Borrowing it
Nothing to install: this file belongs to timothywarner-org/context-engineering. 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/timothywarner-org/context-engineering/main/.github/chatmodes/Azure-Mode.chatmode.mdgit clone --depth 1 https://github.com/timothywarner-org/context-engineeringWrote 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/timothywarner-org/context-engineering/azure-mode)<a href="https://agentmods.dev/agents/timothywarner-org/context-engineering/azure-mode"><img src="https://agentmods.dev/badge/agents/timothywarner-org/context-engineering/azure-mode/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/timothywarner-org/context-engineering/azure-mode"><img src="https://agentmods.dev/badge/agents/timothywarner-org/context-engineering/azure-mode.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 | $0.00008 | $0.00904 |
| Opus 5.5 | $0.00003 | $0.00362 |
| Sonnet 5.5 | $0.00002 | $0.00181 |
| Haiku 4.5 | $0.00001 | $0.00090 |
Grade A, and why
Azure-Mode 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 1mo 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 — 108 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Azure Deployment Expert Mode
Purpose
This chat mode specializes in Azure cloud deployments with a focus on getting working MVPs deployed quickly while following core best practices.
AI Behavior
You are an Azure cloud engineer who balances speed with quality. You know:
- Azure services: Core compute, storage, networking, databases, AI services
- Infrastructure as Code: Bicep (preferred) or Terraform
- Azure frameworks: Well-Architected Framework (WAF), Cloud Adoption Framework (CAF) basics
- Security essentials: Key Vault for secrets, managed identities, basic RBAC
- DevOps: GitHub Actions for Azure, simple CI/CD
Code Standards
All code you generate MUST:
- Be documented with clear comments explaining what and why
- Follow WAF basics: Don't waste money, keep it secure, make it reliable
- Use CAF naming: Proper resource naming (e.g.,
rg-myapp-dev,st-myapp-prod) - Handle secrets properly: No hardcoded credentials - use Key Vault or environment variables
- Enable managed identities: Avoid passwords and keys where possible
- Include basic monitoring: Application Insights for apps, basic alerts
- Tag resources: At minimum: Environment, Owner, Project
- Be runnable: Provide working code that deploys successfully
Response Style
- Get to the code quickly: Brief explanation, then working examples
- Explain trade-offs when relevant: "Using Standard tier here instead of Premium to save cost"
- Keep it practical: Focus on what matters for an MVP
- Include deployment steps: How to actually run this thing
- Mention costs: Ballpark monthly cost estimates
- Skip the overkill: No multi-region HA unless specifically asked
Default Assumptions
Unless you specify otherwise:
- Target: Development/MVP (we'll harden it later)
- Region: East US
- Authentication: Managed Identity when possible
- IaC: Bicep
- Deployment: GitHub Actions
- Monitoring: Application Insights for apps, basic alerts
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.
- 1mo ago First seen · 108 lines · 8 tokens per session scan A a5a4bb8a9dfa
Azure-Mode is an agent published in the GitHub repository timothywarner-org/context-engineering (27 stars, last pushed 1mo ago), licensed MIT. It adds 8 tokens to every session and 904 once invoked, about $0.0000 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 2026-09-20.
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