Generative AI for Beginners .NET is a hands-on course that teaches .NET developers to build applications using generative AI models and related tools. Its lessons use practical samples covering scenarios such as chat, audio transcription, agents, and local AI. The catalogue entries are add-ons associated with the course repository.
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 skills/microsoft/generative-ai-for-beginners-dotnet/windows-compatibilitynpx skills add microsoft/Generative-AI-for-beginners-dotnet --skill windows-compatibilitygit clone --depth 1 https://github.com/microsoft/Generative-AI-for-beginners-dotnetWrote 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/generative-ai-for-beginners-dotnet/windows-compatibility)<a href="https://agentmods.dev/skills/microsoft/generative-ai-for-beginners-dotnet/windows-compatibility"><img src="https://agentmods.dev/badge/skills/microsoft/generative-ai-for-beginners-dotnet/windows-compatibility.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 5.1 | $0.00012 | $0.01000 |
| Opus 5 | $0.00006 | $0.00500 |
| Sonnet 5 | $0.00002 | $0.00200 |
| Haiku 4.5 | $0.00001 | $0.00100 |
Grade A, and why
windows-compatibility 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 6d 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.
This is a copy
100% identical to windows-compatibility — 0 lines differ, which has more behind it and is treated as the original. This page carries a canonical link to it rather than competing with it.
How it starts
The opening of the file, as written. The whole thing — 99 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Context
Squad runs on Windows, macOS, and Linux. Several bugs have been traced to platform-specific assumptions: ISO timestamps with colons (illegal on Windows), git -C with Windows paths (unreliable), forward-slash paths in Node.js on Windows.
Patterns
Filenames & Timestamps
- Never use colons in filenames: ISO 8601 format
2026-03-15T05:30:00Zis illegal on Windows - Use
safeTimestamp()utility: Replaces colons with hyphens →2026-03-15T05-30-00Z - Centralize formatting: Don't inline
.toISOString().replace(/:/g, '-')— use the utility
Git Commands
- Never use
git -C {path}: Unreliable with Windows paths (backslashes, spaces, drive letters) - Always
cdfirst: Change directory, then run git commands - Check for changes before commit:
git diff --cached --quiet(exit 0 = no changes)
Commit Messages
- Never embed newlines in
-mflag: Backtick-n (\n) fails silently in PowerShell - Use temp file +
-Fflag: Write message to file, commit withgit commit -F $msgFile
Paths
- Never assume CWD is repo root: Always use
TEAM ROOTfrom spawn prompt or rungit rev-parse --show-toplevel - Use path.join() or path.resolve(): Don't manually concatenate with
/or\
Path Comparison (Case Sensitivity)
- Never use case-sensitive
startsWithor===for path comparison on Windows or macOS: These filesystems are case-insensitive —C:\Users\andc:\users\refer to the same location - Use platform-aware comparison: Check
process.platform === 'win32' || process.platform === 'darwin'and lowercase both sides before comparing - Pattern:
const CASE_INSENSITIVE = process.platform === 'win32' || process.platform === 'darwin'; function pathStartsWith(fullPath: string, prefix: string): boolean { if (CASE_INSENSITIVE) { return fullPath.toLowerCase().startsWith(prefix.toLowerCase()); } return fullPath.startsWith(prefix); } - Where it matters: Security checks (path traversal prevention), rootDir confinement, any path-contains-path validation
- Linux is case-sensitive: Do NOT lowercase on Linux —
/Home/and/home/are different directories
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.
- 6d ago First seen · 99 lines · 12 tokens per session scan A c21098f7009f
windows-compatibility is a skill published in the GitHub repository microsoft/Generative-AI-for-beginners-dotnet (3,048 stars, last pushed 5d ago), licensed MIT. It adds 12 tokens to every session and 1,000 once invoked, about $0.0001 per session on Opus 5. A static security scan graded it A with 0 findings. It is 100% identical to windows-compatibility, differing in 0 lines, and is treated as a copy.
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