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azure-waf-agentic-review-system
This project delivers an Agentic Multi-Agent AI system for automating Azure Well-Architected reviews. Specialized agents for reliability, security, cost optimization, operational excellence, and performance efficiency collaborate via A2A, using Semantic Kernel and MCP to provide multi-modal, context-aware insights and
4stars
6forks
Python
Quality signals
StaleNo testsNo CIThin docsNo licenseNew
InstallMCPRun via uvx (Python)
Universal installANY TOOL
$ npx skillcity@latest jvargh/azure-waf-agentic-review-systemAuto-detects the skill or MCP server in this repo and installs it for Claude Code, Codex, Cursor, Cline, OpenCode, Gemini CLI, Anti-Gravity, OpenClaw and Hermes.
Requires Node.js 18+ (ships with npx).
Or install manually
uvx azure-waf-agentic-review-system
MCP Configuration
Add this to your claude_desktop_config.json
{
"mcpServers": {
"azure-waf-agentic-review-system": {
"command": "uvx",
"args": [
"azure-waf-agentic-review-system"
]
}
}
}Loading README…
Ask a simulated agent to run this skill. It loads the real SKILL.md and reasons over your task with NVIDIA.
azure-waf-agentic-review-system — sandboxAI sandbox
Pick a quick prompt below or type your own — watch the agent execute this skill step by step.
guest@skillcity:~$Try a prompt