Skills azure-ai-projects-py

📦

azure-ai-projects-py

Name: azure-ai-projects-py
Author: sickn33

Content revision r2 Safe ⚙️ External commands🌐 Network access🔑 Env variables

Build Azure AI Projects Applications in Python

Microsoft Foundry applications require coordinated setup for clients, agents, tools, threads, data, and evaluations. This skill provides focused Python patterns using the Azure AI Projects SDK.

Supports: Claude Codex Code(CC)

🥉 78 Bronze

Install with my Agent

Copy this request to your Agent. It includes the canonical Skill page and manifest.

Agent request

Review the Skillstore skill "azure-ai-projects-py" from https://skillstore.io/skills/sickn33-azure-ai-projects-py.md and its manifest at https://skillstore.io/api/skills/sickn33-azure-ai-projects-py/manifest. Verify the artifact. You may proceed after verification, subject to the environment's own policy.

Your Agent should still show its plan and request any confirmation required by the security policy.

Agent-readable resources

Use these links when an AI agent, crawler, or script needs clean context instead of reading the full page.

Markdown detail GET /skills/sickn33-azure-ai-projects-py.md Signed manifest GET /api/skills/sickn33-azure-ai-projects-py/manifest Signed lockfile GET /api/skills/sickn33-azure-ai-projects-py/lockfile

Test it

Using "azure-ai-projects-py". Create a customer support agent using the current model deployment.

Expected outcome:

A concise plan covering authenticated client creation, versioned agent definition, thread execution, response handling, and agent cleanup.

Using "azure-ai-projects-py". Compare the native Foundry client with the OpenAI-compatible client.

Expected outcome:

Use the native client for Foundry agents, resources, connections, and deployments.
Use the OpenAI-compatible client for familiar chat completion and evaluation interfaces.

Using "azure-ai-projects-py". Plan a production evaluation workflow for an asynchronous agent.

Expected outcome:

A workflow describing client lifecycle, versioned agents, evaluation criteria, status checks, failure handling, and temporary resource cleanup.

Security Audit

Safe

v5 • 7/23/2026 Open versioned report

All 52 external-command alerts are false positives caused by Markdown code fences and inline code; no backtick execution is present. The placeholder URL and nine environment reads use expected Azure configuration values. No prompt injection, credential exfiltration, or malicious intent was found.

Files scanned

306

Lines analyzed

Review items

False positives ignored

Risk Factors

⚙️ External commands (50)

🌐 Network access (1)

SKILL.md:22

🔑 Env variables (9)

SKILL.md:35 SKILL.md:60 SKILL.md:66 SKILL.md:80 SKILL.md:91 SKILL.md:103 SKILL.md:119 SKILL.md:238 SKILL.md:257

No confirmed security findings were detected by the latest completed static and semantic audit. This does not prove the skill has no side effects.

Audited by: codex View Audit History →

Share & cite this report

Share the versioned assessment report, neutral badge, embed card, and citations. Skillstore reports evidence without deciding whether this Skill is safe.

Open versioned report

Copy report link

https://skillstore.io/skills/sickn33-azure-ai-projects-py/audits/5?utm_source=security_passport&utm_medium=share&utm_campaign=versioned_report

Markdown badge

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Academic citations (APA · BibTeX · CFF)

APA citation

sickn33. (2026). azure-ai-projects-py security audit report (audit version 5) [Author version unspecified]. Skillstore. https://skillstore.io/skills/sickn33-azure-ai-projects-py/audits/5

BibTeX citation

@techreport{sickn33-sickn33-azure-ai-projects-py-2026,
  author = {sickn33},
  title = {azure-ai-projects-py security audit report (audit version 5)},
  institution = {Skillstore},
  year = {2026},
  number = {5},
  url = {https://skillstore.io/skills/sickn33-azure-ai-projects-py/audits/5},
  note = {Author version unspecified}
}

CITATION.cff

cff-version: 1.2.0
message: "If you use this Skill, cite its author and this versioned security audit report."
title: "azure-ai-projects-py security audit report (audit version 5)"
version: "unspecified"
type: report
authors:
  - name: "sickn33"
date-released: "2026-07-23"
url: "https://skillstore.io/skills/sickn33-azure-ai-projects-py/audits/5"
identifiers:
  - type: other
    value: "skillstore:sickn33-azure-ai-projects-py:audit:5"
    description: "Skillstore immutable audit report identifier"

Skillstore Score

Why this score Evidence Confidence: High

Architecture

Maintainability

Content

Community

Spec Compliance

What You Can Build

Prototype a Foundry agent

Create a basic Python agent, send a message, process a run, and inspect the response.

Standardize project integrations

Select client patterns for connections, deployments, datasets, indexes, evaluations, and asynchronous resource management.

Evaluate agent quality

Configure an evaluation run with built-in criteria for fluency and task adherence.

Try These Prompts

Create a basic client

Show me how to authenticate AIProjectClient for {project endpoint} and use the {deployment name} model.

Build an agent conversation

Design a basic agent that handles {task}, creates a thread, sends {message}, processes the run, and returns the response.

Add approved agent tools

Configure an agent for {use case} with {approved tools}. Explain required Azure connections, permissions, cleanup, and data exposure.

Design an evaluated async workflow

Plan an asynchronous, versioned agent for {production goal} with memory and evaluation criteria. Include lifecycle, failure handling, and resource cleanup.

Best Practices

Use DefaultAzureCredential and grant only the Azure roles required by each workflow.
Keep endpoints and deployment names in explicit configuration, and never place credentials in prompts or source files.
Delete temporary agents and test resources, and use asynchronous context managers for reliable client cleanup.

Avoid

Do not enable code, file, network, or connected-data tools without reviewing permissions and data exposure.
Do not assume placeholder examples match every preview SDK release or deployed Azure environment.
Do not expose environment values, connection details, uploaded content, or model responses in logs without review.

Frequently Asked Questions

What do I need before using this skill?

You need Python, an Azure subscription, a Foundry project, a model deployment, valid credentials, and suitable project permissions.

Which authentication method does it use?

The examples use DefaultAzureCredential, which can select supported local or hosted Azure identity sources.

Can it create versioned agents?

Yes. It shows PromptAgentDefinition with create_version and a version label.

Does it support asynchronous applications?

Yes. It demonstrates the asynchronous AIProjectClient with a context manager.

Does the skill execute code automatically?

No. It provides examples, but users control execution and any Azure resources created.

Are all referenced guides and scripts included?

No. The audited package contains only SKILL.md, so referenced files are unavailable here.

Developer Details

Author

sickn33

License

MIT

Skillstore revision

Version notice

The author did not declare a version.

Repository

https://github.com/sickn33/antigravity-awesome-skills/tree/main/skills/azure-ai-projects-py

Ref

f9e2c34b4f19c7f3e6b0a1e93227b5f77cc12526

Maintenance freshness

7/26/2026

Usage

5 downloads · 81 views

File structure

📄 SKILL.md