An interactive practice-question command for the AB-100 exam. It first shows one multiple-choice question and waits for your answer, then explains the choices and links to Microsoft Learn.

Use it to study the AB-100 Plan, Design, or Deploy areas with one original question at a time.

It lets you practise exam-style decisions without revealing the answer before you respond. The question can be targeted by topic, objective, difficulty, and thinking level.

How timothywarner-org/ab100 configures Claude Code and 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/prompts/ab100-quiz.prompt.md

Clone the repo

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

Made for: Claude Code, 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/commands/timothywarner-org/ab100/ab100-quiz/github.svg)](https://agentmods.dev/commands/timothywarner-org/ab100/ab100-quiz)

Your own site

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

Per session 18 Only the description is in the session, so the agent can decide to use it. The body loads when it is invoked.

When invoked 235 The whole file, excluding the scripts and references it only reads on demand.

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	$0.00018	$0.00235
Opus 5.5	$0.00007	$0.00094
Sonnet 5.5	$0.00004	$0.00047
Haiku 4.5	$0.00002	$0.00023

Measured 1mo ago against content hash 7971646b9e4c, method: parsed. Prices are Anthropic first-party input rates as of 2026-10-07, from the pricing page.

Security

Grade A, and why

ab100-quiz 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 1mo 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/prompts/ab100-quiz.prompt.md · 28 lines

What it actually says

AB-100 Quiz

Generate ONE original AB-100 practice question.

Use the ab100-item-creator skill for structure, WWL style, randomization, and the Phase 1 / Phase 2 interactive flow.

Inputs

Domain: ${input:domain:Plan | Design | Deploy (blank = agent picks)}
Objective: ${input:objective:specific objective line (optional)}
Bloom: ${input:bloom:Remember | Understand | Apply | Analyze | Evaluate}
Difficulty: ${input:difficulty:easy | medium | hard}

Reminders

Phase 1: stem + choices only, then stop and wait.
Phase 2 (after the user answers): result, 2-sentence rationale per choice, Microsoft Learn URLs.
Randomize the correct letter and the WWL-approved fictional company.

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.

1mo ago First seen · 28 lines · 18 tokens per session scan A 7971646b9e4c

Subscribe to this mod's changes

ab100-quiz is a command published in the GitHub repository timothywarner-org/ab100 (40 stars, last pushed 1mo ago), licensed MIT. It adds 18 tokens to every session and 235 once invoked, about $0.0001 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 2026-09-20.

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

ab100-quiz next to 6 commands from other repositories
Mod	Type	Stars	Last push	Licence	Scan	Tokens	Works with
ab100-quiztimothywarner-org/ab100	Command	40	1mo ago	MIT	A	18	Claude Code, GitHub Copilot
ab900-practice-questiontimothywarner-org/ab900	Command	29	10d ago	MIT	A	27	Claude Code, GitHub Copilot
ab900-scenario-walkthroughtimothywarner-org/ab900	Command	29	10d ago	MIT	A	45	Claude Code, GitHub Copilot
ab900-study-plannertimothywarner-org/ab900	Command	29	10d ago	MIT	A	25	Claude Code, GitHub Copilot
default-ai-reviewrjmurillo/ai-agents	Command	49	yesterday	MIT	A	0	GitHub Copilot
spec-trace-requirementsrjmurillo/ai-agents	Command	49	yesterday	MIT	A	0	GitHub Copilot
merge-conflict-analysisrjmurillo/ai-agents	Command	49	yesterday	MIT	A	0	GitHub Copilot

ab100: Command for Claude Code