h
npx skills add nanaism/yomiyasu
npx openskills install nanaism/yomiyasuTaken from the project's README on GitHub. Check the security audit before running it.
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. Full audit →
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 | 2,411 |
| Forks | 63 |
| Language | Python |
| Category | Codex Skill |
| License | MIT |
| Quality Score | 61/100 |
| Open Issues | 1 |
| Last Updated | 2026-10-23 |
| Created | 2026-09-30 |
| Platforms | claude-code, codex, gemini, python |
| Est. Tokens | ~16k |
yomiyasu（よみやす） これは何？ 『yomiyasu（よみやす）』は、AIが生成した日本語の不自然さを解消し、人間が読みやすく情報密度の高い日本語へ推敲するためのスキルです。 Codex、Claude Code、CursorをはじめとするAIコーディング環境に読み込ませて使用してください。 開発背景や言語学的病理の分析、複数のコーパスによる検証結果については、以下の解説記事で詳しく紹介しています。 解説記事: AI臭い日本語を脱臭するAgent Skill『yomiyasu』を作った話（Zenn） Built with curiosity at ALGO ARTIS ALGO ARTISについて 株式会社 ALGO ARTIS は、私たちが社会基盤の最適化に取り組んでいるスタートアップです。...
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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: