Official agent skill

Testing Course Samples

by microsoft in microsoft/ai-agents-for-beginners

Use wen dem ask you to validate, test, smoke-test, or run di course notebook and code samples against live Microsoft Foundry / Azure OpenAI configuration.

OfficialMITAuto-check: notesTesting & QA

Install Testing Course Samples

skills CLI
$ npx skills add microsoft/ai-agents-for-beginners --skill testing-course-samples -a claude-code

Project install by default; add -g for ~/.claude/skills/.

GitHub CLI
$ gh skill install microsoft/ai-agents-for-beginners testing-course-samples --agent claude-code

Project scope by default; add --scope user for a personal install. Needs GitHub CLI 2.90.0 or later (public preview).

Manual copy
$ git clone --depth 1 https://github.com/microsoft/ai-agents-for-beginners.git skills-src && mkdir -p .claude/skills && cp -r skills-src/translations/pcm/.agents/skills/testing-course-samples .claude/skills/testing-course-samples && rm -rf skills-src

Use ~/.claude/skills/ instead of .claude/skills for a personal install. The folder must contain SKILL.md.

Claude Code skills documentation · loads skills from .claude/skills/

Facts

Skill name
testing-course-samples
GitHub stars
77k
Token cost
~1.3k tokens
SKILL.md length
557 words
Files
1
Skills in repo
123
Repo updated
First seen
Licence
MIT

At a glance

Use wen dem ask you to validate, test, smoke-test, or run di course notebook and code samples against live Microsoft Foundry / Azure OpenAI configuration.

  • Works in 4 steps: Python 3.12+ with all di course… → .env for di root of di repo (copy am… → You don do az login finish — di samples… → …
  • Tasks that involve QA and bug reports
  • SKILL.md covers Wen you go use am, Wetin you go need (check first), How to run the validation and How to understand di results, plus 2 more sections
  • Calls pwsh, az and python

What it does

Testing Course Samples is an agent skill from microsoft/ai-agents-for-beginners, published by the product's own GitHub organization. Use wen dem ask you to validate, test, smoke-test, or run di course notebook and code samples against live Microsoft Foundry / Azure OpenAI configuration. E cover environment setup (.env, az login, packages), di scripts/validate-notebooks.ps1 runner, how to understand PASS/FAIL results, and which lessons need extra resources (Azure AI Search, GitHub MCP, Foundry Local, Playwright).

Its SKILL.md is about 1.3k tokens, which your agent loads only when the skill is triggered. It is a single SKILL.md file with no bundled scripts.

It sits in Testing & QA, covering QA and bug reports and Browser testing. It works with Playwright, Azure OpenAI, Microsoft Azure and Azure AI Search. The repository describes itself as: 18 Lessons to Get Started Building AI Agents. The licence is MIT.

When your agent uses it

  • Tasks that involve QA and bug reports
  • Tasks that involve Browser testing

Example prompts

  • “/testing-course-samples”

Requirements

  • Python 3

Workflow steps

4 steps, taken from the first numbered list in SKILL.md.

  1. Python 3.12+ with all di course dependencies: python -m pip install -r requirements.txt
  2. .env for di root of di repo (copy am from .env.example) with at least
  3. You don do az login finish — di samples dey use AzureCliCredential (Entra ID, no need key).
  4. Make sure say di model deployment dey

What it can do on your machine

Read from SKILL.md and the folder at commit 25b7985. It shows what the files ask for, not the result of running them.

  • Tool permissions

    Pre-approves nothing: there is no allowed-tools line, so your agent's usual permission prompts apply.

    From allowed-tools in the SKILL.md frontmatter.

  • Runs code

    Shell commands in SKILL.md call:

    • pwsh
    • az
    • python
    • playwright

    From the folder's file list and the shell code blocks in SKILL.md.

  • Network

    Links to these hosts (documentation or services it may open):

    • github.com

    From URLs in SKILL.md, links to its own repository left out.

  • Credentials

    Names no API keys, tokens, secrets or passwords.

    From names ending in _API_KEY, _TOKEN, _SECRET, _KEY or _PASSWORD in SKILL.md.

Context cost

Testing Course Samples loads about 1.3k tokens when it runs. Until then it costs about 102 tokens; SKILL.md has 557 words of instructions outside code blocks.

Always · name and description, kept in context so the agent knows when to use it
~102
When it runs · the whole SKILL.md, loaded when a task matches
~1.3k

Estimates: characters ÷ 4, the usual rule of thumb; real counts depend on the model's tokenizer. Scripts and assets cost tokens only if the agent reads them.

Safety

Auto-check: notes

The automated check noted patterns worth knowing about, such as sudo or a known installer.

