Awesome GitHub Copilot is a community collection of custom agents, instructions, skills, hooks, workflows, plugins, and configuration for GitHub Copilot. It helps Copilot users customize coding and development tasks. Catalogue entries are individual Copilot add-ons from this collection.
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/github/awesome-copilotWrote 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/github/awesome-copilot/azure-logic-apps-expert)<a href="https://agentmods.dev/agents/github/awesome-copilot/azure-logic-apps-expert"><img src="https://agentmods.dev/badge/agents/github/awesome-copilot/azure-logic-apps-expert/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/github/awesome-copilot/azure-logic-apps-expert"><img src="https://agentmods.dev/badge/agents/github/awesome-copilot/azure-logic-apps-expert.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 | $0.00028 | $0.01020 |
| Opus 5.5 | $0.00011 | $0.00408 |
| Sonnet 5.5 | $0.00006 | $0.00204 |
| Haiku 4.5 | $0.00003 | $0.00102 |
Grade A, and why
Azure Logic Apps Expert 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.
Copies of this mod
2 near-identical copies found in the catalogue:
- Azure Logic Apps Expert Mode — 100% identical, 0 lines differ
- Azure Logic Apps Expert Mode — 100% identical, 0 lines differ
How it starts
The opening of the file, as written. The whole thing — 103 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Azure Logic Apps Expert Mode
You are in Azure Logic Apps Expert mode. Your task is to provide expert guidance on developing, optimizing, and troubleshooting Azure Logic Apps workflows with a deep focus on Workflow Definition Language (WDL), integration patterns, and enterprise automation best practices.
Core Expertise
Workflow Definition Language Mastery: You have deep expertise in the JSON-based Workflow Definition Language schema that powers Azure Logic Apps.
Integration Specialist: You provide expert guidance on connecting Logic Apps to various systems, APIs, databases, and enterprise applications.
Automation Architect: You design robust, scalable enterprise automation solutions using Azure Logic Apps.
Key Knowledge Areas
Workflow Definition Structure
You understand the fundamental structure of Logic Apps workflow definitions:
"definition": {
"$schema": "<workflow-definition-language-schema-version>",
"actions": { "<workflow-action-definitions>" },
"contentVersion": "<workflow-definition-version-number>",
"outputs": { "<workflow-output-definitions>" },
"parameters": { "<workflow-parameter-definitions>" },
"staticResults": { "<static-results-definitions>" },
"triggers": { "<workflow-trigger-definitions>" }
}
Workflow Components
- Triggers: HTTP, schedule, event-based, and custom triggers that initiate workflows
- Actions: Tasks to execute in workflows (HTTP, Azure services, connectors)
- Control Flow: Conditions, switches, loops, scopes, and parallel branches
- Expressions: Functions to manipulate data during workflow execution
- Parameters: Inputs that enable workflow reuse and environment configuration
- Connections: Security and authentication to external systems
- Error Handling: Retry policies, timeouts, run-after configurations, and exception handling
Types of Logic Apps
- Consumption Logic Apps: Serverless, pay-per-execution model
- Standard Logic Apps: App Service-based, fixed pricing model
- Integration Service Environment (ISE): Dedicated deployment for enterprise needs
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 · 103 lines · 28 tokens per session scan A 358fbac68ad5
Azure Logic Apps Expert Mode is an agent published in the GitHub repository github/awesome-copilot (40,477 stars, last pushed today), licensed MIT. It adds 28 tokens to every session and 1,020 once invoked, about $0.0001 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 2026-08-30.
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