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/external-commsnpx skills add microsoft/Generative-AI-for-beginners-dotnet --skill external-commsgit 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/external-comms)<a href="https://agentmods.dev/skills/microsoft/generative-ai-for-beginners-dotnet/external-comms"><img src="https://agentmods.dev/badge/skills/microsoft/generative-ai-for-beginners-dotnet/external-comms.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 | $0.00020 | $0.03005 |
| Opus 5 | $0.00010 | $0.01503 |
| Sonnet 5 | $0.00004 | $0.00601 |
| Haiku 4.5 | $0.00002 | $0.00300 |
Grade A, and why
external-comms 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 external-comms — 658 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 — 330 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Context
Phase 1 is draft-only mode.
- PAO scans issues and discussions, drafts responses with the humanizer skill, and presents a review table for human approval.
- Human review gate is mandatory — PAO never posts autonomously.
- Every action is logged to
.squad/comms/audit/. - This workflow is triggered manually only ("PAO, check community") — no automated or Ralph-triggered activation in Phase 1.
Patterns
1. Scan
Find unanswered community items with GitHub MCP tools first, or gh issue list / gh api as fallback for issues and discussions.
- Include open issues and discussions only.
- Filter for items with no squad team response.
- Limit to items created in the last 7 days.
- Exclude items labeled
squad:internalorwontfix. - Include discussions and issues in the same sweep.
- Phase 1 scope is issues and discussions only — do not draft PR replies.
Discussion Handling (Phase 1)
Discussions use the GitHub Discussions API, which differs from issues:
- Scan:
gh api /repos/{owner}/{repo}/discussions --jq '.[] | select(.answer_chosen_at == null)'to find unanswered discussions - Categories: Filter by Q&A and General categories only (skip Announcements, Show and Tell)
- Answers vs comments: In Q&A discussions, PAO drafts an "answer" (not a comment). The human marks it as accepted answer after posting.
- Phase 1 scope: Issues and Discussions ONLY. No PR comments.
2. Classify
Determine the response type before drafting.
- Welcome (new contributor)
- Troubleshooting (bug/help)
- Feature guidance (feature request/how-to)
- Redirect (wrong repo/scope)
- Acknowledgment (confirmed, no fix)
- Closing (resolved)
- Technical uncertainty (unknown cause)
- Empathetic disagreement (pushback on a decision or design)
- Information request (need more reproduction details or context)
Template Selection Guide
| Signal in Issue/Discussion | → Response Type | Template |
|---|---|---|
| New contributor (0 prior issues) | Welcome | T1 |
| Error message, stack trace, "doesn't work" | Troubleshooting | T2 |
| "How do I...?", "Can Squad...?", "Is there a way to...?" | Feature Guidance | T3 |
| Wrong repo, out of scope for Squad | Redirect | T4 |
| Confirmed bug, no fix available yet | Acknowledgment | T5 |
| Fix shipped, PR merged that resolves issue | Closing | T6 |
| Unclear cause, needs investigation | Technical Uncertainty | T7 |
| Author disagrees with a decision or design | Empathetic Disagreement | T8 |
| Need more reproduction info or context | Information Request | T9 |
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 · 330 lines · 20 tokens per session scan A a32cc840a78c
external-comms is a skill published in the GitHub repository microsoft/Generative-AI-for-beginners-dotnet (3,047 stars, last pushed 5d ago), licensed MIT. It adds 20 tokens to every session and 3,005 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 external-comms, differing in 658 lines, and is treated as a copy.
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