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 korchard333/claude-power-platform-community --skill azure-openaigit clone --depth 1 https://github.com/korchard333/claude-power-platform-communityWrote 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/korchard333/claude-power-platform-community/azure-openai)<a href="https://agentmods.dev/skills/korchard333/claude-power-platform-community/azure-openai"><img src="https://agentmods.dev/badge/skills/korchard333/claude-power-platform-community/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/korchard333/claude-power-platform-community/azure-openai"><img src="https://agentmods.dev/badge/skills/korchard333/claude-power-platform-community/azure-openai.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 | $0.00061 | $0.00918 |
| Opus 5.5 | $0.00024 | $0.00367 |
| Sonnet 5.5 | $0.00012 | $0.00184 |
| Haiku 4.5 | $0.00006 | $0.00092 |
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 2mo 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 — 69 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Skill: Azure OpenAI Integration
When to Use
Trigger when integrating Azure OpenAI (or AI Foundry models) with Power Platform — from Power Automate flows, Code Apps, Copilot Studio agents, or when making architecture decisions about which AI approach to use.
Integration Patterns
| Pattern | Description | Best For |
|---|---|---|
| AI Builder prompts | Low-code GPT prompts in flows/apps | Simple text generation, classification, extraction |
| Azure AI Foundry connector | Power Automate connector to AOAI | Flow-based AI with premium connector |
| HTTP connector to AOAI | Direct REST calls to AOAI endpoint | Full control, streaming, advanced parameters |
| Custom API + Azure Function | Server-side AI calls exposed via Custom API | Code Apps, secure key management, streaming |
| Copilot Studio BYOM | Custom model for agent responses/prompts | Domain-specific agent behavior |
| Copilot Studio generative actions | AI selects actions dynamically | Context-dependent automation |
⚠️ REQUIRED: Load Sub-Files Before Implementation
SKILL.md is a summary only — it is NOT sufficient for implementation.
The detailed content (complete payloads, XML templates, working examples, edge-case handling) lives in sub-files in the same directory as this SKILL.md. Before writing any code, you MUST use read_file on the sub-files relevant to your task:
- Power Automate + AI — AI Foundry connector in flows, HTTP connector to AOAI endpoints, prompt patterns, retry/fallback, structured output parsing, token limit management
- Code Apps + AI — AOAI from Code Apps via Custom API or Azure Function (never client-side keys), streaming responses, chat UI patterns, React hooks for AI calls
- Copilot Studio BYOM — Bring Your Own Model for prompts and response generation, AI Foundry model configuration, testing, monitoring token usage
- AI Architecture Decisions — decision tree: Copilot Studio agent vs Azure AI Foundry agent vs Power Automate Agent Flow vs AI Builder vs direct AOAI, licensing implications, data residency
What ships with it
5 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.
- 2mo ago First seen · 69 lines · 61 tokens per session scan A 7e9bbf392fb1
azure-openai is a skill published in the GitHub repository korchard333/claude-power-platform-community (50 stars, last pushed 6mo ago), licensed MIT. It adds 61 tokens to every session and 918 once invoked, about $0.0002 per session on Opus 5.5. 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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