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 skills add microsoft/Generative-AI-for-beginners-dotnet --skill retro-enforcementgit 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/retro-enforcement)<a href="https://agentmods.dev/skills/microsoft/generative-ai-for-beginners-dotnet/retro-enforcement"><img src="https://agentmods.dev/badge/skills/microsoft/generative-ai-for-beginners-dotnet/retro-enforcement/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/generative-ai-for-beginners-dotnet/retro-enforcement"><img src="https://agentmods.dev/badge/skills/microsoft/generative-ai-for-beginners-dotnet/retro-enforcement.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 | $0.01348 |
| Opus 5 | $0.00000 | $0.00674 |
| Sonnet 5 | $0.00000 | $0.00270 |
| Haiku 4.5 | $0.00000 | $0.00135 |
Grade A, and why
retro-enforcement scanned grade A with 0 findings against 26 rules in 11 categories — prompt injection, anti-refusal, data exfiltration, privilege escalation, supply chain, agent snooping, system-prompt leakage, SSRF and excessive agency — measured 9d ago.
A static scan of the body, not an audit. Every finding is printed with the line that produced it so you can judge whether it matters here. A mod is markdown that instructs an agent; that is exactly why what it instructs is worth reading.
Nothing flagged
None of the 26 patterns this scan looks for appear in this file: no shell pipes, no recursive deletes, no credential paths, no hidden text, no instruction-override or anti-refusal phrasing, no agent-config snooping. That is not a guarantee, it is the absence of the things that are checkable.
This is a copy
100% identical to retro-enforcement — 0 lines differ, which has more behind it and is treated as the original. This page carries a canonical link to it rather than competing with it.
How it starts
The opening of the file, as written. The whole thing — 149 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Skill: Retro Enforcement
Purpose
Ensure retrospectives happen on schedule and that their action items are tracked in GitHub Issues — not markdown checklists.
This skill addresses a specific, measured failure mode: 0% completion rate on markdown retro action items across 6 consecutive retrospectives. GitHub Issues have an 85%+ completion rate in the same squad. The format was the problem, not the people.
Core Function: Test-RetroOverdue
function Test-RetroOverdue {
param(
[string]$LogDir = ".squad/log",
[int]$WindowDays = 7,
[string]$Pattern = "*retrospective*"
)
$cutoff = (Get-Date).AddDays(-$WindowDays)
$retroLogs = Get-ChildItem -Path $LogDir -Filter $Pattern -ErrorAction SilentlyContinue |
Where-Object { $_.LastWriteTime -ge $cutoff }
return ($retroLogs.Count -eq 0)
}
Returns
$true— No retro log found within the window. Retro is overdue. Block other work.$false— At least one retro log found within the window. Proceed normally.
Detection Logic
The function checks .squad/log/ for any file matching *retrospective* dated within the last $WindowDays days (default: 7). If none is found, the retro is overdue.
File naming convention: .squad/log/{ISO8601-timestamp}-retrospective.md
Example: .squad/log/2026-03-24T14-45-00Z-retrospective.md
Coordinator Integration
Call Test-RetroOverdue at the start of every round, before building the work queue.
# At round start — before any work queue construction
if (Test-RetroOverdue -LogDir ".squad/log" -WindowDays 7) {
Write-Host "[RETRO] Retrospective overdue. Running before other work."
# Spawn retro facilitator
Invoke-RetroSession -Mode "catch-up"
# Wait for retro log to be written
# Then resume normal round
}
# Proceed with normal work queue
$workQueue = Get-PendingIssues | Sort-Object -Property Priority
Blocking Semantics
When Test-RetroOverdue returns $true:
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.
- 9d ago First seen · 149 lines · 0 tokens per session scan A 1bc1c8d7d27f
retro-enforcement is a skill published in the GitHub repository microsoft/Generative-AI-for-beginners-dotnet (3,057 stars, last pushed 8d ago), licensed MIT. It costs nothing until one of its globs matches a file; then it loads 1,348 tokens. A static security scan graded it A with 0 findings. It is 100% identical to retro-enforcement, differing in 0 lines, and is treated as a copy.
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