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.
curl -O https://raw.githubusercontent.com/timothywarner-org/ab100/main/AGENTS.mdgit clone --depth 1 https://github.com/timothywarner-org/ab100Wrote 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.
[](https://agentmods.dev/instructions/timothywarner-org/ab100/agents-md)<a href="https://agentmods.dev/instructions/timothywarner-org/ab100/agents-md"><img src="https://agentmods.dev/badge/instructions/timothywarner-org/ab100/agents-md/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.
<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="Reviewed on agentmods" width="80" height="20"></a>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 | $0.01542 | $0.01542 |
| Opus 5.5 | $0.00617 | $0.00617 |
| Sonnet 5.5 | $0.00308 | $0.00308 |
| Haiku 4.5 | $0.00154 | $0.00154 |
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 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.
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:
docs/ab100-exam-objectives.md-- canonical AB-100 skills measured.docs/microsoft-certification-policies.mdanddocs/pearson-vue-registration.md-- exam policy, registration, and support facts.src/README.md-- canonical POC app architecture, setup, verification, and teardown flow.docs/course-plan-april-2026.md-- canonical 4-hour live course pacing.- 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.
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 · 167 lines · 1,542 tokens per session scan A 36878b43d689
ab100 AGENTS.md is an instructions file published in the GitHub repository timothywarner-org/ab100 (40 stars, last pushed 1mo ago), licensed MIT. It adds 1,542 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.
ab100 AGENTS.md compared with instructions from other repositories
| Mod | Type | Stars | Last push | Licence | Scan | Tokens | Works with |
|---|---|---|---|---|---|---|---|
| ab100 AGENTS.mdtimothywarner-org/ab100 | Instructions file | 40 | 1mo ago | MIT | A | 1,542 | Codex, OpenCode |
| 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 |