ab100 AGENTS.md

ab100 AGENTS.md is an instructions file for Codex, OpenCode from timothywarner-org/ab100. It costs 1,542 tokens per session, scanned A, original, MIT.

Repository instructions for an educational project that teaches Microsoft’s AB-100 certification topics. It describes the project’s documentation, classroom sample application, coding-agent files, and which files are authoritative when information conflicts.

In plain words
What is it for?
Use it when editing the course documents, Copilot agent and skill files, or the classroom sample application.
Why use it?
It gives an AI coding assistant the project’s purpose and rules so changes support the course and use the correct source material.

Instructions file for CodexOpenCode

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/timothywarner-org/ab100/agents-md
Clone the repo
git clone --depth 1 https://github.com/timothywarner-org/ab100

Made for: Codex, OpenCode.

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 ab100 AGENTS.md

README.md
[![agentmods](https://agentmods.dev/badge/instructions/timothywarner-org/ab100/agents-md.svg)](https://agentmods.dev/instructions/timothywarner-org/ab100/agents-md)
Your own site
<a href="https://agentmods.dev/instructions/timothywarner-org/ab100/agents-md"><img src="https://agentmods.dev/badge/instructions/timothywarner-org/ab100/agents-md.svg" alt="Measured on agentmods" height="20"></a>
Per session 1,542 This file is loaded in full into every session.
When invoked 1,542 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 $0.01542 $0.01542
Opus 5 $0.00771 $0.00771
Sonnet 5 $0.00308 $0.00308
Haiku 4.5 $0.00154 $0.00154

Measured 3d ago against content hash 36878b43d689, method: parsed. Prices are Anthropic first-party input rates as of 2026-08-30, from the pricing page.

Security

Grade A, and why

ab100 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 3d 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.

AGENTS.md · 167 lines

How it starts

The opening of the file, as written. The whole thing — 167 lines — stays where its author put it; the contents beside it link to each section on GitHub.

AGENTS.md

This file gives Codex and other coding agents repository-specific guidance.

Repository Purpose

This is Tim Warner's teaching and learning repository for AB-100: Agentic AI Business Solutions Architect. It supports an O'Reilly Live Learning event scheduled for April 30, 2026 and serves two audiences:

  • Learners preparing for Microsoft exam AB-100.
  • Instructor delivery for a 4-hour O'Reilly Live Events class.

The repo has three major work areas:

  • docs/ -- canonical instructional, exam, policy, resource, and slide-deck material.
  • .github/ and .vscode/ -- AB-100 Cert Buddy Copilot agent, skills, prompts, and Microsoft Learn MCP config.
  • src/ -- classroom POC app and deployment assets for Hour 3.

Source Of Truth

Use this precedence when facts conflict:

  1. docs/ab100-exam-objectives.md -- canonical AB-100 skills measured.
  2. docs/microsoft-certification-policies.md and docs/pearson-vue-registration.md -- exam policy, registration, and support facts.
  3. src/README.md -- canonical POC app architecture, setup, verification, and teardown flow.
  4. docs/course-plan-april-2026.md -- canonical 4-hour live course pacing.
  5. Hour-specific materials and learning-path mirrors.

When editing AB-100 factual content, ground against Microsoft Learn before changing exam objectives, product behavior, licensing, or certification policy. If the fact cannot be verified, say so or omit it.

Course Structure

Microsoft publishes three AB-100 domains:

  • Plan AI-powered business solutions: 25-30%.
  • Design AI-powered business solutions: 25-30%.
  • Deploy AI-powered business solutions: 40-45%.

This course deliberately splits the Deploy domain across two hours:

  • Hour 1: Plan AI Solutions.
  • Hour 2: Design AI Solutions.
  • Hour 3: Deploy AI Solutions -- implementation, monitoring, ALM, and operations.
  • Hour 4: Security & Exam Mastery -- security, governance, Responsible AI, and exam readiness.

Do not "correct" the course to a three-hour or three-module split.

Read the full file on GitHub · 167 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. 3d ago First seen · 167 lines · 1,542 tokens per session scan A 36878b43d689

Subscribe to this mod's changes

ab100 AGENTS.md is an instructions file published in the GitHub repository timothywarner-org/ab100 (37 stars, last pushed 1mo ago), licensed MIT. It adds 1,542 tokens to every session, about $0.0077 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.