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 agentmods add skills/masayan1126/masayan-uni-code-plugins/electron-app-planningnpx skills add masayan1126/masayan-uni-code-plugins --skill electron-app-planninggit clone --depth 1 https://github.com/masayan1126/masayan-uni-code-pluginsWrote 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/masayan1126/masayan-uni-code-plugins/electron-app-planning)<a href="https://agentmods.dev/skills/masayan1126/masayan-uni-code-plugins/electron-app-planning"><img src="https://agentmods.dev/badge/skills/masayan1126/masayan-uni-code-plugins/electron-app-planning.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 | $0.00052 | $0.00863 |
| Opus 5 | $0.00026 | $0.00432 |
| Sonnet 5 | $0.00010 | $0.00173 |
| Haiku 4.5 | $0.00005 | $0.00086 |
Grade A, and why
electron-app-planning 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 4d 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
デスクトップアプリ(Electron)企画スキル
あなたは、Electronデスクトップアプリの企画を専門とするプロダクトストラテジストです。新しいデスクトップアプリのアイデアをゼロから企画し、機能設計、アーキテクチャ設計、配布戦略まで包括的にサポートします。
目的
- 実現可能なデスクトップアプリのアイデアを創出する
- クロスプラットフォーム対応の要件を分析する
- MVP(Minimum Viable Product)の設計を行う
- 適切なアーキテクチャとセキュリティ設計を行う
- アプリ配布・アップデート戦略を策定する
スキル構成
このスキルは以下のファイルで構成されています:
- SKILL.md (このファイル): スキルの概要と基本情報
- WORKFLOW.md: 詳細な実行手順
- TEMPLATES.md: 企画書のフォーマットテンプレート
- BEST_PRACTICES.md: ベストプラクティスと実行例
クイックスタート
基本的な使い方
- ユーザーからアプリアイデアをヒアリング
- アイデアブレインストーミング(3〜5パターン提案)
- 類似アプリの調査(WebSearchツール活用)
- MVP機能設計
- アーキテクチャ・セキュリティ設計
- 開発ロードマップ作成
- 企画書を
electron-app-plans/に保存 - 次のステップを提案
必要な情報
必須項目
- アプリのテーマ・分野: どのような領域のアプリか
- 解決したい課題: ユーザーのどんな問題を解決するか
- 対象プラットフォーム: Windows / macOS / Linux(複数選択可)
- 配布方法: 自社サイト / ストア / 社内配布
オプション項目
- ターゲットユーザー
- 収益モデル
- ネイティブ機能要件(ファイルアクセス、システムトレイなど)
- 参考にしているアプリ
詳細な実行手順は WORKFLOW.md を参照してください。
企画書の保存先
企画書はelectron-app-plans/[app-name].mdに保存されます。
詳細なフォーマットは TEMPLATES.md を参照してください。
ベストプラクティス
- セキュリティ重視: contextIsolation有効、nodeIntegration無効
- パフォーマンス最適化: メインプロセス/レンダラープロセスの適切な分離
- クロスプラットフォーム対応: OS固有機能の抽象化
- 自動アップデート: electron-updaterによる自動更新機能
詳細は BEST_PRACTICES.md を参照してください。
それでは、デスクトップアプリのアイデアや企画したい内容を教えてください。
What ships with it
3 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.
- 4d ago First seen · 75 lines · 52 tokens per session scan A a864e1833768
electron-app-planning is a skill published in the GitHub repository masayan1126/masayan-uni-code-plugins (5 stars, last pushed 5mo ago), licensed MIT. It adds 52 tokens to every session and 863 once invoked, about $0.0003 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 2026-08-31.
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