yomiyasu – Agent Skill for Refining AI‑Generated Japanese
yomiyasu is a developer‑tool skill that rewrites AI‑generated Japanese into natural, concise, and information‑dense prose suitable for technical documentation. 1,166 GitHub stars in 2 days since nanaism/yomiyasu was created (504.2/day). 1 source across 1 channel. Automatically detected; not yet reviewed.
38Fact cited ·Analysis our interpretation ·Estimate forward-looking · [n] links to the source
5 claims drafted by openai/gpt-oss-20b were kept because each quote was found verbatim in its source; 1 unverifiable claim was discarded. Statements marked AI await human review.
What happened
- Fact yomiyasu rewrites AI‑generated Japanese into natural Japanese[1]AI
AI生成の日本語を自然な日本語へ推敲するAgent Skill / Agent Skill for Refining AI-Generated Japanese into Natural Japanese
- Fact It targets technical articles, design documents, PR descriptions, and internal reports[1]AI
主に技術記事、設計書・仕様書、PR説明文、社内レポートなどの実務的な文章を対象として設計されています。
- Fact The skill is designed for Codex, Claude Code, Cursor and other LLM coding environments[1]AI
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。
- Fact It applies seven transformation principles based on syntactic structure[1]AI
文章の骨格である統語構造を7つの変換原則として体系化し、主要なLLM環境で自然な日本語へ推敲できるように設計しています。
- Fact The GitHub repository nanaism/yomiyasu was created on 30 Sept 2026 and had 1,166 stars on 2 Oct 2026.[1]
- Fact Its description reads: “AI生成の日本語を自然な日本語へ推敲するAgent Skill / Agent Skill for Refining AI-Generated Japanese into Natural Japanese”[1]
- Fact That is 1,166 stars in 2 days, an average of 504.2 per day.[1]
Why it matters
- Analysis Clone the repository, load the skill into their preferred LLM environment (Codex, Claude Code, Cursor), and use it to rewrite AI‑generated Japanese textAI
- Analysis Automatically detected from public activity data. Not yet reviewed by an analyst.
Should I care?
What changed?
- Fact yomiyasu rewrites AI‑generated Japanese into natural Japanese[1]AI
AI生成の日本語を自然な日本語へ推敲するAgent Skill / Agent Skill for Refining AI-Generated Japanese into Natural Japanese
- Fact It targets technical articles, design documents, PR descriptions, and internal reports[1]AI
主に技術記事、設計書・仕様書、PR説明文、社内レポートなどの実務的な文章を対象として設計されています。
Who is affected?
- Analysis Software developers, technical writers, and teams producing Japanese technical documentationAI
What can developers do with it?
- Analysis Clone the repository, load the skill into their preferred LLM environment (Codex, Claude Code, Cursor), and use it to rewrite AI‑generated Japanese textAI
Is it production-ready?
Insufficient evidence
Analysis Not assessed.
What would make it important?
Not yet assessed.
What could prevent adoption?
Not yet assessed.
Technical change
- Fact yomiyasu rewrites AI‑generated Japanese into natural Japanese[1]AI
AI生成の日本語を自然な日本語へ推敲するAgent Skill / Agent Skill for Refining AI-Generated Japanese into Natural Japanese
- Fact It targets technical articles, design documents, PR descriptions, and internal reports[1]AI
主に技術記事、設計書・仕様書、PR説明文、社内レポートなどの実務的な文章を対象として設計されています。
- Fact The skill is designed for Codex, Claude Code, Cursor and other LLM coding environments[1]AI
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。
- Fact It applies seven transformation principles based on syntactic structure[1]AI
文章の骨格である統語構造を7つの変換原則として体系化し、主要なLLM環境で自然な日本語へ推敲できるように設計しています。
Architecture
No architecture has been documented for this signal.
Developer impact
Developer implications have not been assessed yet.
Difficulty has not been estimated yet.
Adoption & momentum
No adoption indicators recorded.
Timeline
First seen by the Astrava pipeline[1]
Limitations & risks
- Fact The skill is currently only available as a GitHub repository and requires manual integration into LLM environments[1]AI
nanaism/yomiyasu repository. AI生成の日本語を自然な日本語へ推敲するAgent Skill
- Analysis Generated from activity metrics only; verify the linked sources before acting on it.
Competing approaches
No competing approaches documented yet.
Who is building on it
No independent projects or organisations are documented as building on this yet.
Evidence & sources
Primary source (1)
Published by the people who built it: release notes, repositories, papers, official docs.
- [1]nanaism/yomiyasu repository(opens in a new tab)
AI生成の日本語を自然な日本語へ推敲するAgent Skill / Agent Skill for Refining AI-Generated Japanese into Natural Japanese
Secondary source (0)
Independent reporting, third-party benchmarks, integrations by other projects.
None recorded.
Community signal (0)
Discussion threads and social posts. Evidence of attention, not of correctness.
None recorded.
How the score of 38 was calculated
| Factor | Share of maximum | Points |
|---|---|---|
| NoveltyRubric level 2/4 (Moderate). Heuristic (automated): first published 2 days ago. | 7.5/15 | |
| Technical significanceNot yet assessed. Requires analyst review; not assessed automatically. | 0/15 | |
| Developer relevanceRubric level 3/4 (High). AI-assisted (openai/gpt-oss-20b), pending human review: Directly applicable to developers needing to produce clear, concise Japanese documentation from AI outputs Evidence: “主に技術記事、設計書・仕様書、PR説明文、社内レポートなどの実務的な文章を対象として設計されています。” | 11.3/15 | |
| Adoption velocityIndependent integrations: unknown (0 pts). GitHub stars: 504.2 per day since creation; full marks at 1000/day, log-scaled (4.5/5). | 4.5/10 | |
| Community momentumFewer than three periods of activity data, or no baseline activity to compare against. | 0/10 | |
| Source credibilityPrimary source present; mean source-tier weight 1.00 (primary 1.0, secondary 0.7, community 0.35). | 10/10 | |
| Cross-source confirmationNo independent publisher has confirmed this yet. | 0/10 | |
| Evidence strengthMet 2/4: primary source ✓, runnable artifact (code, weights or package) ✓, reproducible or independent benchmark ?, technical documentation or paper ✗. 1 unknown (scored 0). | 5/10 | |
| Time to impactNo time-to-impact estimate yet. | 0/5 | |
| Hype penaltyNo hype indicators detected. | 0 | |
| Breakout Score | 38 |
Low confidence (0.48) — 60% of measured factors have data. 0 independent non-community publishers. At least one primary source. Evidence strength 5/10. Capped at Low: no independent, non-community source yet.
An analytical ranking derived from observable signals using model breakout-v1.2. It is not a prediction and not a measure of quality. How it works