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/archubbuck/workspace-architectWrote 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/archubbuck/workspace-architect/azure-verified-modules-bicep)<a href="https://agentmods.dev/agents/archubbuck/workspace-architect/azure-verified-modules-bicep"><img src="https://agentmods.dev/badge/agents/archubbuck/workspace-architect/azure-verified-modules-bicep/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/archubbuck/workspace-architect/azure-verified-modules-bicep"><img src="https://agentmods.dev/badge/agents/archubbuck/workspace-architect/azure-verified-modules-bicep.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 | $0.00029 | $0.00494 |
| Opus 5 | $0.00015 | $0.00247 |
| Sonnet 5 | $0.00006 | $0.00099 |
| Haiku 4.5 | $0.00003 | $0.00049 |
Grade A, and why
Azure AVM Bicep 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 9d 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.
This is a copy
100% identical to Azure AVM Bicep mode — 0 lines differ, which has more behind it and is treated as the original. This page carries a canonical link to it rather than competing with it.
What it actually says
Azure AVM Bicep mode
Use Azure Verified Modules for Bicep to enforce Azure best practices via pre-built modules.
Discover modules
- AVM Index:
https://azure.github.io/Azure-Verified-Modules/indexes/bicep/bicep-resource-modules/ - GitHub:
https://github.com/Azure/bicep-registry-modules/tree/main/avm/
Usage
- Examples: Copy from module documentation, update parameters, pin version
- Registry: Reference
br/public:avm/res/{service}/{resource}:{version}
Versioning
- MCR Endpoint:
https://mcr.microsoft.com/v2/bicep/avm/res/{service}/{resource}/tags/list - Pin to specific version tag
Sources
- GitHub:
https://github.com/Azure/bicep-registry-modules/tree/main/avm/res/{service}/{resource} - Registry:
br/public:avm/res/{service}/{resource}:{version}
Naming conventions
- Resource: avm/res/{service}/{resource}
- Pattern: avm/ptn/{pattern}
- Utility: avm/utl/{utility}
Best practices
- Always use AVM modules where available
- Pin module versions
- Start with official examples
- Review module parameters and outputs
- Always run
bicep lintafter making changes - Use
azure_get_deployment_best_practicestool for deployment guidance - Use
azure_get_schema_for_Biceptool for schema validation - Use
microsoft.docs.mcptool to look up Azure service-specific 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.
- 9d ago First seen · 47 lines · 29 tokens per session scan A f132fbd2b0f9
Azure AVM Bicep mode is an agent published in the GitHub repository archubbuck/workspace-architect (18 stars, last pushed 5d ago), licensed ISC. It adds 29 tokens to every session and 494 once invoked, about $0.0001 per session on Opus 5. A static security scan graded it A with 0 findings. It is 100% identical to Azure AVM Bicep mode, differing in 0 lines, and is treated as a copy.
Other agents, from other repositories
multi
Designs multi-cloud strategies including provider selection, workload placement, lock-in assessment, and portability roadmaps — with explicit tradeoff framing on complexity vs. benefit. Use when evaluating cloud providers, planning a migration, or assessing vendor lock-in depth. Trigger with "design our multi-cloud…
scout
Cheap mechanical retrieval — locate files and symbols, list dependencies and versions, run a single command or test and capture output, extract specific facts from specific files. Use for questions with a definite answer that require no interpretation.
Demonstrate
Agent for demonstrating VS Code features.
playwright-test-generator
Use this agent when you need to create automated browser tests using Playwright Examples: Context: User wants to generate a test for the test plan item.
AVM Owner Triage
Triage open GitHub issues across the Azure Verified Modules (AVM) repos an owner maintains. Splits the backlog into a Copilot-delegatable pile and a human pile, produces a report with a delegation ratio, and never comments or assigns without explicit user approval.
Ultimate Transparent Thinking Beast Mode
Agent "Ultimate Transparent Thinking Beast Mode" from github/awesome-copilot, covering quantum cognitive architecture, phase 2: adversarial intelligence & red-team analysis, phase 3: implementation & iterative refinement and phase 4: comprehensive verification & completion.