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-05b-development.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-05b-development)<a href="https://agentmods.dev/agents/microsoftlearning/trainer-demo-deploy/az-05b-development"><img src="https://agentmods.dev/badge/agents/microsoftlearning/trainer-demo-deploy/az-05b-development/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-05b-development"><img src="https://agentmods.dev/badge/agents/microsoftlearning/trainer-demo-deploy/az-05b-development.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 | $0.00086 | $0.03318 |
| Opus 5.5 | $0.00034 | $0.01327 |
| Sonnet 5.5 | $0.00017 | $0.00664 |
| Haiku 4.5 | $0.00009 | $0.00332 |
Grade A, and why
az-05b-Development 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 — 316 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Development Agent
Step 3b of the workflow: requirements → architect → bicep → [development] → deploy → demoguide
Scaffolds a .NET 10 C# sample web application with industry-specific data. When the architecture includes a data service (Storage Table, SQL Database, Cosmos DB, etc.), the app stores and retrieves data from that service. When no data endpoint is present, the app falls back to local JSON seed files. Runs on Azure App Service, Container Apps, ACI, or AKS — never on VM-only scenarios.
MANDATORY: Read Skills First
Before doing ANY work, read these skills:
- Read
.github/skills/az-consolidated/SKILL.md— consolidated skill (defaults, AVM, Bicep patterns, artifacts, diagrams, demo guide) - Read
.github/skills/az-webapp-development/SKILL.md— webapp scaffolding patterns, industry data templates, Dockerfile, azd service wiring - Read
.github/instructions/az-dotnet-webapp.instructions.md— .NET 10 coding standards, project structure, sample data patterns
Eligibility Check
[!CAUTION] HARD GATE — Skip if VM-only scenario
Before starting, read
02-architecture-assessment.mdand01-requirements.md. If the architecture only contains VM-based compute (no App Service, Container Apps, ACI, or AKS), this agent MUST skip and report back:⏭️ DEVELOPMENT SKIPPED — VM-only scenario does not require a sample web app.
Eligible Compute Targets
| Compute Type | Webapp Delivery | Dockerfile Required |
|---|---|---|
| App Service | Deploy as web app | No |
| Container Apps | Deploy as container | Yes |
| ACI | Deploy as container | Yes |
| AKS | Deploy as container | Yes |
| VM (any) | SKIP — not eligible | N/A |
Industry Confirmation Gate
Before scaffolding, verify 01-requirements.md records an explicitly confirmed
industry or General. If it is missing or described as inferred/defaulted, stop and
report INDUSTRY CONFIRMATION REQUIRED. Do not select an industry from the project
description, architecture, resource names, or intended sample data.
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 · 316 lines · 86 tokens per session scan A 510b1366ec50
az-05b-Development is an agent published in the GitHub repository MicrosoftLearning/trainer-demo-deploy (31 stars, last pushed 11d ago), licensed MIT. It adds 86 tokens to every session and 3,318 once invoked, about $0.0003 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-05b-Development compared with agents from other repositories
| Mod | Type | Stars | Last push | Licence | Scan | Tokens | Works with |
|---|---|---|---|---|---|---|---|
| az-05b-DevelopmentMicrosoftLearning/trainer-demo-deploy | Agent | 31 | 11d ago | MIT | A | 86 | Claude Code |
| C# MCP Server Expertgithub/awesome-copilot | Agent | 41k | today | MIT | A | 21 | Claude Code |
| backend-engineerfpindej/netrock | Agent | 235 | 4d ago | MIT | A | 33 | Claude Code |
| aspnet-core-architectAratKruglik/claude-sdlc | Agent | 55 | 11d ago | MIT | A | 136 | Claude Code |
| csharp-dotnet-proJosephHampton/awesome-gemini-cli-subagents | Agent | 93 | 7d ago | CC0-1.0 | A | 32 | Claude Code |
| dotnet-backend-expertFortiumPartners/ensemble | Agent | 12 | yesterday | MIT | A | 30 | Claude Code |
| Backend DeveloperCratis/AI | Agent | 4 | yesterday | MIT | A | 51 | Claude Code |