Borrowing it
Nothing to install: this file belongs to kanazawazawa/copilot-agent-workspace. 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/kanazawazawa/copilot-agent-workspace/master/.github/skills/document-writer/SKILL.mdgit clone --depth 1 https://github.com/kanazawazawa/copilot-agent-workspaceWrote 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/kanazawazawa/copilot-agent-workspace/document-writer)<a href="https://agentmods.dev/skills/kanazawazawa/copilot-agent-workspace/document-writer"><img src="https://agentmods.dev/badge/skills/kanazawazawa/copilot-agent-workspace/document-writer.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 | $0.00061 | $0.00947 |
| Opus 5 | $0.00030 | $0.00474 |
| Sonnet 5 | $0.00012 | $0.00189 |
| Haiku 4.5 | $0.00006 | $0.00095 |
Grade A, and why
document-writer 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 8d 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
Markdown ドキュメント作成スキル
概要
提案書・報告書・議事録などのビジネスドキュメントを Markdown で作成する。 再利用性・検索性・差分管理に優れた形式で、そのまま使える品質を目指す。
トリガーワード
- 「提案書」「報告書」「議事録」「ドキュメント作成」
- 「Word」「Markdown で書いて」「文書作成」
- 「アジェンダ」「要件定義書」「仕様書」
使用しない場合
- PPT / スライド作成（→
slide-creator） - README やコード内コメント
- API ドキュメントの自動生成
作成ワークフロー
Step 1: 要件確認
| 確認項目 | 質問 |
|---|---|
| 目的 | 何のためのドキュメント？（提案、報告、教育、共有） |
| 対象読者 | 誰が読む？（経営層、技術者、顧客、社内） |
| 分量 | 目安は？ |
| トーン | フォーマル？カジュアル？ |
Step 2: アウトライン提示
必ず内容作成の前にアウトラインを提示し、承認を得る。
Step 3: コンテンツ作成
承認後、セクションごとに内容を作成する。
ドキュメント種別テンプレート
提案書
- エグゼクティブサマリー
- 現状の課題
- 提案するソリューション
- 期待される効果（定量＋定性）
- 実施スケジュール
- 概算費用
- 体制・サポート
- 次のステップ
技術調査報告
- 調査の目的
- 調査範囲と手法
- 調査結果（サマリー）
- 詳細分析
- 比較表（該当する場合）
- 推奨事項
- 参考文献
議事録
- 会議情報（日時・参加者・目的）
- アジェンダ
- 議論内容
- 決定事項
- アクションアイテム（担当者・期限）
対象読者別の調整
| 対象 | フォーカス | 避けるべきこと |
|---|---|---|
| 経営層 | ビジネスインパクト、ROI、リスク | 技術詳細、専門用語 |
| 技術者 | アーキテクチャ、実装、選定理由 | 曖昧な表現、マーケ用語 |
| 顧客 | 課題解決、具体的なメリット | 自社都合の話 |
図表の使い方
- Mermaid ダイアグラムを積極的に使う（フローチャート、シーケンス図、ガントチャート）
- 比較は Markdown テーブルで
- 数字は表やリストで視覚的に整理する
出力ルール
保存先
output/documents/YYYY-MM-DD_HHmmss_ドキュメント名/document.md
品質基準
- 日本語で作成する
- そのまま使える品質を目指す
- 具体的な数字・事実を優先する（「多くの」ではなく「80%の」）
- ドキュメントの最後に情報源一覧を入れる
- 既存ファイルは絶対に上書き・削除しない
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.
- 8d ago First seen · 114 lines · 61 tokens per session scan A 9791bb90f0df
document-writer is a skill published in the GitHub repository kanazawazawa/copilot-agent-workspace (5 stars, last pushed 3mo ago), licensed MIT. It adds 61 tokens to every session and 947 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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