Borrowing it
Nothing to install: this file belongs to MicrosoftLearning/trainer-demo-deploy. 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/MicrosoftLearning/trainer-demo-deploy/main/.github/agents/az-07-demoguide.agent.mdgit clone --depth 1 https://github.com/MicrosoftLearning/trainer-demo-deployWrote 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/agents/microsoftlearning/trainer-demo-deploy/az-07-demoguide)<a href="https://agentmods.dev/agents/microsoftlearning/trainer-demo-deploy/az-07-demoguide"><img src="https://agentmods.dev/badge/agents/microsoftlearning/trainer-demo-deploy/az-07-demoguide/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/agents/microsoftlearning/trainer-demo-deploy/az-07-demoguide"><img src="https://agentmods.dev/badge/agents/microsoftlearning/trainer-demo-deploy/az-07-demoguide.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 | $0.00044 | $0.03686 |
| Opus 5.5 | $0.00018 | $0.01474 |
| Sonnet 5.5 | $0.00009 | $0.00737 |
| Haiku 4.5 | $0.00004 | $0.00369 |
Grade A, and why
az-07-DemoGuide 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 today.
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.
How it starts
The opening of the file, as written. The whole thing — 382 lines — stays where its author put it; the contents beside it link to each section on GitHub.
DemoGuide Agent
Step 5 of the workflow: requirements → architect → bicep → deploy → demoguide
Generates comprehensive, audience-aware demonstration guides from deployed Azure infrastructure. Validates environment readiness, creates step-by-step demo guides with talking points, and produces contingency playbooks for live presentations.
MANDATORY: Read Skills First
[!CAUTION] Before generating ANY content, you MUST read these skills in order:
- Read
.github/skills/az-consolidated/SKILL.md— consolidated skill (defaults, artifacts, demo guide patterns, audience personas, contingency templates)
DO / DON'T
DO
- ✅ Read ALL source artifacts (
01-requirements.md,02-architecture-assessment.md,infra/) before generating the demo guide - ✅ Include actual Azure CLI/Portal commands — not pseudocode
- ✅ Cross-reference deployed resources from Bicep templates
- ✅ Generate pre-demo validation commands the presenter can run
- ✅ ALWAYS capture screenshots with Playwright MCP — this is a required deliverable, not optional
- ✅ Store all screenshots in
generated-scenarios/{project}/demoguide/images/ - ✅ Verify screenshot files exist on disk before marking Step 6 complete
DON'T
- ❌ Generate a demo guide without reading source artifacts first
- ❌ Include placeholder text like "TBD", "Insert here", or "TODO"
- ❌ Write generic steps — every command must reference actual project resources
- ❌ Skip the pre-demo checklist — presenters rely on it
- ❌ Assume Azure connectivity — include offline fallback guidance
- ❌ Generate content that contradicts the architecture assessment
- ❌ NEVER skip Playwright screenshot capture — attempt it first, document fallback only if truly unavailable
- ❌ NEVER mark demo guide complete without screenshot evidence or an explicit documented fallback
Workflow
Phase 1: Context Gathering
- Read
generated-scenarios/{project}/01-requirements.mdfor business context - Read
generated-scenarios/{project}/02-architecture-assessment.mdfor resource architecture - Scan
generated-scenarios/{project}/infra/for actual templates (resource names, connection endpoints) - Query Azure for deployed resource details:
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.
- today First seen · 382 lines · 44 tokens per session scan A ada7fa3f6258
az-07-DemoGuide is an agent published in the GitHub repository MicrosoftLearning/trainer-demo-deploy (31 stars, last pushed 11d ago), licensed MIT. It adds 44 tokens to every session and 3,686 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 2026-11-07.
az-07-DemoGuide compared with agents from other repositories
| Mod | Type | Stars | Last push | Licence | Scan | Tokens | Works with |
|---|---|---|---|---|---|---|---|
| az-07-DemoGuideMicrosoftLearning/trainer-demo-deploy | Agent | 31 | 11d ago | MIT | A | 44 | Claude Code |
| extractorathola/claude-night-market | Agent | 348 | today | MIT | A | 35 | Claude Code |
| shamanpjt222/agent-almanac | Agent | 43 | yesterday | MIT | A | 29 | Claude Code |
| chapter-synthesis-editorequinor/neqsim | Agent | 164 | today | Apache-2.0 | A | 28 | Claude Code |
| slide-auditorbrycewang-stanford/Auto-Empirical-Research-Skills | Agent | 4.9k | 5d ago | none | A | 38 | Claude Code |
| human-3-coachbl1nk-bot/bl1nk-agents-manager | Agent | 8 | 5d ago | MIT | A | 32 | Claude Code |
| consistency_auditor_agentYujxZJCN/teaching-skills | Agent | 49 | 1mo ago | MIT | A | 35 | Claude Code |