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 notification-routinggit 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/notification-routing)<a href="https://agentmods.dev/skills/microsoft/generative-ai-for-beginners-dotnet/notification-routing"><img src="https://agentmods.dev/badge/skills/microsoft/generative-ai-for-beginners-dotnet/notification-routing.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 | $0.00019 | $0.00730 |
| Opus 5 | $0.00010 | $0.00365 |
| Sonnet 5 | $0.00004 | $0.00146 |
| Haiku 4.5 | $0.00002 | $0.00073 |
Grade A, and why
notification-routing 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 8d 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 notification-routing — 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 — 105 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Context
When a Squad grows beyond a few agents, notifications flood a single channel — failure alerts drown in daily briefings, tech news buries security findings, and everything gets ignored. This is the pub-sub problem: a single message queue for everything is a recipe for missed alerts.
The fix is topic-based routing: agents tag notifications with a channel type, and a routing function sends them to the appropriate destination.
Trigger symptoms:
- Important alerts missed because they're buried in routine notifications
- Team members turning off notifications entirely (signal overwhelm)
- Onboarding friction: "where do I look for X?"
Patterns
Channel Config Schema
Define a .squad/teams-channels.json (or equivalent) mapping notification types to channel identifiers:
{
"teamId": "your-team-id",
"channels": {
"notifications": "squad-alerts",
"tech-news": "tech-news",
"security": "security-findings",
"releases": "release-announcements",
"daily-digest": "daily-digest"
}
}
Place this in .squad/ (git-tracked, shared across the team). For platforms that use channel IDs instead of
names (Teams, Slack), store the resolved ID alongside the name to avoid name-collision bugs:
{
"channels": {
"notifications": { "name": "squad-alerts", "id": "channel-id-opaque-string" }
}
}
CHANNEL: Tag Convention
Agents prefix their output with CHANNEL:<type> to signal where the notification should go:
CHANNEL:security
Worf found 3 new CVEs in dependency scan: [email protected], [email protected]
Routing Dispatcher (shell pseudocode)
dispatch_notification() {
local raw_output="$1"
local channel="notifications" # default
if echo "$raw_output" | grep -qE '^CHANNEL:[a-z][a-z0-9-]*'; then
channel=$(echo "$raw_output" | head -1 | cut -d: -f2)
raw_output=$(echo "$raw_output" | tail -n +2)
fi
send_notification --channel "$channel" --message "$raw_output"
}
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.
- 8d ago First seen · 105 lines · 19 tokens per session scan A ffebfd70be86
notification-routing is a skill published in the GitHub repository microsoft/Generative-AI-for-beginners-dotnet (3,051 stars, last pushed 7d ago), licensed MIT. It adds 19 tokens to every session and 730 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 notification-routing, differing in 0 lines, and is treated as a copy.
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