Genshijin Review logo

Genshijin Review

Organization
InterfaceX-co-jp
genshijin-review

超圧縮PRレビューコメント。1行1指摘: 位置・問題・修正。前置き削除、シグナル優先。 日本語対応。「PRレビューして」「コードレビュー」「/review」「/genshijin-review」で起動。 プルリクエストレビュー時に自動起動候補。

Overview

PublisherInterfaceX-co-jp
Repositorygenshijin
Skill namegenshijin-review
Stars
333
Forks
14
Bundled files
Instructions only
LicenseMIT
Links
  • Markdown instructions

    A SKILL.md file the model loads on demand, so it only costs tokens when a request actually matches.

  • Works with any LLM

    AI skills are plain Markdown, not provider-specific code, so this works with GPT, Claude, Gemini, Grok, or a local model.

  • Self-contained

    Everything the model needs lives in the instructions — no extra files to sync.

  • Open source

    Published by InterfaceX-co-jp on GitHub. Read the source before you install it.

Installation

Install the Genshijin Review AI skill in TypingMind to use it with any LLM, or drop it into another agent that reads SKILL.md.

1

Install in TypingMind

TypingMind installs a skill straight from its GitHub folder — it reads SKILL.md, bundles the resource files, and stores the result locally.

  1. Open the app and go to Plugins → Skills.
  2. Choose "Install from GitHub".
  3. Paste the skill folder URL below and confirm.
    https://github.com/InterfaceX-co-jp/genshijin/tree/main/skills/genshijin-review
  4. Enable the skill in any chat where you want it available.
Plugins → Skills → Add skill → From GitHub URL, then paste the folder URL and press Continue.
2

Install in another agent

Any agent that reads the Agent Skills format can use this skill — copy the folder into that agent's skills directory.

Claude Code — .claude/skills
git clone --depth 1 https://github.com/InterfaceX-co-jp/genshijin.git /tmp/genshijin
mkdir -p .claude/skills
cp -r /tmp/genshijin/skills/genshijin-review .claude/skills/genshijin-review
Restart Claude Code after copying so it picks up the new skill.

Use it in TypingMind

Enable Genshijin Review in any TypingMind chat and the model takes it from there. Its name and description sit in the system prompt, and the moment a request matches, the model loads the full instructions itself — you never invoke it by hand, and it costs no tokens until it is actually used.

The model loads Genshijin Review on its own as soon as a request matches it.

Works with any AI model

AI skills are plain Markdown instructions rather than provider-specific code, so Genshijin Review is not tied to the model it was written for. Install it once in TypingMind and use it with GPT-5, Claude, Gemini, Grok, DeepSeek, Mistral, Llama, or a local model you run yourself — all on your own API keys.

  • Loaded only when it is needed

    The system prompt carries just the name and description. The instructions are fetched on the first matching request, so an idle skill costs nothing.

  • Switch models mid-chat

    Because the skill is instructions rather than code, changing model does not break it — the next model reads the same SKILL.md.

Skill instructions

This is the SKILL.md content the model loads. Read it before installing — a skill is instructions your model will follow.

レビューコメントは簡潔かつ行動可能に。1行1指摘。位置・問題・修正。前置き禁止。

ルール

形式: L<line>: <問題>。<修正>。 — 複数ファイル時 <file>:L<line>: ...

重大度プレフィックス(混在時):

  • 🔴 バグ: — 壊れている。インシデント直結
  • 🟡 リスク: — 動くが脆い(race, null未チェック, 握り潰しerror)
  • 🔵 nit: — スタイル・命名・ミクロ最適化。著者無視可
  • ❓ 質問: — 純粋な疑問。提案ではない

削除:

  • 「〜に気づきました」「〜のように見えます」「〜を検討するとよいかもしれません」
  • 「あくまで提案ですが」→ nit: 使う
  • 「素晴らしい仕事です」「全体的には良さそうですが」— 先頭に1回だけ、個別コメント不要
  • 行の動作説明 — diff 読めば分かる
  • ぼかし(「おそらく」「たぶん」「〜と思います」)— 不確実なら 質問:

保持:

  • 正確な行番号
  • シンボル・関数名・変数名はバッククォート
  • 具体的修正(「リファクタリング検討」禁止)
  • 問題文から自明でない「なぜ」

例

❌ 「L42 で user オブジェクトが null かどうかをチェックせずに email プロパティにアクセスしているように見えます。DBで user が見つからなかった場合にクラッシュする可能性があります。null チェックを追加することを検討してみてください。」

✅ L42: 🔴 バグ: .find() 後 user null 可。.email 前にガード追加。

❌ 「この関数はいろいろやっていて、小さな関数に分割すると読みやすくなるかもしれません。」

✅ L88-140: 🔵 nit: 50行fn 4責務。validate/normalize/persist 抽出。

❌ 「APIが 429 を返した場合の処理は考慮されていますか?対応したほうがよいと思います。」

✅ L23: 🟡 リスク: 429 リトライなし。withBackoff(3) で包む。

自動明瞭化

以下は簡潔モード解除・通常の段落で記述:

  • セキュリティ指摘(CVE級は参照URL付きで十分な説明必要)
  • アーキテクチャ異論(根拠必要、ワンライナーでは不足)
  • 新人オンボーディング文脈(「なぜ」が必要)

該当指摘後 即復帰。

境界

  • レビューのみ。コード修正・approve/request-changes・linter実行 禁止
  • 出力はPR貼付可能形式
  • 「原始人レビューやめて」「通常モード」で解除

Frequently asked questions

What does the Genshijin Review AI skill do?

超圧縮PRレビューコメント。1行1指摘: 位置・問題・修正。前置き削除、シグナル優先。 日本語対応。「PRレビューして」「コードレビュー」「/review」「/genshijin-review」で起動。 プルリクエストレビュー時に自動起動候補。

Why use Genshijin Review on TypingMind?

Because you install it once and use it with any model. Genshijin Review is plain Markdown rather than provider-specific code, so the same skill runs on GPT-5, Claude, Gemini, Grok, or a local model — and you can switch model mid-chat without it breaking. TypingMind runs on your own API keys, so you pay providers directly instead of a per-seat subscription, and your skills and chats stay in your own storage.

How do I install Genshijin Review in TypingMind?

Open Plugins → Skills → Install from GitHub in TypingMind and paste https://github.com/InterfaceX-co-jp/genshijin/tree/main/skills/genshijin-review. TypingMind reads its SKILL.md and installs it as a skill you can enable per chat.

Which AI models can use Genshijin Review?

Any model you connect in TypingMind. AI skills are plain Markdown instructions rather than provider-specific code, so GPT, Claude, Gemini, Grok, and local models can all load this skill when a request matches it.

How many AI models can I use with Genshijin Review?

As many as you like. As long as a model supports skills, you can use Genshijin Review with it — GPT, Claude, Gemini, Grok, DeepSeek, Mistral, Llama and more — all on TypingMind with your own API keys.

Is the Genshijin Review AI skill free?

Yes. It is published on GitHub by InterfaceX-co-jp under the MIT license. You only pay your own AI provider for the tokens you use.

What are AI skills?

An AI skill is a reusable instruction bundle that teaches an AI model how to do one specific task. It follows the open Agent Skills format: a SKILL.md file with a name and description, plus any scripts, templates or reference files the model may need. The model reads the instructions only when your request matches the skill, so an installed skill costs nothing until it is used.

How are AI skills different from plugins or MCP servers?

A plugin or MCP server gives a model new tools to call — code that runs somewhere and returns a result. An AI skill gives the model knowledge and process instead: how to approach a task, which steps to follow, what good output looks like. Skills are plain Markdown, so they need no server, no API key and no runtime, and they work with any model.

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