Borrowing it
Nothing to install: this file belongs to Azure-Samples/AI-Gateway. Take a copy, put it at the same path in your own repository, and replace the rules that are about this project with yours.
curl -O https://raw.githubusercontent.com/Azure-Samples/AI-Gateway/main/.github/skills/lab-creator/SKILL.mdgit clone --depth 1 https://github.com/Azure-Samples/AI-GatewayWrote 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/azure-samples/ai-gateway/lab-creator)<a href="https://agentmods.dev/skills/azure-samples/ai-gateway/lab-creator"><img src="https://agentmods.dev/badge/skills/azure-samples/ai-gateway/lab-creator.svg" alt="Measured on agentmods" height="20"></a>- NVIDIA SkillSpector pass
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 | $0.00064 | $0.03761 |
| Opus 5 | $0.00032 | $0.01880 |
| Sonnet 5 | $0.00013 | $0.00752 |
| Haiku 4.5 | $0.00006 | $0.00376 |
Grade A, and why
lab-creator 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 8d 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.
How it starts
The opening of the file, as written. The whole thing — 409 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Lab Creator
This skill provides guidance for creating new labs in the AI Gateway repository.
Lab Structure
Every lab follows a consistent structure under labs/<lab-name>/:
labs/<lab-name>/
├── <lab-name>.ipynb # Main Jupyter notebook (required)
├── main.bicep # Azure Bicep deployment template (required)
├── policy.xml # Azure API Management policy (required)
├── README.md # Lab documentation (required)
├── clean-up-resources.ipynb # Cleanup notebook (required)
├── params.json # Auto-generated, not committed
└── src/ # Supporting source code (optional)
Creating a New Lab
Step 1: Create Lab Directory
Create a new folder under labs/ with a descriptive kebab-case name:
labs/<your-lab-name>/
Step 2: Create the Main Jupyter Notebook
Create <lab-name>.ipynb with these standard sections:
Header Cell (Markdown)
# APIM ❤️ Microsoft Foundry
## <Lab Title> lab
<Brief description of what this lab demonstrates>
### Prerequisites
- [Python 3.12 or later version](https://www.python.org/) installed
- [VS Code](https://code.visualstudio.com/) installed with the [Jupyter notebook extension](https://marketplace.visualstudio.com/items?itemName=ms-toolsai.jupyter) enabled
- [uv](https://docs.astral.sh/uv/) — run `uv sync` from the repo root to install dependencies
- [An Azure Subscription](https://azure.microsoft.com/free/) with [Contributor](https://learn.microsoft.com/en-us/azure/role-based-access-control/built-in-roles/privileged#contributor) + [RBAC Administrator](https://learn.microsoft.com/en-us/azure/role-based-access-control/built-in-roles/privileged#role-based-access-control-administrator) or [Owner](https://learn.microsoft.com/en-us/azure/role-based-access-control/built-in-roles/privileged#owner) roles
- [Azure CLI](https://learn.microsoft.com/cli/azure/install-azure-cli) installed and [Signed into your Azure subscription](https://learn.microsoft.com/cli/azure/authenticate-azure-cli-interactively)
▶️ Click `Run All` to execute all steps sequentially, or execute them `Step by Step`...
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.
- 8d ago First seen · 409 lines · 64 tokens per session scan A ecd05ce630c2
lab-creator is a skill published in the GitHub repository Azure-Samples/AI-Gateway (983 stars, last pushed 1mo ago), licensed MIT. It adds 64 tokens to every session and 3,761 once invoked, about $0.0003 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.
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