copilot-agent-workspace markdown-quality.instructions.md

copilot-agent-workspace markdown-quality.instructions.md is an instructions file for GitHub Copilot from kanazawazawa/copilot-agent-workspace. It costs 320 tokens per session, scanned A, original, MIT.

Instructions for producing consistent, readable Markdown documents, including heading levels, lists, tables, diagrams, and links.

In plain words
What is it for?
Use them when writing Markdown with structured headings, grouped lists, comparison tables, Mermaid diagrams, or descriptive external links.
Why use it?
They reduce formatting problems and make technical documents easier to scan and maintain.

Instructions file for GitHub Copilot

Install

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.

agentmods
npx agentmods add instructions/kanazawazawa/copilot-agent-workspace/markdown-quality
Clone the repo
git clone --depth 1 https://github.com/kanazawazawa/copilot-agent-workspace

Made for: GitHub Copilot.

Wrote 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.

agentmods badge for copilot-agent-workspace markdown-quality.instructions.md

README.md
[![agentmods](https://agentmods.dev/badge/instructions/kanazawazawa/copilot-agent-workspace/markdown-quality.svg)](https://agentmods.dev/instructions/kanazawazawa/copilot-agent-workspace/markdown-quality)
Your own site
<a href="https://agentmods.dev/instructions/kanazawazawa/copilot-agent-workspace/markdown-quality"><img src="https://agentmods.dev/badge/instructions/kanazawazawa/copilot-agent-workspace/markdown-quality.svg" alt="Measured on agentmods" height="20"></a>
Per session 320 This file is loaded in full into every session.
When invoked 320 The same file — it is already loaded in full.
Security scan A 0 findings. Scan, not verified.
Origin original No closer match found in the catalogue.
Token cost

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.

ModelPer sessionOnce invoked
Fable 5.1 $0.00320 $0.00320
Opus 5 $0.00160 $0.00160
Sonnet 5 $0.00064 $0.00064
Haiku 4.5 $0.00032 $0.00032

Measured 5d ago against content hash bb968ccc6abf, method: parsed. Prices are Anthropic first-party input rates as of 2026-09-05, from the pricing page.

Security

Grade A, and why

copilot-agent-workspace markdown-quality.instructions.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 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.

.github/instructions/markdown-quality.instructions.md · 36 lines

What it actually says

Markdown ドキュメント品質基準

構造ルール

  • 見出しレベルは飛ばさない(h1 → h2 → h3)
  • 1つのドキュメントに h1 は1つだけ
  • セクション間に空行を入れる

箇条書き

  • ネストは最大3レベルまで
  • 各項目は同じ品詞で始める(体言止め or 動詞始まり)
  • 5項目を超える場合はグルーピングを検討

テーブル

  • 比較情報は箇条書きよりテーブルを優先する
  • ヘッダー行を必ず含める
  • セルの内容は簡潔に

Mermaid ダイアグラム

  • プロセスフロー、アーキテクチャ、シーケンスは Mermaid で表現
  • ダイアグラムの前後に説明文を添える
  • ノード名は日本語 OK

リンク

  • 外部リンクには説明文をつける: [公式ドキュメント](URL)
  • 壊れたリンクに注意する
Changes

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.

  1. 5d ago First seen · 36 lines · 320 tokens per session scan A bb968ccc6abf

Subscribe to this mod's changes

copilot-agent-workspace markdown-quality.instructions.md is an instructions file published in the GitHub repository kanazawazawa/copilot-agent-workspace (5 stars, last pushed 3mo ago), licensed MIT. It adds 320 tokens to every session, about $0.0016 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.

Related

Other instructions, from other repositories

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.

openai/codex · 5,182 tokens

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).

microsoft/vscode · 6,785 tokens

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.

github/spec-kit · 7,104 tokens

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.

vercel/next.js · 7,296 tokens

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.

langchain-ai/langchain · 4,469 tokens

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).

microsoft/vscode · 5,001 tokens