Getting it into your agent
One page per mod, every tool's command on it. A separate URL per tool would split the same page into five that compete with each other.
npx skills add eaglesakura/agent-skills --skill flutter-layered-architecture-designgit clone --depth 1 https://github.com/eaglesakura/agent-skillsWrote 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/skills/eaglesakura/agent-skills/flutter-layered-architecture-design)<a href="https://agentmods.dev/skills/eaglesakura/agent-skills/flutter-layered-architecture-design"><img src="https://agentmods.dev/badge/skills/eaglesakura/agent-skills/flutter-layered-architecture-design/github.svg" alt="Measured on agentmods" height="20"></a>Or the 80×15 button, for a site that already has a row of RSS and ATOM ones. Only the verdict fits; the numbers stay here.
<a href="https://agentmods.dev/skills/eaglesakura/agent-skills/flutter-layered-architecture-design"><img src="https://agentmods.dev/badge/skills/eaglesakura/agent-skills/flutter-layered-architecture-design.svg" alt="Reviewed on agentmods" width="80" 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 | $0.00192 | $0.01668 |
| Opus 5.5 | $0.00077 | $0.00667 |
| Sonnet 5.5 | $0.00038 | $0.00334 |
| Haiku 4.5 | $0.00019 | $0.00167 |
Grade A, and why
flutter-layered-architecture-design 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 2mo 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.
How it starts
The opening of the file, as written. The whole thing — 120 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Flutter-Layered-Architecture / 設計
モノリスを dart workspace で分割し、上位が下位に依存する複数レイヤーで責務を分離する。
テスタビリティと保守性のため、レイヤー境界と DI を守る。
詳細は文脈に応じて references/ を追加ロードする（本 SKILL は地図と原則）。
いつ使うか
- 機能をどのレイヤー／package プレフィックスに置くか決めるとき
- 依存方向・DI（interface / impl / Riverpod）の設計判断
- 「処理は Usecase」「データ抽象は Repository（data）」の整理
- 詳細設計・実装の前にアーキテクチャ前提を揃えるとき
いつ使わないか
- Usecase / Repository の Request&Result 等の 実装パターン詳細 →
flutter-layered-architecture-design-patterns - 画面の MVVM 実装手順 →
flutter-layered-architecture-screen-mvvm - 既存コードの所在調査 →
flutter-layered-architecture-code-search - Dart のコーディング規約だけ →
flutter-coding-rules - レイヤー非依存の汎用詳細設計ドキュメント化だけ（本アーキテクチャ前提が不要なとき）
作業手順
- 要求がどのレイヤー責務かを、下表で特定する
- 依存は 上位 → 下位 のみ（同レベルでも循環クラス参照を作らない）
- package は interface と実装を分け、Riverpod で結ぶ
- 細部が必要なら該当
references/を読む
レイヤー一覧
| レイヤー名 | package 名プレフィックス | レベル | 役割 |
|---|---|---|---|
| app | app |
7 | アプリケーション起動・DI 統合 |
| screen | screen_* |
6 | 各画面（MVVM） |
| view | view_* |
5 | 再利用 UI（Widget 等） |
| usecase | usecase_* |
4 | ビジネスロジック |
| data | data_* |
4 | データ Read/Write（Repository 等） |
| infra | infra_* |
3 | OS／実機差の吸収 |
| domain | domain_* |
2 | アプリドメイン |
| foundation | foundation_* |
1 | DI 等の実行基盤 |
| testing | testing_* |
- | テスト支援（レベル外） |
- レベルが低いほど基盤。上位は下位に依存し、下位は上位に依存しない
- usecase と data は同レベル。相互の インターフェース 依存は認めうるが、クラス循環は避ける（詳細は design-patterns）
Dependency Injection
- 結合には riverpod を使う
- 各関心は
abstract interface class（公開）と実装class（別 package）に分ける- 循環参照防止と実装隠蔽のため
- テストではテスト専用 package／オーバーライドで差し替える
詳細・DependencyBuilder・package 分割例 → references/dependency-injection.md
実装例 → references/example/dependency_builder.md / test_context_extensions.md
ビジネスロジック（Usecase）の考え方
このアーキテクチャでは アプリに関連する処理はすべてビジネスロジック（Usecase） と捉える。
- 共通 Usecase
- data 層の
Repository（読み書き抽象） - 冪等（フォーマッタ、分類器など）／非冪等（API・Repository アクセスを含む処理）
- data 層の
- 画面固有 Usecase
- 冪等／非冪等（画面ステート更新、リロード、エラー処理の共通化など）
What ships with it
5 files beside SKILL.md in the same directory: the scripts, references and assets a skill reads on demand. Not counted in the per-session cost; read them before you install if any of them is executable.
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.
- 2mo ago First seen · 120 lines · 192 tokens per session scan A 7e7d2ee585f1
flutter-layered-architecture-design is a skill published in the GitHub repository eaglesakura/agent-skills (2 stars, last pushed 1mo ago), licensed MIT. It adds 192 tokens to every session and 1,668 once invoked, about $0.0008 per session on Opus 5.5. 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 2026-08-31.
flutter-layered-architecture-design compared with skills from other repositories
| Mod | Type | Stars | Last push | Licence | Scan | Tokens | Works with |
|---|---|---|---|---|---|---|---|
| flutter-layered-architecture-designeaglesakura/agent-skills | Skill | 2 | 1mo ago | MIT | A | 192 | Claude Code, Codex |
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| dogfoodcallstack/agent-device | Skill | 5.3k | today | MIT | A | 55 | Claude Code |
| winapp-mauimicrosoft/winappCli | Skill | 1.4k | today | MIT | A | 68 | Claude Code |
| app_remixrome-os/rome | Skill | 894 | today | MIT | A | 50 | Claude Code, Codex |