What is ab100 copilot-instructions.md?

Instructions for GitHub Copilot agents and skills in a project supporting Microsoft’s AB-100 certification course. They define where agents, skills, prompts, objectives, and workspace tool settings live, along with naming and writing conventions.

Use them when creating or editing the AB-100 agent, skills, quiz and lab prompts, or workspace MCP settings.

They help contributors place and format automation files correctly and keep course content aligned with its canonical objectives.

How timothywarner-org/ab100 configures GitHub Copilot

Reuse

Borrowing it

Nothing to install: this file belongs to timothywarner-org/ab100. Take a copy, put it at the same path in your own repository, and replace the rules that are about this project with yours.

Copy the file

curl -O https://raw.githubusercontent.com/timothywarner-org/ab100/main/.github/copilot-instructions.md

Clone the repo

git clone --depth 1 https://github.com/timothywarner-org/ab100

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.

README.md

[![agentmods](https://agentmods.dev/badge/instructions/timothywarner-org/ab100/copilot-instructions/github.svg)](https://agentmods.dev/instructions/timothywarner-org/ab100/copilot-instructions)

Your own site

<a href="https://agentmods.dev/instructions/timothywarner-org/ab100/copilot-instructions"><img src="https://agentmods.dev/badge/instructions/timothywarner-org/ab100/copilot-instructions/github.svg" alt="Measured on agentmods" height="20"></a>

Or the 80×15 button, for a site that already has a row of RSS and ATOM ones. Only the verdict fits; the numbers stay here.

Your own site · 80×15

<a href="https://agentmods.dev/instructions/timothywarner-org/ab100/copilot-instructions"><img src="https://agentmods.dev/badge/instructions/timothywarner-org/ab100/copilot-instructions.svg" alt="Reviewed on agentmods" width="80" height="20"></a>

Per session 1,548 This file is loaded in full into every session.

When invoked 1,548 The same file — it is already loaded in full.

Security scan A 0 findings. A grade says what 26 rules found in the file — not that it is safe.

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.

Model	Per session	Once invoked
Fable 5.1	$0.01548	$0.01548
Opus 5.5	$0.00619	$0.00619
Sonnet 5.5	$0.00310	$0.00310
Haiku 4.5	$0.00155	$0.00155

Measured 2mo ago against content hash 7d6b536b4be5, method: parsed. Prices are Anthropic first-party input rates as of 2026-10-07, from the pricing page.

Security

Grade A, and why

ab100 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 2mo 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 · 93 lines

How it starts

The opening of the file, as written. The whole thing — 93 lines — stays where its author put it; the contents beside it link to each section on GitHub.

Copilot instructions

Repository purpose

This repo defines GitHub Copilot agent behavior and AB-100 skills. There is no app code; the primary artifacts are agent definitions and skill specs.
This repo also serves as the companion material for Tim Warner's O'Reilly Live Learning course Agentic AI Business Solutions Architect. The cert-buddy agent and the course scaffolding share this workspace.

Key locations

Agent definition: .github/agents/ab100-cert-buddy-agent.agent.md
Skills: .github/skills/*/SKILL.md
Prompts: .github/prompts/ab100-quiz.prompt.md, .github/prompts/ab100-lab.prompt.md, .github/prompts/ab100-plan.prompt.md
MCP servers (workspace only): .vscode/mcp.json
AB-100 objectives (canonical, verbatim Microsoft Learn sync): docs/ab100-exam-objectives.md
Style and naming rules: embedded directly in the agent and skill files (Microsoft Worldwide Learning Exam Writing Style Guide for items, Microsoft Writing Style Guide for prose).

Skill and agent conventions

Each skill file is a single YAML frontmatter block followed by Markdown.
The skill name used by agents must match the YAML frontmatter name in the skill file, not the folder name.
Skills are auto-discovered from .github/skills/ folders. The agent references them by name in its Markdown body; there is no skills: field in agent YAML frontmatter.
Agent files use YAML frontmatter with tools lists. Keep tool IDs scoped to MCP servers defined in .vscode/mcp.json.
Prompt files (in .github/prompts/) reference agents by the name field in the agent's YAML frontmatter via the agent: key. The current value is ab100-cert-buddy-agent. If the agent is renamed, update all prompt files that reference it.
Current skills:
- ab100-item-creator (exam item generation)
- ab100-lab-creator (design/ALM/governance lab generation)
- ab100-study-planner (personalized study plan generation)

MCP server IDs

ab100buddy-mslearn -- Microsoft Learn MCP (free, no API key; provides microsoft_docs_search, microsoft_docs_fetch, microsoft_code_sample_search)

Read the full file on GitHub · 93 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.

2mo ago First seen · 93 lines · 1,548 tokens per session scan A 7d6b536b4be5

Subscribe to this mod's changes

ab100 copilot-instructions.md is an instructions file published in the GitHub repository timothywarner-org/ab100 (40 stars, last pushed 1mo ago), licensed MIT. It adds 1,548 tokens to every session, about $0.0062 per session on Opus 5.5. 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.

Learning and teaching ab-100 agentic-ai copilot-agents copilot-studio exam-prep github-copilot

ab100 copilot-instructions.md next to 6 instructions from other repositories
Mod	Type	Stars	Last push	Licence	Scan	Tokens	Works with
ab100 copilot-instructions.mdtimothywarner-org/ab100	Instructions file	40	1mo ago	MIT	A	1,548	GitHub Copilot
vscode buildNext.instructions.mdmicrosoft/vscode	Instructions file	195k	yesterday	MIT	A	9,719	GitHub Copilot
next.js AGENTS.mdvercel/next.js	Instructions file	143k	yesterday	MIT	A	7,461	Codex, OpenCode
langchain AGENTS.mdlangchain-ai/langchain	Instructions file	149k	yesterday	MIT	A	4,680	Codex, OpenCode
vscode oss-third-party-notices.instructions.mdmicrosoft/vscode	Instructions file	195k	yesterday	MIT	A	5,516	GitHub Copilot
vscode copilot-instructions.mdmicrosoft/vscode	Instructions file	195k	yesterday	MIT	A	3,093	GitHub Copilot
deepseek-harness AGENTS.mddeepseek-ai/deepseek-harness	Instructions file	274k	2d ago	MIT	A	4,313	Codex, OpenCode

ab100: Instructions file for GitHub Copilot