Hands On Test
ktnyt/cclsp
Performs manual hands-on testing of a web application using playwright-cli.
Koristite kada se zatraži validacija, testiranje, smoke-test ili pokretanje bilježnica i primjera koda tečaja protiv aktivne Microsoft Foundry / Azure OpenAI konfiguracije.
$ npx skills add microsoft/ai-agents-for-beginners --skill testing-course-samples -a claude-codeProject install by default; add -g for ~/.claude/skills/.
$ gh skill install microsoft/ai-agents-for-beginners testing-course-samples --agent claude-codeProject scope by default; add --scope user for a personal install. Needs GitHub CLI 2.90.0 or later (public preview).
$ git clone --depth 1 https://github.com/microsoft/ai-agents-for-beginners.git skills-src && mkdir -p .claude/skills && cp -r skills-src/translations/hr/.agents/skills/testing-course-samples .claude/skills/testing-course-samples && rm -rf skills-srcUse ~/.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/
Install the "testing-course-samples" agent skill from https://github.com/microsoft/ai-agents-for-beginners/tree/main/translations/hr/.agents/skills/testing-course-samples into .claude/skills/testing-course-samples/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "testing-course-samples", then confirm the skill loads.Claude Code copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$skill-installer install https://github.com/microsoft/ai-agents-for-beginners/tree/main/translations/hr/.agents/skills/testing-course-samplesType this inside Codex. $skill-installer <name> installs a curated skill from openai/skills. The installer writes to $CODEX_HOME/skills (default ~/.codex/skills). Restart Codex if the skill does not show up.
$ npx skills add microsoft/ai-agents-for-beginners --skill testing-course-samples -a codexProject install goes to .agents/skills/; add -g for ~/.codex/skills/.
$ gh skill install microsoft/ai-agents-for-beginners testing-course-samples --agent codexProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/microsoft/ai-agents-for-beginners.git skills-src && mkdir -p .agents/skills && cp -r skills-src/translations/hr/.agents/skills/testing-course-samples .agents/skills/testing-course-samples && rm -rf skills-srcUse ~/.agents/skills/ instead of .agents/skills for a personal install.
Codex skills documentation · loads skills from .agents/skills/
Install the "testing-course-samples" agent skill from https://github.com/microsoft/ai-agents-for-beginners/tree/main/translations/hr/.agents/skills/testing-course-samples into .agents/skills/testing-course-samples/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "testing-course-samples", then confirm the skill loads.Codex copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$ npx skills add microsoft/ai-agents-for-beginners --skill testing-course-samples -a cursorProject install goes to .agents/skills/; add -g for ~/.cursor/skills/.
$ gh skill install microsoft/ai-agents-for-beginners testing-course-samples --agent cursorProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/microsoft/ai-agents-for-beginners.git skills-src && mkdir -p .cursor/skills && cp -r skills-src/translations/hr/.agents/skills/testing-course-samples .cursor/skills/testing-course-samples && rm -rf skills-srcUse ~/.cursor/skills/ instead of .cursor/skills for a personal install.
Cursor skills documentation · loads skills from .cursor/skills/, .agents/skills/, .claude/skills/, .codex/skills/
Install the "testing-course-samples" agent skill from https://github.com/microsoft/ai-agents-for-beginners/tree/main/translations/hr/.agents/skills/testing-course-samples into .cursor/skills/testing-course-samples/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "testing-course-samples", then confirm the skill loads.Cursor copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$ gemini skills install https://github.com/microsoft/ai-agents-for-beginners.git --path translations/hr/.agents/skills/testing-course-samples--scope user (default) or --scope workspace; --path is the subfolder of the repo that holds the skill; --consent skips the security confirmation prompt.
$ npx skills add microsoft/ai-agents-for-beginners --skill testing-course-samples -a gemini-cliProject install goes to .agents/skills/; add -g for ~/.gemini/skills/.
