Borrowing it
Nothing to install: this file belongs to coji/natural-japanese. Take a copy, put it at the same path in your own repository, and replace the rules that are about this project with yours.
curl -O https://raw.githubusercontent.com/coji/natural-japanese/main/AGENTS.mdgit clone --depth 1 https://github.com/coji/natural-japaneseWrote this? Show the measurements
A badge with what this costs and how it scanned, read live from this page, so it follows the numbers instead of freezing them. Markdown for a README, HTML for a documentation site or a project page.
[](https://agentmods.dev/instructions/coji/natural-japanese/agents-md)<a href="https://agentmods.dev/instructions/coji/natural-japanese/agents-md"><img src="https://agentmods.dev/badge/instructions/coji/natural-japanese/agents-md.svg" alt="Measured on agentmods" height="20"></a>What it costs to keep this loaded
Counted locally with the o200k_base tokenizer, which is exact for GPT models; Claude uses its own tokenizer and its counts differ. Treat this as one consistent yardstick across the catalogue rather than a bill. Prices are per million input tokens.
| Model | Per session | Once invoked |
|---|---|---|
| Fable 5.1 | $0.00757 | $0.00757 |
| Opus 5 | $0.00378 | $0.00378 |
| Sonnet 5 | $0.00151 | $0.00151 |
| Haiku 4.5 | $0.00076 | $0.00076 |
Grade A, and why
natural-japanese AGENTS.md scanned grade A with 0 findings against 26 rules in 11 categories — prompt injection, anti-refusal, data exfiltration, privilege escalation, supply chain, agent snooping, system-prompt leakage, SSRF and excessive agency — measured 2d ago.
A static scan of the body, not an audit. Every finding is printed with the line that produced it so you can judge whether it matters here. A mod is markdown that instructs an agent; that is exactly why what it instructs is worth reading.
Nothing flagged
None of the 26 patterns this scan looks for appear in this file: no shell pipes, no recursive deletes, no credential paths, no hidden text, no instruction-override or anti-refusal phrasing, no agent-config snooping. That is not a guarantee, it is the absence of the things that are checkable.
What it actually says
AGENTS.md
このリポジトリは natural-japanese という Agent Skill を配布するためのものです。
スキル本体は skills/natural-japanese/ にあり、SKILL.md と references/・scripts/・assets/ で構成されます。
このスキルについて
仕事の日本語文書を読みやすくわかりやすく書く・直すためのスキルです。議事録・調査レポート・社内ガイド・リサーチメモ・スライド構成といったビジネス文書から、note・ブログ・エッセイまで扱います。AI臭さの除去は、このスキルの一工程として組み込まれています。
設計は二軸です。
- 検出は機械、判断はAI: 疑いの検出は
skills/natural-japanese/scripts/lint.py（sudachipy による形態素解析）が決定的に行い、どう直すかはAIが文脈で判断する - 事後修正より生成時制約: 書いた後にAI臭を消すより、書く前の設計（読者・主メッセージ・見出しスケルトン）と書くときの制約（
skills/natural-japanese/references/writing-constitution.mdの文体憲法12箇条）で発生自体を防ぐ
文書タイプ別の型は skills/natural-japanese/references/doctypes/、詳しい工程は SKILL.md を参照してください。
openskills 経由で読み込む場合
npx openskills install coji/natural-japanese
npx openskills sync
npx openskills sync がこの AGENTS.md 配下に <available_skills> ブロックを生成し、
Claude Code 以外のエージェント（Cursor, ChatGPT, Codex 等）からもこのスキルを利用できるようにします。
検査スクリプトの実行
Python の実行は uv を前提にしています。pip install や仮想環境の手動作成は不要です。機械検査層は役割ごとに3つのエントリに分かれています。
uv run skills/natural-japanese/scripts/lint.py path/to/draft.md # 疑いの検出（--json / --genre / --baseline）
uv run skills/natural-japanese/scripts/outline.py path/to/draft.md # スケルトン抽出（構造レビューの入力）
uv run skills/natural-japanese/scripts/terms.py path/to/draft.md # 専門用語の初出・説明有無の一覧
依存関係（sudachipy, sudachidict-core）は各スクリプト冒頭の PEP 723 インラインメタデータで宣言されているため、
uv run が自動的に解決します。共有基盤は skills/natural-japanese/scripts/textcore.py にまとまっています。
What this file has done since we first saw it
Hashed on every crawl. A supply-chain change to an agent config is a question of when, not whether, so the history is kept rather than the latest state alone.
- 2d ago Changed · -3 tokens per session 67d11beccc00
- 8d ago First seen · 39 lines · 760 tokens per session scan A 5b5292cab6ff
natural-japanese AGENTS.md is an instructions file published in the GitHub repository coji/natural-japanese (983 stars, last pushed 3d ago), licensed MIT. It adds 757 tokens to every session, about $0.0038 per session on Opus 5. A static security scan graded it A with 0 findings. No closer match exists in the catalogue, so it is treated as the original; first seen 2026-08-30.
Other instructions, from other repositories
codex AGENTS.md
AGENTS.md instructions for openai/codex, covering rust/codex-rs, the codex-core crate, code review rules, crate api surface and model visible context.
vscode buildNext.instructions.md
Working notes and architecture documentation for the new esbuild-based build system in build/next. Use when making changes to the new build pipeline (transpile/bundle commands, NLS plugin, source-map handling, resource copying, or self-hosting watch tasks).
next.js AGENTS.md
AGENTS.md instructions for vercel/next.js, covering next.js development guide, codebase structure, monorepo overview, core package: packages/next and other important packages.
langchain AGENTS.md
AGENTS.md instructions for langchain-ai/langchain, covering global development guidelines for the langchain monorepo, corridor security analysis, project architecture and context, monorepo structure and development tools & commands.
vscode oss-third-party-notices.instructions.md
Instructions for microsoft/vscode, covering vs code oss third-party-notices pipeline, architecture, pipeline flow in ci, applying the notice (cutover) and fallback chain (never fail the build).
spec-kit AGENTS.md
AGENTS.md instructions for github/spec-kit, covering agents.md, about spec kit and specify, quickstart — add a new integration in 5 steps, integration architecture and integrationmanifest — file tracking.