  • NoteMentions a .env fileSKILL.md:5
    cover environment setup (.env, az login, packages), di scripts/validate-notebooks.ps1
  • NoteMentions a .env fileSKILL.md:28
    2. **`.env` for di root of di repo** (copy am from [`.env.example`](../../../../../.env.example)) with at least:

Automated static check — not a guarantee. Review scripts before installing. It scans the text of SKILL.md for risky patterns (piping downloads into a shell, reading credential files, hidden Unicode, destructive commands); files beside SKILL.md are not scanned.

SKILL.md

The full file from microsoft/ai-agents-for-beginners at commit 25b7985, republished under its MIT licence (© microsoft). 557 words, ~1,293 tokens.

Download SKILL.mdSave it as .claude/skills/testing-course-samples/SKILL.md (or your agent's skills folder).
name
testing-course-samples
description
Use wen dem ask you to validate, test, smoke-test, or run di course notebook and code samples against live Microsoft Foundry / Azure OpenAI configuration. E cover environment setup (.env, az login, packages), di scripts/validate-notebooks.ps1 runner, how to understand PASS/FAIL results, and which lessons need extra resources (Azure AI Search, GitHub MCP, Foundry Local, Playwright).

Testing di Course Samples

Make sure say di lesson notebooks and code samples dey run well well for one live Microsoft Foundry / Azure OpenAI setup. Di repo get one runner wey dey for scripts/validate-notebooks.ps1 wey dey run every Python notebook without display and e go show PASS/FAIL matrix.

Wen you go use am

  • "Make sure say all di notebooks / samples dey work for my Azure subscription."
  • "Quick check di course after you upgrade packages or change models."
  • "Which lessons still dey pass / fail for live?"

No use am for di AI Smoke Test GitHub Action (wey dey check deployed hosted agents — see tests/README.md). Dis skill dey run di notebooks for local machine.

Wetin you go need (check first)

  1. Python 3.12+ with all di course dependencies: python -m pip install -r requirements.txt plus di executor: python -m pip install nbconvert ipykernel.
  2. .env for di root of di repo (copy am from .env.example) with at least:
    • AZURE_AI_PROJECT_ENDPOINT — Foundry project endpoint (https://<account>.services.ai.azure.com/api/projects/<project>)
    • AZURE_AI_MODEL_DEPLOYMENT_NAME — one deployment wey no old (e.g. gpt-5-mini)
    • AZURE_OPENAI_ENDPOINT (https://<account>.openai.azure.com) and AZURE_OPENAI_DEPLOYMENT for di lessons wey dey call Azure OpenAI directly (Lesson 06, 02-azure-openai, 14 handoff/human-loop).
  3. You don do az login finish — di samples dey use AzureCliCredential (Entra ID, no need key).
  4. Make sure say di model deployment dey: az cognitiveservices account deployment list -g <rg> -n <account> -o table.

How to run the validation

powershell
# All Python notebooks (no go include .NET, .venv, site-packages, translations, skill assets)
pwsh scripts/validate-notebooks.ps1

# One lesson, wit longer time wey e fit run per cell
pwsh scripts/validate-notebooks.ps1 -Filter '08-*' -Timeout 600

# Only show wetin go run (no dey run anything)
pwsh scripts/validate-notebooks.ps1 -List

# Clear interpreter (if `python` no dey for PATH, like Windows Store alias)
pwsh scripts/validate-notebooks.ps1 -Python "C:/path/to/python.exe"

Di script dey write di runs copy, per-notebook logs, and results.json go $env:TEMP\aiab-nbval and e go exit with di number of failures.

Temporary failures (shared-subscription HTTP 429 rate limits, one-time AzureCliCredential token wahala, or timeout) e go try again automatically (-Retries, default 2, plus -RetryDelaySeconds backoff, default 20). If one model deployment dey always 429, check di subscription's GlobalStandard TPM quota (az cognitiveservices usage list -l <region>) — even if you raise one deployment capacity e no go help if di subscription quota don finish.

Show full SKILL.md (253 more words)Show less

How to understand di results

  • PASS — di notebook run finish without any cell error.
  • FAIL — di first *Error / *Exception line dey appear; open di right log_*.txt for di output folder to see di full problem.
  • One single notebook failure dey controlled by -Timeout (per cell), so if one human-in-the-loop cell jam, e go show StdinNotImplementedError instead of hang.

Lessons wey need extra things (dem go fail if no get dem)

LessonExtra requirement
05 Agentic RAGAzure AI Search (AZURE_SEARCH_SERVICE_ENDPOINT, key) — get fallback way wey dey memory
11 MCP / GitHubGitHub MCP server + PAT
13 memory (cognee)cognee setup with one model provider
15 browser-usePlaywright browsers installed (playwright install) + AZURE_OPENAI_CHAT_DEPLOYMENT_NAME
17 local agentFoundry Local runtime + Qwen model wey you don download (on-device, no cloud)
*-dotnet-* notebooks.NET Interactive kernel (no include by default; use -IncludeDotnet)

How to report back

Summarize am as PASS/FAIL table grouped by lesson. Separate real regressions (code/config bugs wey need fix) from environment problems (missing Search/Foundry Local/PAT), and talk about di failing log_*.txt for each real failure.