$ gh skill install microsoft/ai-agents-for-beginners testing-course-samples --agent gemini-cliProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/microsoft/ai-agents-for-beginners.git skills-src && mkdir -p .gemini/skills && cp -r skills-src/translations/hr/.agents/skills/testing-course-samples .gemini/skills/testing-course-samples && rm -rf skills-srcUse ~/.gemini/skills/ instead of .gemini/skills for a personal install, then run /skills reload.
Gemini CLI skills documentation · loads skills from .gemini/skills/, .agents/skills/
Install the "testing-course-samples" agent skill from https://github.com/microsoft/ai-agents-for-beginners/tree/main/translations/hr/.agents/skills/testing-course-samples into .gemini/skills/testing-course-samples/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "testing-course-samples", then confirm the skill loads.Gemini CLI copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$ gh skill install microsoft/ai-agents-for-beginners testing-course-samplesInstalls for Copilot at project scope by default; add --scope user for a personal install. Preview a skill first with gh skill preview. Needs GitHub CLI 2.90.0 or later (public preview).
$ npx skills add microsoft/ai-agents-for-beginners --skill testing-course-samples -a github-copilotProject install goes to .agents/skills/; add -g for ~/.copilot/skills/.
$ git clone --depth 1 https://github.com/microsoft/ai-agents-for-beginners.git skills-src && mkdir -p .github/skills && cp -r skills-src/translations/hr/.agents/skills/testing-course-samples .github/skills/testing-course-samples && rm -rf skills-srcUse ~/.copilot/skills/ instead of .github/skills for a personal install. Commit .github/skills so cloud agent and code review can use it.
GitHub Copilot skills documentation · loads skills from .github/skills/, .claude/skills/, .agents/skills/
Install the "testing-course-samples" agent skill from https://github.com/microsoft/ai-agents-for-beginners/tree/main/translations/hr/.agents/skills/testing-course-samples into .github/skills/testing-course-samples/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "testing-course-samples", then confirm the skill loads.GitHub Copilot copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$ npx skills add microsoft/ai-agents-for-beginners --skill testing-course-samples -a opencodeOpenCode documents no install command of its own. Project install goes to .agents/skills/; add -g for ~/.config/opencode/skills/.
$ gh skill install microsoft/ai-agents-for-beginners testing-course-samples --agent opencodeProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/microsoft/ai-agents-for-beginners.git skills-src && mkdir -p .opencode/skills && cp -r skills-src/translations/hr/.agents/skills/testing-course-samples .opencode/skills/testing-course-samples && rm -rf skills-srcUse ~/.config/opencode/skills/ instead of .opencode/skills for a personal install.
OpenCode skills documentation · loads skills from .opencode/skills/, .claude/skills/, .agents/skills/
Install the "testing-course-samples" agent skill from https://github.com/microsoft/ai-agents-for-beginners/tree/main/translations/hr/.agents/skills/testing-course-samples into .opencode/skills/testing-course-samples/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "testing-course-samples", then confirm the skill loads.OpenCode copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
testing-course-samplesKoristite kada se zatraži validacija, testiranje, smoke-test ili pokretanje bilježnica i primjera koda tečaja protiv aktivne Microsoft Foundry / Azure OpenAI konfiguracije.
Testing Course Samples is an agent skill from microsoft/ai-agents-for-beginners, published by the product's own GitHub organization. Koristite kada se zatraži validacija, testiranje, smoke-test ili pokretanje bilježnica i primjera koda tečaja protiv aktivne Microsoft Foundry / Azure OpenAI konfiguracije. Obuhvaća postavljanje okruženja (.env, az login, pakete), pokretač scripts/validate-notebooks.ps1, tumačenje PASS/FAIL rezultata i koje lekcije zahtijevaju dodatne resurse (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 GitHub. The repository describes itself as: 18 Lessons to Get Started Building AI Agents. The licence is MIT.
4 steps, taken from the first numbered list in SKILL.md.
Read from SKILL.md and the folder at commit 25b7985. It shows what the files ask for, not the result of running them.
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.
