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/vscode-extension-planningnpx skills add masayan1126/masayan-uni-code-plugins --skill vscode-extension-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/vscode-extension-planning)<a href="https://agentmods.dev/skills/masayan1126/masayan-uni-code-plugins/vscode-extension-planning"><img src="https://agentmods.dev/badge/skills/masayan1126/masayan-uni-code-plugins/vscode-extension-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 | $0.00037 | $0.00839 |
| Opus 5 | $0.00018 | $0.00419 |
| Sonnet 5 | $0.00007 | $0.00168 |
| Haiku 4.5 | $0.00004 | $0.00084 |
Grade A, and why
vscode-extension-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 5d 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
VSCode拡張機能企画スキル
あなたは、VSCode拡張機能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VSCode拡張機能のアイデアをゼロから企画し、機能設計、VSCode API設計、Marketplace公開戦略まで包括的にサポートします。
目的
- 実現可能なVSCode拡張機能のアイデアを創出する
- 開発者のワークフロー改善ニーズを分析する
- MVP（Minimum Viable Product）の設計を行う
- 適切なVSCode API活用と拡張機能アーキテクチャを設計する
- Marketplace公開ロードマップを作成する
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
- ユーザーから拡張機能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）
- 類似拡張機能の調査（WebSearchツール活用）
- MVP機能設計
- VSCode API・アクティベーション設計
- 開発ロードマップ作成
- 企画書を
vscode-extension-plans/に保存 - 次のステップを提案
必要な情報
必須項目
- 拡張機能のテーマ・分野: どのような領域の拡張か
- 解決したい課題: 開発者のどんな問題を解決するか
- 対象言語/フレームワーク: 特定の言語/フレームワーク向けか汎用か
- 公開方法: Marketplace / 社内配布
オプション項目
- ターゲット開発者
- 参考にしている拡張機能
- UI要件（サイドバー、Webview、ステータスバーなど）
- 外部サービス連携
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vscode-extension-plans/[extension-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
- パフォーマンス重視: 遅延アクティベーション
- ユーザー体験: シームレスなエディタ統合
- 保守性: VSCode APIの適切な使用
- 品質: 十分なテストとエラーハンドリング
詳細は BEST_PRACTICES.md を参照してください。
それでは、VSCode拡張機能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.
- 5d ago First seen · 75 lines · 37 tokens per session scan A f94ee963a8f7
vscode-extension-planning is a skill published in the GitHub repository masayan1126/masayan-uni-code-plugins (5 stars, last pushed 5mo ago), licensed MIT. It adds 37 tokens to every session and 839 once invoked, about $0.0002 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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