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.
npx skills add jonathan-vella/apex-accelerator --skill azure-aigatewaygit clone --depth 1 https://github.com/jonathan-vella/apex-acceleratorWrote 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/skills/jonathan-vella/apex-accelerator/azure-aigateway)<a href="https://agentmods.dev/skills/jonathan-vella/apex-accelerator/azure-aigateway"><img src="https://agentmods.dev/badge/skills/jonathan-vella/apex-accelerator/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.
<a href="https://agentmods.dev/skills/jonathan-vella/apex-accelerator/azure-aigateway"><img src="https://agentmods.dev/badge/skills/jonathan-vella/apex-accelerator/azure-aigateway.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 | $0.00090 | $0.01415 |
| Opus 5 | $0.00045 | $0.00707 |
| Sonnet 5 | $0.00018 | $0.00283 |
| Haiku 4.5 | $0.00009 | $0.00142 |
Grade A, and why
azure-aigateway scanned grade A with 1 finding against 26 rules in 11 categories — prompt injection, anti-refusal, data exfiltration, privilege escalation, supply chain, agent snooping, system-prompt leakage, SSRF and excessive agency — measured 10d ago.
A static scan of the body, not an audit. Every finding is printed with the line that produced it so you can judge whether it matters here. A mod is markdown that instructs an agent; that is exactly why what it instructs is worth reading.
Makes network callslowCapability
Not a fault in itself. Listed so you know the mod talks to something, and to what.
curl -X POST "${GATEWAY_URL}/openai/deployments/<deployment>/chat/completions?api-version=2024-02-01" \ This is a copy
92% identical to azure-aigateway — 53 lines differ, which has more behind it and is treated as the original. This page carries a canonical link to it rather than competing with it.
How it starts
The opening of the file, as written. The whole thing — 141 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Azure AI Gateway
Configure Azure API Management (APIM) as an AI Gateway for governing AI models, MCP tools, and agents.
To deploy APIM, use the azure-prepare skill. See APIM deployment guide.
When to Use This Skill
| Category | Triggers |
|---|---|
| Model Governance | "semantic caching", "token limits", "load balance AI", "track token usage" |
| Tool Governance | "rate limit MCP", "protect my tools", "configure my tool", "convert API to MCP" |
| Agent Governance | "content safety", "jailbreak detection", "filter harmful content" |
| Configuration | "add Azure OpenAI backend", "configure my model", "add AI Foundry model" |
| Testing | "test AI gateway", "call OpenAI through gateway" |
Quick Reference
| Policy | Purpose | Details |
|---|---|---|
azure-openai-token-limit |
Cost control | Model Policies |
azure-openai-semantic-cache-lookup/store |
60-80% cost savings | Model Policies |
azure-openai-emit-token-metric |
Observability | Model Policies |
llm-content-safety |
Safety & compliance | Agent Policies |
rate-limit-by-key |
MCP/tool protection | Tool Policies |
What ships with it
10 files beside SKILL.md in the same directory: the scripts, references and assets a skill reads on demand. Not counted in the per-session cost; read them before you install if any of them is executable.
- references/auth-best-practices.md 6.4 KB
- references/patterns.md 6.7 KB
- references/policies.md 10 KB
- references/sdk/azure-ai-contentsafety-py.md 1.3 KB
- references/sdk/azure-ai-contentsafety-ts.md 1.4 KB
- references/sdk/azure-mgmt-apimanagement-dotnet.md 1.3 KB
- references/sdk/azure-mgmt-apimanagement-py.md 1.0 KB
- references/troubleshooting.md 8.8 KB
- SKILL.digest.md 3.2 KB
- SKILL.minimal.md 535 B
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.
- 10d ago First seen · 141 lines · 90 tokens per session scan A 01d1d2401779
azure-aigateway is a skill published in the GitHub repository jonathan-vella/apex-accelerator (50 stars, last pushed 3d ago), licensed MIT. It adds 90 tokens to every session and 1,415 once invoked, about $0.0005 per session on Opus 5. A static security scan graded it A with 1 finding (makes network calls). It is 92% identical to azure-aigateway, differing in 53 lines, and is treated as a copy.
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