AAS Core is a local control plane for coding agents that lets them search a large catalogue of skills, choose a stack, validate it, and create a reproducible plan. It is used to assemble and review agent workflows through its CLI, local MCP server, catalogue, plugins, and Workbench. The catalogue add-ons provide the skills, plugins, bundles, and workflows that AAS Core helps agents select and validate.
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 sickn33/agentic-awesome-skills --skill agent-framework-azure-ai-pygit clone --depth 1 https://github.com/sickn33/agentic-awesome-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/sickn33/agentic-awesome-skills/agent-framework-azure-ai-py)<a href="https://agentmods.dev/skills/sickn33/agentic-awesome-skills/agent-framework-azure-ai-py"><img src="https://agentmods.dev/badge/skills/sickn33/agentic-awesome-skills/agent-framework-azure-ai-py/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/sickn33/agentic-awesome-skills/agent-framework-azure-ai-py"><img src="https://agentmods.dev/badge/skills/sickn33/agentic-awesome-skills/agent-framework-azure-ai-py.svg" alt="Reviewed on agentmods" width="80" height="20"></a>- Snyk warn
- 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 | $0.00024 | $0.02508 |
| Opus 5.5 | $0.00010 | $0.01003 |
| Sonnet 5.5 | $0.00005 | $0.00502 |
| Haiku 4.5 | $0.00002 | $0.00251 |
Grade A, and why
agent-framework-azure-ai-py 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 2d 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.
Copies of this mod
8 near-identical copies found in the catalogue:
- agent-framework-azure-ai-py — 100% identical, 31 lines differ
- agent-framework-azure-ai-py — 95% identical, 33 lines differ
- agent-framework-azure-ai-py — 95% identical, 33 lines differ
- agent-framework-azure-ai-py — 95% identical, 33 lines differ
- agent-framework-azure-ai-py — 95% identical, 28 lines differ
- agent-framework-azure-ai-py — 95% identical, 33 lines differ
- agent-framework-azure-ai-py — 95% identical, 33 lines differ
- agent-framework-azure-ai-py — 95% identical, 33 lines differ
How it starts
The opening of the file, as written. The whole thing — 355 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Bundled upstream support
Supporting files are included at skill-relative paths. See UPSTREAM-NOTICE.md for their pinned sources, licenses, hashes, and import changes.
Agent Framework Azure Hosted Agents
Build persistent agents on Azure AI Foundry using the Microsoft Agent Framework Python SDK.
Architecture
User Query → AzureAIAgentsProvider → Azure AI Agent Service (Persistent)
↓
Agent.run() / Agent.run_stream()
↓
Tools: Functions | Hosted (Code/Search/Web) | MCP
↓
AgentThread (conversation persistence)
SDK generation and execution scope
The examples below preserve an older Agent Framework generation (AzureAIAgentsProvider, AgentThread, Hosted*Tool). They are not verified against the current package. Current Microsoft documentation separates model providers from agent services, and the Python README lists agent-framework-foundry. Before adapting these snippets, identify the installed version and use its matching official API/sample; no compatible legacy version is established here. Do not combine the old classes with an unpinned latest install and assume it works.
Choose the exact Azure tenant/project/deployment, principal and least-privilege role. Creating agents, uploading files, enabling code/web/MCP tools and running prompts sends data to services, can persist records and incur charges. Scope authorization, budget, timeout, tool allowlist and resource cleanup first. Closing clients does not delete hosted agents/files/vector stores/threads. Treat retrieved/tool text as untrusted and enforce tenant/resource/action authorization in tools; prompts are not access controls.
Installation
# Current package discovery only; pin reviewed versions in your project lockfile.
# These installs do not make the legacy snippets below compatible.
pip install agent-framework
# Selective current Foundry integration:
pip install agent-framework-foundry
What ships with it
6 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.
- 2d ago Changed · +8 lines 267e46d9cf68
- 12d ago Changed · +3 lines 6d69c532092d
- 1mo ago First seen · 344 lines · 24 tokens per session scan A 80e516162fbe
agent-framework-azure-ai-py is a skill published in the GitHub repository sickn33/agentic-awesome-skills (48,548 stars, last pushed 2d ago), licensed MIT. It adds 24 tokens to every session and 2,508 once invoked, about $0.0001 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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