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/AGENTS.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/instructions/kanazawazawa/copilot-agent-workspace/agents-md)<a href="https://agentmods.dev/instructions/kanazawazawa/copilot-agent-workspace/agents-md"><img src="https://agentmods.dev/badge/instructions/kanazawazawa/copilot-agent-workspace/agents-md.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 | $0.02421 | $0.02421 |
| Opus 5 | $0.01210 | $0.01210 |
| Sonnet 5 | $0.00484 | $0.00484 |
| Haiku 4.5 | $0.00242 | $0.00242 |
Grade A, and why
copilot-agent-workspace AGENTS.md 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 6d 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 — 196 lines — stays where its author put it; the contents beside it link to each section on GitHub.
AGENTS.md — Copilot エージェント環境
GitHub Copilot を「調査アシスタント&ドキュメント作成パートナー」として 活用するためのエージェント環境です。
プロジェクト概要
├── .github/
│ ├── copilot-instructions.md # Copilot 全体に適用される共通ルール
│ ├── skills/ # タスク別の専門知識パッケージ
│ │ ├── ms-learn-research/ # MS Learn 調査スキル
│ │ ├── customer-research/ # 顧客情報調査スキル
│ │ ├── slide-creator/ # SVGスライド→PPTX変換
│ │ └── document-writer/ # Markdown ドキュメント作成
│ └── instructions/ # ファイルパターン別のルール
├── .vscode/
│ └── mcp.json # MCP サーバー設定
├── output/ # ← 成果物の出力先(※後述)
│ ├── research/ # 調査結果
│ ├── documents/ # 提案書・報告書
│ ├── slides/ # SVG スライド + PPTX
│ └── customers/ # 顧客調査
├── src/ # ソースコード(SDK Runner, SVG→PPTX 変換)
├── AGENTS.md # ← このファイル(全体方針)
└── README.md # セットアップガイド
出力ディレクトリ構造とファイル命名規則
ディレクトリ構造
すべての成果物は output/ 配下に種類別で保存する。
output/
├── research/ # 調査結果(MS Learn、技術調査)
│ └── YYYY-MM-DD_HHmmss_テーマ名/
│ └── report.md # 調査結果本体
├── customers/ # 顧客情報調査
│ └── 企業名/
│ ├── profile.md # 最新の企業概要
│ └── YYYY-MM-DD_HHmmss_調査テーマ.md
├── documents/ # 提案書・報告書・議事録
│ └── YYYY-MM-DD_HHmmss_ドキュメント名/
│ └── document.md # ドキュメント本体
└── slides/ # SVG スライド → PPTX
└── YYYY-MM-DD_HHmmss_スライド名/
├── slide01.svg
├── slide02.svg
├── ...
└── YYYY-MM-DD_スライド名.pptx # 変換後の PPTX(自動命名)
ファイル命名規則
| ルール | 例 |
|---|---|
日時プレフィックス YYYY-MM-DD_HHmmss |
2026-03-03_143052_cosmos-db-比較/ |
| 日本語OK(スペースは使わない) | 顧客A_初回提案.md ○ / 顧客A 初回提案.md ✗ |
区切りはハイフン - またはアンダースコア _ |
azure-functions_料金比較.md |
| 主要ファイルは用途別の名前にする | report.md(調査)/ profile.md(顧客)/ document.md(提案書等) |
SVG は slide01.svg 〜 連番 |
slide01.svg, slide02.svg, ... |
| PPTX はフォルダ名から自動命名 | 2026-03-03_テーマ名.pptx(-o で上書き可) |
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.
- 6d ago First seen · 196 lines · 2,421 tokens per session scan A 998a4e4f9158
copilot-agent-workspace AGENTS.md is an instructions file published in the GitHub repository kanazawazawa/copilot-agent-workspace (5 stars, last pushed 3mo ago), licensed MIT. It adds 2,421 tokens to every session, about $0.0121 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.
Other instructions, from other repositories
next.js AGENTS.md
AGENTS.md instructions for vercel/next.js, covering next.js development guide, codebase structure, monorepo overview, core package: packages/next and other important packages.
codex AGENTS.md
AGENTS.md instructions for openai/codex, covering rust/codex-rs, the codex-core crate, code review rules, crate api surface and model visible context.
vscode buildNext.instructions.md
Working notes and architecture documentation for the new esbuild-based build system in build/next. Use when making changes to the new build pipeline (transpile/bundle commands, NLS plugin, source-map handling, resource copying, or self-hosting watch tasks).
vscode oss-third-party-notices.instructions.md
Instructions for microsoft/vscode, covering vs code oss third-party-notices pipeline, architecture, pipeline flow in ci, applying the notice (cutover) and fallback chain (never fail the build).
langchain AGENTS.md
AGENTS.md instructions for langchain-ai/langchain, covering global development guidelines for the langchain monorepo, corridor security analysis, project architecture and context, monorepo structure and development tools & commands.
spec-kit AGENTS.md
AGENTS.md instructions for github/spec-kit, covering agents.md, about spec kit and specify, quickstart — add a new integration in 5 steps, integration architecture and integrationmanifest — file tracking.