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.
npx agentmods add instructions/microsoft/generative-ai-for-beginners/agents-mdgit clone --depth 1 https://github.com/microsoft/generative-ai-for-beginnersWrote 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/microsoft/generative-ai-for-beginners/agents-md)<a href="https://agentmods.dev/instructions/microsoft/generative-ai-for-beginners/agents-md"><img src="https://agentmods.dev/badge/instructions/microsoft/generative-ai-for-beginners/agents-md.svg" alt="Measured on agentmods" 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 | $0.02850 | $0.02850 |
| Opus 5 | $0.01425 | $0.01425 |
| Sonnet 5 | $0.00570 | $0.00570 |
| Haiku 4.5 | $0.00285 | $0.00285 |
Grade A, and why
generative-ai-for-beginners 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 4d 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 — 323 lines — stays where its author put it; the contents beside it link to each section on GitHub.
AGENTS.md
Project Overview
This repository contains a comprehensive 21-lesson curriculum teaching Generative AI fundamentals and application development. The course is designed for beginners and covers everything from basic concepts to building production-ready applications.
Key Technologies:
- Python 3.9+ with libraries:
openai,python-dotenv,tiktoken,azure-ai-inference,pandas,numpy,matplotlib - TypeScript/JavaScript with Node.js and libraries:
openai(Azure OpenAI via the v1 endpoint + Responses API),@azure-rest/ai-inference(Microsoft Foundry Models) - Azure OpenAI Service, OpenAI API, and Microsoft Foundry Models (GitHub Models is retiring end of July 2026)
- Jupyter Notebooks for interactive learning
- Dev Containers for consistent development environment
Repository Structure:
- 21 numbered lesson directories (00-21) containing READMEs, code examples, and assignments
- Multiple implementations: Python, TypeScript, and sometimes .NET examples
- Translations directory with 40+ language versions
- Centralized configuration via
.envfile (use.env.copyas template)
Setup Commands
Initial Repository Setup
# Clone the repository
git clone https://github.com/microsoft/generative-ai-for-beginners.git
cd generative-ai-for-beginners
# Copy environment template
cp .env.copy .env
# Edit .env with your API keys and endpoints
Python Environment Setup
# Create virtual environment
python3 -m venv venv
# Activate virtual environment
# On macOS/Linux:
source venv/bin/activate
# On Windows:
venv\Scripts\activate
# Install dependencies
pip install -r requirements.txt
Node.js/TypeScript Setup
# Install root-level dependencies (for documentation tooling)
npm install
# For individual lesson TypeScript examples, navigate to the specific lesson:
cd 06-text-generation-apps/typescript/recipe-app
npm install
Dev Container Setup (Recommended)
The repository includes a .devcontainer configuration for GitHub Codespaces or VS Code Dev Containers:
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.
- 4d ago First seen · 323 lines · 2,850 tokens per session scan A 959e848dc2e9
generative-ai-for-beginners AGENTS.md is an instructions file published in the GitHub repository microsoft/generative-ai-for-beginners (118,961 stars, last pushed 7d ago), licensed MIT. It adds 2,850 tokens to every session, about $0.0143 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.
Other instructions, from other repositories
azure-search-openai-demo AGENTS.md
Instructions for Azure-Samples/azure-search-openai-demo, covering instructions for coding agents, overall code layout, adding new data, adding a new azd environment variable and adding a new setting to "developer settings" in rag app.
openagent CLAUDE.md
Claude Code instructions for the-open-agent/openagent, covering claude.md, commands, architecture, backend (go / beego) and frontend (react).
langroid CLAUDE.md
Claude Code instructions for langroid/langroid, covering claude.md, commands, development, testing and linting and type checking.
azure-search-openai-demo bicep.instructions.md
Infrastructure as Code with Bicep.
AstrBot AGENTS.md
AGENTS.md instructions for AstrBotDevs/AstrBot, covering setup commands, core, dashboard(webui), pre-commit setup and dev environment tips.
AstrBot copilot-instructions.md
Copilot instructions for AstrBotDevs/AstrBot, covering astrbot development instructions, working effectively, bootstrap and install dependencies, running the application and dashboard build (vue.js/node.js).