AI Agents for Beginners is a course that teaches the fundamentals of building AI agents through a sequence of lessons. People learning generative AI and agent development use it to study topics and frameworks including AutoGen and Semantic Kernel. The catalogue entries provide skills, instructions, and an agent related to the course.
Borrowing it
Nothing to install: this file belongs to microsoft/ai-agents-for-beginners. 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/microsoft/ai-agents-for-beginners/main/.agents/skills/microsoft-docs/SKILL.mdgit clone --depth 1 https://github.com/microsoft/ai-agents-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/skills/microsoft/ai-agents-for-beginners/microsoft-docs)<a href="https://agentmods.dev/skills/microsoft/ai-agents-for-beginners/microsoft-docs"><img src="https://agentmods.dev/badge/skills/microsoft/ai-agents-for-beginners/microsoft-docs/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/skills/microsoft/ai-agents-for-beginners/microsoft-docs"><img src="https://agentmods.dev/badge/skills/microsoft/ai-agents-for-beginners/microsoft-docs.svg" alt="Reviewed on agentmods" width="80" height="20"></a>- Snyk pass
- NVIDIA SkillSpector pass
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 | $0.00061 | $0.01129 |
| Opus 5.5 | $0.00024 | $0.00452 |
| Sonnet 5.5 | $0.00012 | $0.00226 |
| Haiku 4.5 | $0.00006 | $0.00113 |
Grade A, and why
microsoft-docs 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 13d 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.
Copies of this mod
1 near-identical copy found in the catalogue:
- microsoft-docs — 91% identical, 76 lines differ
How it starts
The opening of the file, as written. The whole thing — 114 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Microsoft Docs
Research skill for the Microsoft technology ecosystem. Covers learn.microsoft.com and documentation that lives outside it (VS Code, GitHub, Aspire, Agent Framework repos).
Default: Microsoft Learn MCP
Use these tools for everything on learn.microsoft.com — Azure, .NET, M365, Power Platform, Agent Framework, Semantic Kernel, Windows, and more. This is the primary tool for the vast majority of Microsoft documentation queries.
| Tool | Purpose |
|---|---|
microsoft_docs_search |
Search learn.microsoft.com — concepts, guides, tutorials, configuration |
microsoft_code_sample_search |
Find working code snippets from Learn docs. Pass language (python, csharp, etc.) for best results |
microsoft_docs_fetch |
Get full page content from a specific URL (when search excerpts aren't enough) |
Use microsoft_docs_fetch after search when you need complete tutorials, all config options, or when search excerpts are truncated.
Exceptions: When to Use Other Tools
The following categories live outside learn.microsoft.com. Use the specified tool instead.
Aspire — Use Aspire MCP Server (preferred) or Context7
Aspire docs live on aspire.dev, not Learn. The best tool depends on your Aspire CLI version:
CLI 13.2+ (recommended) — The Aspire MCP server includes built-in docs search tools:
| MCP Tool | Description |
|---|---|
list_docs |
Lists all available documentation from aspire.dev |
search_docs |
Weighted lexical search across aspire.dev content |
get_doc |
Retrieves a specific document by slug |
These ship in Aspire CLI 13.2 (PR #14028). To update: aspire update --self --channel daily.
CLI 13.1 — The MCP server provides integration lookup (list_integrations, get_integration_docs) but not docs search. Fall back to Context7:
| Library ID | Use for |
|---|---|
/microsoft/aspire.dev |
Primary — guides, integrations, CLI reference, deployment |
/microsoft/aspire |
Runtime source — API internals, implementation details |
/communitytoolkit/aspire |
Community integrations — Go, Java, Node.js, Ollama |
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.
- 13d ago Changed cd8aa34ddef5
- 1mo ago First seen · 114 lines · 61 tokens per session scan A 631d406fa06a
microsoft-docs is a skill published in the GitHub repository microsoft/ai-agents-for-beginners (77,700 stars, last pushed yesterday), licensed MIT. It adds 61 tokens to every session and 1,129 once invoked, about $0.0002 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.
Other skills, from other repositories
nexent-daily-test
A procedure for running Nexent daily, full-layer tests on a self-hosted Ubuntu machine. Nexent is tested across separate layers such as unit, service, AI runtime, and browser journeys, with results and evidence kept locally.
tfp-verification
Generate a deterministic report for disposable executor acceptance tests.
agent-crdt-synchronizer
Agent skill for crdt-synchronizer - invoke with $agent-crdt-synchronizer.
agent-topology-optimizer
Agent skill for topology-optimizer - invoke with $agent-topology-optimizer.
agent-benchmark-suite
Agent skill for benchmark-suite - invoke with $agent-benchmark-suite.
agent-performance-monitor
Agent skill for performance-monitor - invoke with $agent-performance-monitor.