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Microsoft-AI-Decision-Framework copilot-instructions.md

A project-wide instruction guide for a Microsoft AI technology decision framework. It describes a Jekyll documentation site, Markdown content, Mermaid diagrams, navigation, styling, and related project conventions.

In plain words
What is it for?
Use it when editing the project’s Jekyll site, Markdown guides, Mermaid diagrams, navigation, or custom styles.
Why use it?
It gives contributors shared rules for writing and maintaining the project. This helps keep documentation structure, diagrams, navigation, and technical examples consistent.

Instructions file for GitHub Copilot

87 6d ago A scan 5,188 tokens original MIT
View the source file microsoft/Microsoft-AI-Decision-Framework
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/microsoft/microsoft-ai-decision-framework/copilot-instructions
Clone the repo
git clone --depth 1 https://github.com/microsoft/Microsoft-AI-Decision-Framework

Made for: GitHub Copilot.

Per session 5,188 This file is loaded in full into every session.
When invoked 5,188 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 $0.05188 $0.05188
Opus 5 $0.02594 $0.02594
Sonnet 5 $0.01038 $0.01038
Haiku 4.5 $0.00519 $0.00519

Measured 2d ago against content hash 2659398511ed, method: parsed. Prices are Anthropic first-party input rates as of 2026-08-30, from the pricing page.

Security

Grade A, and why

Microsoft-AI-Decision-Framework copilot-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 2d 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/copilot-instructions.md · 325 lines

How it starts

The opening of the file, as written. The whole thing — 325 lines — stays where its author put it; the contents beside it link to each section on GitHub.

Microsoft AI Decision Tree - Copilot Instructions

Project Overview

This is a comprehensive decision framework and reference guide for navigating Microsoft's AI technology portfolio. The project helps users systematically evaluate and select the right Microsoft AI technology (M365 Copilot, Copilot Studio, Microsoft Foundry, Agent Service, SDKs, etc.) for their specific business requirements.

Primary Goal: Enable evidence-based technology selection through a structured learning journey that progresses from foundational concepts to technical mastery.

Target Audience: Technical decision-makers, architects, developers, and business stakeholders evaluating Microsoft AI technologies for enterprise use cases.

Technology Stack

  • Static Site Generator: Jekyll 4.4+ (GitHub Pages)
  • Documentation Format: Markdown (.md files)
  • Diagrams: Mermaid 11.12.1 flowcharts (embedded in Markdown, dark theme configured)
  • Navigation: Jekyll front matter with nav_order property (1-15)
  • Theme: Just the Docs (remote_theme via GitHub Pages)
  • Custom Styling: SCSS in _sass/custom/custom.scss (no Mermaid overrides; palette is owned inline in diagrams)
  • Ruby Gems: jekyll-seo-tag, jekyll-github-metadata, jekyll-include-cache, webrick
  • Deployment: GitHub Pages at https://chrismckee1.github.io/microsoft-ai-decision-tree/

Project Structure & Architecture

Documentation Organization (Core Files)

The documentation follows a progressive learning flow designed to build knowledge systematically:

  1. README.md (nav_order: 1) - Landing page with learning paths
  2. docs/capability-model.md (nav_order: 2) - Foundation - Buckets, the agent checkpoint, and how to describe behavior before naming a product
  3. docs/ai-stack.md (nav_order: 3) - Landscape - The buy-before-build ladder, five capability groupings, shared vocabulary, and the five planes
  4. docs/decision-framework.md (nav_order: 4) - Methodology - Storybook flow & 9 questions
  5. docs/scenarios.md (nav_order: 5) - Context - Real-world use cases
  6. docs/evaluation-criteria.md (nav_order: 6) - Assessment - Complexity, skills, budget, governance
  7. docs/implementation-patterns.md (nav_order: 7) - Execution - Architecture patterns
  8. docs/technologies.md (nav_order: 8) - Deep Dive - Technical specifications
  9. docs/feature-comparison.md (nav_order: 9) - Mastery - Side-by-side matrices
  10. docs/visual-framework.md (nav_order: 10) - Application - Mermaid decision tree diagrams
  11. docs/quick-reference.md (nav_order: 11) - Reference - Fast lookup tables
  12. docs/ai-instinct.md (nav_order: 12) - Companion - The human framework
  13. docs/resources.md (nav_order: 13) - Reference - External links
  14. docs/glossary.md (nav_order: 14) - Reference - Terminology
  15. docs/visual-explorer.md (nav_order: 15) - Reference - Interactive decision explorer

Read the full file on GitHub · 325 lines

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. 2d ago First seen · 325 lines · 5,188 tokens per session scan A 2659398511ed

Subscribe to this mod's changes

Microsoft-AI-Decision-Framework copilot-instructions.md is an instructions file published in the GitHub repository microsoft/Microsoft-AI-Decision-Framework (87 stars, last pushed 6d ago), licensed MIT. It adds 5,188 tokens to every session, about $0.0259 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 2026-08-30.

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