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azure-aigateway

azure-aigateway is a skill for Claude Code from Tyler-R-Kendrick/agent-skills. It costs 119 tokens per session (6,090 once invoked), scanned A, original, MIT.

A guide for using Azure API Management as a gateway in front of AI models, tools, and agents. A gateway is a controlled entry point that can inspect and manage requests.

In plain words
What is it for?
Use it to add rate or token limits, response caching, content safety checks, load balancing, or to expose an existing API as an MCP server.
Why use it?
It gives one place to protect AI services, limit usage, filter content, observe traffic, and route requests across backends.

Skill for Claude Code

Written for Claude Code: shipped in a Claude Code plugin.

Part of the agent-skills plugin — 57 skills shipped together

not rated 11repo 3mo ago A scan 119 tokens original MIT

Good fit Use it to add rate or token limits, response caching, content safety checks, load balancing, or to expose an existing API as an MCP server.

Compare 6 skills from other repositories ↓
Install with agentmods
npx agentmods add skills/tyler-r-kendrick/agent-skills/azure-aigateway
View source ↗ Tyler-R-Kendrick/agent-skills
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.

Any agent
npx skills add Tyler-R-Kendrick/agent-skills --skill azure-aigateway
Clone the repo
git clone --depth 1 https://github.com/Tyler-R-Kendrick/agent-skills

Made for: Claude Code.

Or install agent-skills, the plugin that ships this one along with the rest of its 57 skills.

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-aigateway

README.md
[![agentmods](https://agentmods.dev/badge/skills/tyler-r-kendrick/agent-skills/azure-aigateway/github.svg)](https://agentmods.dev/skills/tyler-r-kendrick/agent-skills/azure-aigateway)
Your own site
<a href="https://agentmods.dev/skills/tyler-r-kendrick/agent-skills/azure-aigateway"><img src="https://agentmods.dev/badge/skills/tyler-r-kendrick/agent-skills/azure-aigateway/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-aigateway

Your own site · 80×15
<a href="https://agentmods.dev/skills/tyler-r-kendrick/agent-skills/azure-aigateway"><img src="https://agentmods.dev/badge/skills/tyler-r-kendrick/agent-skills/azure-aigateway.svg" alt="Reviewed on agentmods" width="80" height="20"></a>
Per session 119 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 6,090 The whole file, excluding the scripts and references it only reads on demand.
Security scan A 1 finding. 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 $0.00119 $0.06090
Opus 5 $0.00060 $0.03045
Sonnet 5 $0.00024 $0.01218
Haiku 4.5 $0.00012 $0.00609

Measured 12d ago against content hash 736f38b95847, method: parsed. Prices are Anthropic first-party input rates as of 2026-09-11, from the pricing page.

Security

Grade A, and why

azure-aigateway scanned grade A with 1 finding 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.

Makes network callslowCapability

Not a fault in itself. Listed so you know the mod talks to something, and to what.

curl -X POST "${GATEWAY_URL}/<api-path>/mcp/tools/list" \
.agent/skills/azure-aigateway/SKILL.md · 751 lines

How it starts

The opening of the file, as written. The whole thing — 751 lines — stays where its author put it; the contents beside it link to each section on GitHub.

Azure AI Gateway

Bootstrap and configure Azure API Management (APIM) as an AI Gateway for securing, observing, and controlling AI models, tools (MCP Servers), and agents.

Skill Activation Triggers

Use this skill immediately when the user asks to:

  • "Set up a gateway for my model"
  • "Set up a gateway for my tools"
  • "Set up a gateway for my agents"
  • "Add a gateway to my MCP server"
  • "Protect my AI model with a gateway"
  • "Secure my AI agents"
  • "Ratelimit my model requests"
  • "Ratelimit my tool requests"
  • "Limit tokens for my model"
  • "Add rate limiting to my MCP server"
  • "Enable semantic caching for my AI API"
  • "Add content safety to my AI endpoint"
  • "Add my model behind gateway"
  • "Import API from OpenAPI spec"
  • "Add API to gateway from swagger"
  • "Convert my API to MCP"
  • "Expose my API as MCP server"

Key Indicators:

  • User deploying Azure OpenAI, AI Foundry, or other AI models
  • User creating or managing MCP servers
  • User needs token limits, rate limiting, or quota management
  • User wants to cache AI responses to reduce costs
  • User needs content filtering or safety controls
  • User wants load balancing across multiple AI backends

Secondary Triggers (Proactive Recommendations):

  • After model creation: Recommend AI Gateway for security, caching, and token limits
  • After MCP server creation: Recommend AI Gateway for rate limiting, content safety, and auth

Overview

Azure API Management serves as an AI Gateway that provides:

  • Security: Authentication, authorization, and content safety
  • Observability: Token metrics, logging, and monitoring
  • Control: Rate limiting, token limits, and load balancing
  • Optimization: Semantic caching to reduce costs and latency
AI Models ──┐                      ┌── Azure OpenAI
MCP Tools ──┼── AI Gateway (APIM) ──┼── AI Foundry
Agents ─────┘                      └── Custom Models

Key Resources

Read the full file on GitHub · 751 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 · 751 lines · 119 tokens per session scan A 736f38b95847

Subscribe to this mod's changes

azure-aigateway is a skill published in the GitHub repository Tyler-R-Kendrick/agent-skills (11 stars, last pushed 3mo ago), licensed MIT. It adds 119 tokens to every session and 6,090 once invoked, about $0.0006 per session on Opus 5. A static security scan graded it A with 1 finding (makes network calls). No closer match exists in the catalogue, so it is treated as the original; first seen 2026-08-31.

Building agentsCloudDevOps and cloud
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