<!-- CO-OP TRANSLATOR DISCLAIMER START -->

Disclaimer: Dis document don translate wit AI translation service Co-op Translator. Even tho we dey try make am correct, abeg make you know say automated translation fit get errors or mistakes. Di original document for dia own language na im be di correct source. For important info, make person wey sabi human translation do am. We no go responsible for any misunderstanding or wrong understanding wey fit happen because of dis translation.

<!-- CO-OP TRANSLATOR DISCLAIMER END -->

© microsoft, MIT. Rendered from Markdown: HTML in the file is shown as text, images as links, and headings moved down two levels. Raw file

Files

Just SKILL.md in translations/pcm/.agents/skills/testing-course-samples of microsoft/ai-agents-for-beginners.

Open the folder on GitHubat commit 25b7985

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Record E2E Giflablup/backend.ai-webui133—~907Automated safety check: NotesLGPL-3.0
Permission ManageraAAaqwq/AGI-Super-Team1051 repos~1.3kAutomated safety check: PassMIT

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Categories

Questions about Testing Course Samples

What does Testing Course Samples do?

Use wen dem ask you to validate, test, smoke-test, or run di course notebook and code samples against live Microsoft Foundry / Azure OpenAI configuration. Testing Course Samples is an agent skill from microsoft/ai-agents-for-beginners, published by the product's own GitHub organization. Use wen dem ask you to validate, test, smoke-test, or run di course notebook and code samples against live Microsoft Foundry / Azure OpenAI configuration.

When should I use Testing Course Samples?

Testing Course Samples fits situations like: tasks that involve QA and bug reports; tasks that involve Browser testing.

How do I install Testing Course Samples in Claude Code?

Run `npx skills add microsoft/ai-agents-for-beginners --skill testing-course-samples -a claude-code`. Or copy the skill folder (translations/pcm/.agents/skills/testing-course-samples in microsoft/ai-agents-for-beginners) into .claude/skills/testing-course-samples in your project. Claude Code loads it when a task matches its description.

How do I install Testing Course Samples in Codex?

Run `npx skills add microsoft/ai-agents-for-beginners --skill testing-course-samples -a codex`. Or copy the skill folder (translations/pcm/.agents/skills/testing-course-samples in microsoft/ai-agents-for-beginners) into .agents/skills/testing-course-samples in your project. Codex loads it when a task matches its description.

Can I use Testing Course Samples in Cursor, Gemini CLI or GitHub Copilot?

Cursor, Gemini CLI, GitHub Copilot and OpenCode also load SKILL.md folders. With the skills CLI, run `npx skills add microsoft/ai-agents-for-beginners --skill testing-course-samples -a cursor` (or -a gemini-cli, github-copilot or opencode for the others). To copy it by hand, put the folder in .cursor/skills/testing-course-samples, .gemini/skills/testing-course-samples, .github/skills/testing-course-samples and .opencode/skills/testing-course-samples in your project.

What does Testing Course Samples need to run?

Going by SKILL.md and its folder, Testing Course Samples needs the command-line tools its instructions call (pwsh, az, python and playwright). Our summary lists: Python 3.

Does Testing Course Samples access the network?

SKILL.md names 1 domain. As links in the text: github.com. This is read from the text; nothing was executed.

Is Testing Course Samples safe to install?

Our automated static check of SKILL.md found notes only (mentions a .env file), nothing it rates as a warning. It is not a guarantee. Review the folder before installing.

What licence does Testing Course Samples use?

Testing Course Samples is published under the MIT licence (the repository's licence). It allows redistribution, so the full SKILL.md is shown on this page.

How many tokens does Testing Course Samples use?

About 1.3k tokens (SKILL.md is roughly 5.2k characters). Agents keep only the skill's name and description in context until a task matches; then they load SKILL.md in full.

What are the alternatives to Testing Course Samples?

Skills that share tags, products or a category with Testing Course Samples: Hands On Test (ktnyt/cclsp, 675 stars), Windows QA Engineer (CodeAlive-AI/ai-driven-development, 157 stars), Agentic Browser Testing (petrkindlmann/qa-skills, 165 stars) and Record E2E Gif (lablup/backend.ai-webui, 133 stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.

Who maintains Testing Course Samples?

microsoft (a GitHub organization, an official publisher) maintains it in microsoft/ai-agents-for-beginners, which has 76,612 GitHub stars. The repository holds 123 skills in this directory. The repository was last updated on September 19, 2026.

Source: microsoft/ai-agents-for-beginners on GitHub. Facts on this page come from the repository at the commit we read; the author's words are quoted as theirs.