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 ashish7802/awesome-api-skills --skill azure-openaigit clone --depth 1 https://github.com/ashish7802/awesome-api-skillsWrote 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/ashish7802/awesome-api-skills/azure-openai)<a href="https://agentmods.dev/skills/ashish7802/awesome-api-skills/azure-openai"><img src="https://agentmods.dev/badge/skills/ashish7802/awesome-api-skills/azure-openai/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/ashish7802/awesome-api-skills/azure-openai"><img src="https://agentmods.dev/badge/skills/ashish7802/awesome-api-skills/azure-openai.svg" alt="Reviewed on agentmods" width="80" 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 | $0.00000 | $0.00569 |
| Opus 5 | $0.00000 | $0.00284 |
| Sonnet 5 | $0.00000 | $0.00114 |
| Haiku 4.5 | $0.00000 | $0.00057 |
Grade A, and why
azure-openai 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 11d 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 — 59 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Azure OpenAI API Skill
Quick Start
Azure OpenAI provides the same models as OpenAI (GPT-4) but within the Azure compliance boundary, utilizing Active Directory and custom domain endpoints.
npm install openai
Common Workflows
Enterprise Model Deployment
Unlike the public OpenAI API, Azure requires you to explicitly deploy a model in your resource. You must use your unique Deployment ID rather than the generic model name (e.g., gpt-4) in your API calls.
Production Patterns
Content Filtering
Azure OpenAI applies aggressive, customizable content filters. You can detect if a response was filtered by inspecting the finish_reason which will evaluate to content_filter instead of stop.
Error Recovery
Handle 429 Too Many Requests. Azure OpenAI rate limits are based on Tokens-Per-Minute (TPM) assigned to your deployment. If you exceed this, you must retry. Use the @azure/core-rest-pipeline to inject automated retry policies.
Security Notes
Avoid static API keys. Use Managed Identities (Entra ID / Azure AD) to authenticate your application servers to the Azure OpenAI endpoint securely without rotating secrets.
Performance Considerations
Latency is heavily dependent on the Azure region. Deploy your models in the same region as your application servers to minimize network RTT (Round Trip Time).
Testing Guidance
Use the official OpenAI SDK, but configure the baseURL and defaultHeaders to point to your Azure endpoint (https://<resource>.openai.azure.com/openai/deployments/<deployment>).
Troubleshooting
If you receive a 'Resource not found' error, verify that the api-version query parameter is correct and supported by your specific model deployment.
References
Related Skills
Why use this skill
Use this when your agent works with azure-openai — structured patterns beat pasted docs and prevent common hallucinations.
What ships with it
7 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.
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.
- 11d ago First seen · 59 lines · 0 tokens per session scan A cc86f51be3ac
azure-openai is a skill published in the GitHub repository ashish7802/awesome-api-skills (13 stars, last pushed today), licensed MIT. It costs nothing until one of its globs matches a file; then it loads 569 tokens. 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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