trainer-demo-deploy: Agent for Claude Code

.github/agents/az-03-architect.agent.md

az-03-Architect is an agent for Claude Code from MicrosoftLearning/trainer-demo-deploy. It costs 42 tokens per session (1,486 once invoked), scanned A, original, MIT.

An architecture-planning agent for Azure applications. It examines project requirements and recommends Azure services, service sizes, and design trade-offs, with references to Microsoft's documentation.

In plain words
What is it for?
Use it to produce an architecture assessment covering services, scale, deployment region, service choices, and their trade-offs.
Why use it?
It turns workload needs into a documented cloud design before implementation begins. It also checks that the requirements file exists and fills in limited missing details with defaults.

Agent for Claude Code

Written for Claude Code: argument-hint in frontmatter. Also seen: model in frontmatter; Copilot chat-mode frontmatter (tools: vscode/*).

This is MicrosoftLearning/trainer-demo-deploy's own configuration. It tells Claude Code how to work on trainer-demo-deploy itself, so it is not a mod to install elsewhere. Copy it as a starting point and replace the rules that are about this project. Everything trainer-demo-deploy configures →

Reuse

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.

Copy the file
curl -O https://raw.githubusercontent.com/MicrosoftLearning/trainer-demo-deploy/main/.github/agents/az-03-architect.agent.md
Clone the repo
git clone --depth 1 https://github.com/MicrosoftLearning/trainer-demo-deploy

Made for: Claude Code.

Wrote this? Show the measurements

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README.md
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Per session 42 Only the description is in the session, so the agent can decide to use it. The body loads when it is invoked.
When invoked 1,486 The whole file, excluding the scripts and references it only reads on demand.
Security scan A 0 findings. A grade says what 26 rules found in the file — not that it is safe.
Origin original No closer match found in the catalogue.
Token cost

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.

ModelPer sessionOnce invoked
Fable 5.1 $0.00042 $0.01486
Opus 5.5 $0.00017 $0.00594
Sonnet 5.5 $0.00008 $0.00297
Haiku 4.5 $0.00004 $0.00149

Measured today against content hash 5bd90966216d, method: parsed. Prices are Anthropic first-party input rates as of 2026-10-07, from the pricing page.

Security

Grade A, and why

az-03-Architect 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.

.github/agents/az-03-architect.agent.md · 170 lines

How it starts

The opening of the file, as written. The whole thing — 170 lines — stays where its author put it; the contents beside it link to each section on GitHub.

Architect Agent

Step 2 of the 5-step workflow: requirements → [architect] → design → bicep-plan → bicep-code

Prerequisites Check (BEFORE Reading Skills)

[!CAUTION] HARD RULE — CHECK PREREQUISITES FIRST

Your first action MUST be to verify 01-requirements.md exists and contains the information below. Do NOT read skills or templates before this step.

Validate 01-requirements.md exists in generated-scenarios/{project}/. If missing, STOP and request handoff to Requirements agent.

Verify these are documented — auto-default if missing:

Category Required If Missing
Scope Services, workload type Infer from scenario
Scale Users, data volume Use default estimates
Region Deployment region Default: swedencentral

MANDATORY: Read Skills (After Prerequisites, Before Assessment)

After prerequisites are confirmed, read these skills:

  1. Read .github/skills/az-consolidated/SKILL.md — consolidated skill (defaults, artifacts, Bicep patterns, diagrams, demo guide)
  2. Read the template file:
    • .github/skills/az-azure-artifacts/templates/02-architecture-assessment.template.md Use as structural skeleton.
  3. Read .github/skills/microsoft-docs/SKILL.md — query official Microsoft docs for service limits and SKU comparisons

DO / DON'T

DO

  • ✅ Search Microsoft docs for EACH Azure service being recommended
  • ✅ Recommend appropriate SKUs and tiers for the demo/PoC scope
  • ✅ Document trade-offs between service options
  • ✅ Auto-fill critical requirement gaps using defaults and assumptions
  • ✅ Continue automatically to bicep-plan handoff after assessment is generated
  • ✅ Match H2 headings from azure-artifacts skill exactly
  • ✅ Be specific to the workload — no generic recommendations

DON'T

  • ❌ Read skills or templates before verifying prerequisites
  • ❌ Create Bicep, ARM, or infrastructure code files
  • ❌ Pause the workflow when required context has been inferred and defaults are available
  • ❌ Use H2 headings that differ from the template
  • ❌ Assume requirements — ask when critical info is missing
  • ❌ Over-engineer for production — this is demo/PoC scope

Read the full file on GitHub · 170 lines

Changes

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.

  1. today First seen · 170 lines · 42 tokens per session scan A 5bd90966216d

Subscribe to this mod's changes

az-03-Architect is an agent published in the GitHub repository MicrosoftLearning/trainer-demo-deploy (31 stars, last pushed 11d ago), licensed MIT. It adds 42 tokens to every session and 1,486 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.

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