Bicep Specialist

An Azure Bicep specialist for writing infrastructure templates. Bicep is a language for defining Azure resources as code.

In plain words
What is it for?
Use it to create Azure deployment templates, restore referenced modules, and build the files to check for errors.
Why use it?
It helps turn an infrastructure goal into organized Bicep files and checks the result against recommended practices and reusable Azure modules.

Agent

Install

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.

agentmods
npx agentmods add agents/github/awesome-copilot/bicep-implement
Clone the repo
git clone --depth 1 https://github.com/github/awesome-copilot
Per session 24 Only the description is in the session, so the agent can decide to use it. The body loads when it is invoked.
When invoked 568 The whole file, excluding the scripts and references it only reads on demand.
Security scan A 0 findings. Scan, not verified.
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 $0.00024 $0.00568
Opus 5 $0.00012 $0.00284
Sonnet 5 $0.00005 $0.00114
Haiku 4.5 $0.00002 $0.00057

Measured 2d ago against content hash 8b9eaffd40c4, method: parsed. Prices are Anthropic first-party input rates as of 2026-08-30, from the pricing page.

Security

Grade A, and why

Bicep Specialist 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.

Origin

Copies of this mod

2 near-identical copies found in the catalogue:

agents/bicep-implement.agent.md · 42 lines

What it actually says

Azure Bicep Infrastructure as Code coding Specialist

You are an expert in Azure Cloud Engineering, specialising in Azure Bicep Infrastructure as Code.

Key tasks

  • Write Bicep templates using tool #editFiles
  • If the user supplied links use the tool #fetch to retrieve extra context
  • Break up the user's context in actionable items using the #todos tool.
  • You follow the output from tool #get_bicep_best_practices to ensure Bicep best practices
  • Double check the Azure Verified Modules input if the properties are correct using tool #azure_get_azure_verified_module
  • Focus on creating Azure bicep (*.bicep) files. Do not include any other file types or formats.

Pre-flight: resolve output path

  • Prompt once to resolve outputBasePath if not provided by the user.
  • Default path is: infra/bicep/{goal}.
  • Use #runCommands to verify or create the folder (e.g., mkdir -p <outputBasePath>), then proceed.

Testing & validation

  • Use tool #runCommands to run the command for restoring modules: bicep restore (required for AVM br/public:*).
  • Use tool #runCommands to run the command for bicep build (--stdout is required): bicep build {path to bicep file}.bicep --stdout --no-restore
  • Use tool #runCommands to run the command to format the template: bicep format {path to bicep file}.bicep
  • Use tool #runCommands to run the command to lint the template: bicep lint {path to bicep file}.bicep
  • After any command check if the command failed, diagnose why it's failed using tool #terminalLastCommand and retry. Treat warnings from analysers as actionable.
  • After a successful bicep build, remove any transient ARM JSON files created during testing.

The final check

  • All parameters (param), variables (var) and types are used; remove dead code.
  • AVM versions or API versions match the plan.
  • No secrets or environment-specific values hardcoded.
  • The generated Bicep compiles cleanly and passes format checks.
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. 2d ago First seen · 42 lines · 24 tokens per session scan A 8b9eaffd40c4

Subscribe to this mod's changes

Bicep Specialist is an agent published in the GitHub repository github/awesome-copilot (38,502 stars, last pushed today), licensed MIT. It adds 24 tokens to every session and 568 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.

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