azure-search-openai-demo: Instructions file for GitHub Copilot

.github/instructions/bicep.instructions.md

azure-search-openai-demo bicep.instructions.md is an instructions file for GitHub Copilot from Azure-Samples/azure-search-openai-demo. It costs 749 tokens per session, scanned A, original, MIT.

A guide for writing infrastructure as code with Bicep, Microsoft's language for declaring Azure resources in files. It gives rules for resource relationships, parameters, outputs, and configuration files.

In plain words
What is it for?
Use it when creating or changing Bicep files that define Azure resources, modules, parameters, outputs, or child resources.
Why use it?
It reduces inconsistent or outdated Bicep patterns when defining cloud infrastructure. It also keeps resource definitions and reusable values easier to maintain.

Instructions file for GitHub Copilot

Written for GitHub Copilot: a Copilot instructions file.

This is Azure-Samples/azure-search-openai-demo's own configuration. It tells GitHub Copilot how to work on azure-search-openai-demo itself, so it is not a mod to install elsewhere. Copy it as a starting point and replace the rules that are about this project. Everything azure-search-openai-demo configures →

About the project

Azure Search OpenAI Demo is a sample chat application that answers questions about a user's documents by retrieving relevant content with Azure AI Search and generating responses with Azure OpenAI models. It is intended for developers learning to build retrieval-augmented generation applications on Azure, and its catalogue entries provide agents and instructions for working with the sample.

Azure-Samples/azure-search-openai-demo · 7,761 stars · on GitHub · azure.microsoft.com

Reuse

Borrowing it

Nothing to install: this file belongs to Azure-Samples/azure-search-openai-demo. Take a copy, put it at the same path in your own repository, and replace the rules that are about this project with yours.

Copy the file
curl -O https://raw.githubusercontent.com/Azure-Samples/azure-search-openai-demo/main/.github/instructions/bicep.instructions.md
Clone the repo
git clone --depth 1 https://github.com/Azure-Samples/azure-search-openai-demo

Made for: GitHub Copilot.

Wrote 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.

agentmods badge for azure-search-openai-demo bicep.instructions.md

README.md
[![agentmods](https://agentmods.dev/badge/instructions/azure-samples/azure-search-openai-demo/bicep/github.svg)](https://agentmods.dev/instructions/azure-samples/azure-search-openai-demo/bicep)
Your own site
<a href="https://agentmods.dev/instructions/azure-samples/azure-search-openai-demo/bicep"><img src="https://agentmods.dev/badge/instructions/azure-samples/azure-search-openai-demo/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.

agentmods 80×15 button for azure-search-openai-demo bicep.instructions.md

Your own site · 80×15
<a href="https://agentmods.dev/instructions/azure-samples/azure-search-openai-demo/bicep"><img src="https://agentmods.dev/badge/instructions/azure-samples/azure-search-openai-demo/bicep.svg" alt="Reviewed on agentmods" width="80" height="20"></a>
Per session 749 This file is loaded in full into every session.
When invoked 749 The same file — it is already loaded in full.
Security scan A 0 findings. A grade says what 26 rules found in the file — not that it is safe.
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 5.1 $0.00749 $0.00749
Opus 5 $0.00375 $0.00375
Sonnet 5 $0.00150 $0.00150
Haiku 4.5 $0.00075 $0.00075

Measured 12d ago against content hash 1477ecaa73ec, method: parsed. Prices are Anthropic first-party input rates as of 2026-09-12, from the pricing page.

Security

Grade A, and why

azure-search-openai-demo bicep.instructions.md 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 12d 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.

.github/instructions/bicep.instructions.md · 35 lines

How it starts

The opening of the file, as written. The whole thing — 35 lines — stays where its author put it; the contents beside it link to each section on GitHub.

Bicep best-practices

This list of best-practices builds on top of information available at https://learn.microsoft.com/azure/azure-resource-manager/bicep. It provides a more opinionated and up-to-date set of rules for generating high-quality Bicep code. You should aim to follow these rules whenever generating or modifying Bicep code.

Rules

General

  1. Avoid setting the name field for module statements - it is no longer required.
  2. If you need to input or output a set of logically-grouped values, generate a single param or output statement with a User-defined type instead of emitting a param or output statement for each value.
  3. If generating parameters, default to generating Bicep parameters files (*.bicepparam), instead of ARM parameters files (*.json).

Resources

  1. Do not add references from child resources to parent resources by using / characters in the child resource name property. Instead, use the parent property with a symbolic reference to the parent resource.
  2. If you are generating a child resource type, sometimes this may require you to add an existing resource for the parent if the parent is not already present in the file.
  3. If you see diagnostic codes BCP036, BCP037 or BCP081, this may indicate you have hallucinated resource types or resource type properties. You may need to double-check against available resource type schema to tune your output.
  4. Avoid using multiple resourceId() functions and reference() function where possible. Instead use symbolic names to refer to ids or properties, creating existing resources if needed. For example, write foo.id or foo.properties.id, instead of resourceId('...') or reference('...').id.

Types

  1. Avoid using open types such as array or object when referencing types where possible (e.g. in output or param statements). Instead, use User-defined types to define a more precise type.
  2. Use typed variables instead of untyped variables when exporting values with the @export() decorator. For example, use var foo string = 'blah' instead of var foo = bar.
  3. When using User-defined types, aim to avoid repetition, and comment properties with @description() where the context is unclear.
  4. If you are passing data directly to or from a resource body via a param or output statement, try to use existing Resource-derived types (resourceInput<'type@version'> and resourceOutput<'type@version'>) instead of writing User-defined types.

Read the full file on GitHub · 35 lines

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. 12d ago First seen · 35 lines · 749 tokens per session scan A 1477ecaa73ec

Subscribe to this mod's changes

azure-search-openai-demo bicep.instructions.md is an instructions file published in the GitHub repository Azure-Samples/azure-search-openai-demo (7,761 stars, last pushed 10d ago), licensed MIT. It adds 749 tokens to every session, about $0.0037 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.

Related

Other instructions, from other repositories

spec-kit AGENTS.md

AGENTS.md instructions for github/spec-kit, covering agents.md, about spec kit and specify, quickstart — add a new integration in 5 steps, integration architecture and integrationmanifest — file tracking.

github/spec-kit · 7,126 tokens

next.js AGENTS.md

AGENTS.md instructions for vercel/next.js, covering next.js development guide, codebase structure, monorepo overview, core package: packages/next and other important packages.

vercel/next.js · 7,296 tokens

codex AGENTS.md

AGENTS.md instructions for openai/codex, covering rust/codex-rs, the codex-core crate, code review rules, crate api surface and model visible context.

openai/codex · 5,153 tokens

vscode buildNext.instructions.md

Working notes and architecture documentation for the new esbuild-based build system in build/next. Use when making changes to the new build pipeline (transpile/bundle commands, NLS plugin, source-map handling, resource copying, or self-hosting watch tasks).

microsoft/vscode · 6,785 tokens

langchain AGENTS.md

AGENTS.md instructions for langchain-ai/langchain, covering global development guidelines for the langchain monorepo, corridor security analysis, project architecture and context, monorepo structure and development tools & commands.

langchain-ai/langchain · 4,469 tokens

vscode oss-third-party-notices.instructions.md

Instructions for microsoft/vscode, covering vs code oss third-party-notices pipeline, architecture, pipeline flow in ci, applying the notice (cutover) and fallback chain (never fail the build).

microsoft/vscode · 5,001 tokens