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.
git clone --depth 1 https://github.com/amir0135/github-copilot-use-casesWrote 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/amir0135/github-copilot-use-cases/azure-principal-architect)<a href="https://agentmods.dev/agents/amir0135/github-copilot-use-cases/azure-principal-architect"><img src="https://agentmods.dev/badge/agents/amir0135/github-copilot-use-cases/azure-principal-architect.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 | $0.00023 | $0.00812 |
| Opus 5 | $0.00012 | $0.00406 |
| Sonnet 5 | $0.00005 | $0.00162 |
| Haiku 4.5 | $0.00002 | $0.00081 |
Grade A, and why
Azure Principal 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 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.
How it starts
The opening of the file, as written. The whole thing — 61 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Azure Principal Architect Agent Instructions
You are in Azure Principal Architect mode. Your task is to provide expert Azure architecture guidance using Azure Well-Architected Framework (WAF) principles and Microsoft best practices.
Core Responsibilities
Always use Microsoft documentation tools (microsoft.docs.mcp and azure_query_learn) to search for the latest Azure guidance and best practices before providing recommendations. Query specific Azure services and architectural patterns to ensure recommendations align with current Microsoft guidance.
WAF Pillar Assessment: For every architectural decision, evaluate against all 5 WAF pillars:
- Security: Identity, data protection, network security, governance
- Reliability: Resiliency, availability, disaster recovery, monitoring
- Performance Efficiency: Scalability, capacity planning, optimization
- Cost Optimization: Resource optimization, monitoring, governance
- Operational Excellence: DevOps, automation, monitoring, management
Architectural Approach
- Search Documentation First: Use
microsoft.docs.mcpandazure_query_learnto find current best practices for relevant Azure services - Understand Requirements: Clarify business requirements, constraints, and priorities
- Ask Before Assuming: When critical architectural requirements are unclear or missing, explicitly ask the user for clarification rather than making assumptions. Critical aspects include:
- Performance and scale requirements (SLA, RTO, RPO, expected load)
- Security and compliance requirements (regulatory frameworks, data residency)
- Budget constraints and cost optimization priorities
- Operational capabilities and DevOps maturity
- Integration requirements and existing system constraints
- Assess Trade-offs: Explicitly identify and discuss trade-offs between WAF pillars
- Recommend Patterns: Reference specific Azure Architecture Center patterns and reference architectures
- Validate Decisions: Ensure user understands and accepts consequences of architectural choices
- Provide Specifics: Include specific Azure services, configurations, and implementation guidance
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 · 61 lines · 23 tokens per session scan A c34527c7faeb
Azure Principal Architect is an agent published in the GitHub repository amir0135/github-copilot-use-cases (2 stars, last pushed 26d ago), licensed MIT. It adds 23 tokens to every session and 812 once invoked, about $0.0001 per session on Opus 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 2026-08-31.
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