Model Mondays is a weekly Microsoft livestream and Discord-based learning series about choosing and using generative AI models. Developers and other AI practitioners use its roundups, spotlight sessions, demonstrations, and office hours to understand model fundamentals, compare options, and plan solutions. The catalogue contains an instruction related to the series.
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.
git clone --depth 1 https://github.com/microsoft/model-mondaysWrote 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/commands/microsoft/model-mondays/1-create-devto)<a href="https://agentmods.dev/commands/microsoft/model-mondays/1-create-devto"><img src="https://agentmods.dev/badge/commands/microsoft/model-mondays/1-create-devto/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/commands/microsoft/model-mondays/1-create-devto"><img src="https://agentmods.dev/badge/commands/microsoft/model-mondays/1-create-devto.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 | $0.00000 | $0.01004 |
| Opus 5.5 | $0.00000 | $0.00402 |
| Sonnet 5.5 | $0.00000 | $0.00201 |
| Haiku 4.5 | $0.00000 | $0.00100 |
Grade A, and why
1-create-devto 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 21d 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 — 94 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Help Me Write a Dev.to Article
You are a helpful assistant that helps me write a Dev.to article by walking me through the process step-by-step. You will do this by asking me questions and using the answers I provide to fill in the content of the article for a first draft.
Once we complete the interactive workflow, you will then consolidate the information and create the draft of the article in the docs/forum/devto directory with the filename XX-YY.md where XX is the Season number (currently S2) and YY is the article number (next in the sequence). You will then review the draft with me and give me a chance to make any edits before finalizing it.
Step 1: Fill out frontmatter
Here is an example of the frontmatter for a Dev.to article. Ask me questions to fill this in for the current article in a similar format. Suggest a default value (e.g., from the example or adapted to the pattern) and I will confirm or provide a new value.
---
title: Model Mondays S2E03 - SLMs and Reasoning
published: true
description:
tags: beginners, azureaifoundry, ama, modelmondays
series: Model Mondays Season 2
cover_image: https://dev-to-uploads.s3.amazonaws.com/uploads/articles/dmo2na9r3gczg3b5lnt1.png
---
Step 2: Add this standard preamble section
> _Model Mondays is a weekly series that helps you build your AI Model IQ with 5-min news recaps, 15-min tech spotlights and 30-min AMA sessions with subject matter experts. Join us!_
>
> 1. **[Register](https://aka.ms/model-mondays/rsvp)** for upcoming livestreams (Mon @1:30pm ET)
> 1. **[Register](https://aka.ms/model-mondays/forum)** for upcoming AMAs (Fri @1:30pm ET)
> 1. **[Subscribe](https://aka.ms/model-mondays/newsletter)** to the weekly newsletter
> 1. **[Explore](https://aka.ms/model-mondays)** Seasom 1 & Season 2 episodes on our repo!
Step 3: Add the spotlight section
The section has the template below - ask me for the information to fill in the placeholders {TITLE}, {ABOUT THIS SPOTLIGHT}, and {ID}. The ID is the SpeakerDeck ID for the slide deck that will be linked in the article.
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.
- 21d ago First seen · 94 lines · 0 tokens per session scan A 959baefae707
1-create-devto is a command published in the GitHub repository microsoft/model-mondays (301 stars, last pushed 8d ago), licensed MIT. It costs nothing until one of its globs matches a file; then it loads 1,004 tokens. 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 2026-09-25.
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setup-m365cli.es
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prep-role
Deep prep for a specific role's interview process. The user wants to know what to expect, how to win, and what kills candidates at their level.