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testing-course-samples Skill

AI Agent SkillJupyter NotebookOpen source

Use when asked to validate, test, smoke-test, or run the course's notebook and code samples against a live Microsoft Foundry / Azure OpenAI configuration. Covers environment setup (.env, az login, packages), the scripts/validate-notebooks.ps1 runner, interpreting PASS/FAIL results, and which lessons need extra resource Published by microsoft in ai-agents-for-beginners.

What is testing-course-samples Skill?

Use when asked to validate, test, smoke-test, or run the course's notebook and code samples against a live Microsoft Foundry / Azure OpenAI configuration. Covers environment setup (.env, az login, packages), the scripts/validate-notebooks.ps1 runner, interpreting PASS/FAIL results, and which lessons need extra resource Published by microsoft in ai-agents-for-beginners. This profile combines repository metadata with install, compatibility, and usage signals so developers can quickly decide whether it fits their agent workflow before opening the source repository.

Trust signal
95/100
Maintenance signal
90/100
Adoption signal
100/100

Automated repository signals based on public metadata such as recency, license, installation evidence, and adoption. These are not a security audit or endorsement.

Key capabilities

  • Includes SKILL.md support
  • Reusable instructions support
  • Testing
  • Testing use cases

Technical details

Copy skill directory
  • Install or run with Copy skill directory

When to use testing-course-samples Skill

  • Use it for testing.

Built with

Jupyter NotebookCopy skill directory

Editorial notes

Source

  • Creator: microsoft
  • Repository: microsoft/ai-agents-for-beginners
  • Skill file: translations/en/.agents/skills/testing-course-samples/SKILL.md

What it does

Use when asked to validate, test, smoke-test, or run the course's notebook and code samples against a live Microsoft Foundry / Azure OpenAI configuration. Covers environment setup (.env, az login, packages), the scripts/validate-notebooks.ps1 runner, interpreting PASS/FAIL results, and which lessons need extra resource

Skill instructions

Testing the Course Samples Validate that the lesson notebooks and code samples run against a live Microsoft Foundry / Azure OpenAI setup. The repo ships a runner at scripts/validate-notebooks.ps1 that executes every Python notebook headlessly and prints a PASS/FAIL matrix. When to use - "Validate all the notebooks / samples against my Azure subscription." - "Smoke-test the course after upgrading packages or changing models." - "Which lessons still pass / fail live?" Do not use this for the AI Smoke Test GitHub Action (that validates deployed hosted agents — see tests/README.md). This skill runs the notebooks locally. Prerequisites (check first) 1. Python 3.12+ with course deps: python -m pip install -r requirements.txt plus the executor: python -m pip install nbconvert ipykernel. 2. .env at the repo root (copy from .env.example) with at least: - AZUREAIPROJECTENDPOINT — Foundry project endpoint (https://<account.services.ai.azure.com/api/projects/<project) - AZUREAIMODELDEPLOYMENTNAME

Explore related resources

Frequently asked questions

What is testing-course-samples?

testing-course-samples is a open-source AI agent skill with Copy skill directory. Use when asked to validate, test, smoke-test, or run the course's notebook and code samples against a live Microsoft Foundry / Azure OpenAI configuration.

Who is testing-course-samples best for?

testing-course-samples is best for reusing agent instructions, scripts, and references, testing workflows.

How do I install testing-course-samples?

Install or run testing-course-samples using Copy skill directory. Check testing-course-samples for the latest setup command.

Is testing-course-samples actively maintained?

testing-course-samples may need a closer maintenance check before production use.

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Last commit
9 days ago
Repository age
2 years
License
MIT

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testing-course-samples: Install, Config & GitHub Signals – SkillIndex