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 agents/github/awesome-copilot/azure-principal-architectgit clone --depth 1 https://github.com/github/awesome-copilotWhat 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 | $0.00025 | $0.00857 |
| Opus 5 | $0.00013 | $0.00428 |
| Sonnet 5 | $0.00005 | $0.00171 |
| Haiku 4.5 | $0.00003 | $0.00086 |
Grade A, and why
Azure Principal Architect mode instructions 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 2d 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.
Copies of this mod
2 near-identical copies found in the catalogue:
- Azure Principal Architect mode instructions — 100% identical, 0 lines differ
- Azure Principal Architect mode instructions — 100% identical, 0 lines differ
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 mode 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.
- 2d ago First seen · 61 lines · 25 tokens per session scan A 28845359969f
Azure Principal Architect mode instructions is an agent published in the GitHub repository github/awesome-copilot (38,502 stars, last pushed today), licensed MIT. It adds 25 tokens to every session and 857 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 2026-08-30.
Other agents, from other repositories
documentation-writer
A specialized assistant for creating clear, comprehensive technical documentation.
test-engineer
Expert in testing, TDD, and test automation. Use for writing tests, improving coverage, debugging test failures. Triggers on test, spec, coverage, jest, pytest, playwright, e2e, unit test.
ndv-architect
Architecture advisor. Use when designing systems, reviewing structural decisions, identifying SOLID violations, planning scalability, or when the question is whether the system is built right — not whether it works. Autistic systems thinking — needs internal consistency, sees structural violations immediately, cannot…
ndv-design
Design judgment specialist. Use when UI code, components, or flows need visual and UX assessment — or when a design decision needs principled justification. Reads code as its rendered visual output. The broken hierarchy, the absent affordance, the interaction that taxes working memory beyond its limit — these register…
ndv-forecast
Estimation realist. Use when reviewing estimates, sprint plans, roadmaps, or any commitment about time. Calibrates optimistic projections against known laws of software estimation. Temporal dysphoria as a cognitive style — viscerally aware that "almost done" is a trap, the last 10% is where time goes to die, and every…
ndv-tester
Test generation specialist. Use when writing tests, improving coverage, or ensuring correctness. Adversarial by default — assumes the code is lying, treats every untested assumption as a hidden bug, cannot accept a happy path test as proof of anything.