Shell commands in SKILL.md call:
pwshazpythonplaywrightFrom the folder's file list and the shell code blocks in SKILL.md.
Links to these hosts (documentation or services it may open):
github.comFrom URLs in SKILL.md, links to its own repository left out.
Names no API keys, tokens, secrets or passwords.
From names ending in _API_KEY, _TOKEN, _SECRET, _KEY or _PASSWORD in SKILL.md.
Testing Course Samples loads about 1.3k tokens when it runs. Until then it costs about 106 tokens; SKILL.md has 459 words of instructions outside code blocks.
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.
The automated check noted patterns worth knowing about, such as sudo or a known installer.
racije. Obuhvaća postavljanje okruženja (.env, az login, pakete), pokretač2. **`.env` u korijenu repozitorija** (kopirajte iz [`.env.example`](../../../../../.env.example)) s barem: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.
The full file from microsoft/ai-agents-for-beginners at commit 25b7985, republished under its MIT licence (© microsoft). 459 words, ~1,317 tokens.
.claude/skills/testing-course-samples/SKILL.md (or your agent's skills folder).Provjerite rade li bilježnice lekcija i primjeri koda u stvarnoj
Microsoft Foundry / Azure OpenAI postavci. Repozitorij sadrži pokretač u
scripts/validate-notebooks.ps1 koji
izvršava svaku Python bilježnicu bez glave i ispisuje PASS/FAIL matricu.
Nemojte koristiti ovo za AI Smoke Test GitHub Akciju (koja provjerava postavljene
hostirane agente — pogledajte tests/README.md). Ova vještina
izvršava bilježnice lokalno.
python -m pip install -r requirements.txt
plus izvršiteljem: python -m pip install nbconvert ipykernel..env u korijenu repozitorija (kopirajte iz .env.example) s barem:AZURE_AI_PROJECT_ENDPOINT — Foundry endpoint projekta
(https://<account>.services.ai.azure.com/api/projects/<project>)AZURE_AI_MODEL_DEPLOYMENT_NAME — ne-deprecirana implementacija (npr. gpt-5-mini)AZURE_OPENAI_ENDPOINT (https://<account>.openai.azure.com) i AZURE_OPENAI_DEPLOYMENT
za lekcije koje izravno pozivaju Azure OpenAI (Lekcija 06, 02-azure-openai, 14 handoff/human-loop).az login dovršen — primjeri autentificiraju se s AzureCliCredential (Entra ID, bez ključa).az cognitiveservices account deployment list -g <rg> -n <account> -o table.# Sve Python bilježnice (preskače .NET, .venv, site-packages, prijevode, vještine)
pwsh scripts/validate-notebooks.ps1
# Jedna lekcija, s duljim vremenom čekanja po ćeliji
pwsh scripts/validate-notebooks.ps1 -Filter '08-*' -Timeout 600
# Samo navedi što bi se izvršilo (bez izvođenja)
pwsh scripts/validate-notebooks.ps1 -List
# Izričiti interpreter (ako `python` nije u PATH-u, npr. Windows Store alias)
pwsh scripts/validate-notebooks.ps1 -Python "C:/path/to/python.exe"Skripta zapisuje izvršene kopije, dnevnike po bilježnici, i results.json u
$env:TEMP\aiab-nbval i izlazi s brojem neuspjeha.
Privremene greške (ograničenja HTTP 429 na zajedničkoj pretplati, povremeni
problem s AzureCliCredential tokenom ili timeout) automatski se ponavljaju
(-Retries, zadano 2, s -RetryDelaySeconds odgodom, zadano 20). Ako
implementacija modela redovito daje 429, provjerite GlobalStandard
TPM kvotu pretplate (az cognitiveservices usage list -l <region>) — povećanje kapaciteta
pojedinačne implementacije ne pomaže ako je pretplatnička kvota iscrpljena.
PASS — bilježnica je izvršena od početka do kraja bez pogreške ćelije.FAIL — prikazana je prva linija *Error / *Exception; otvorite odgovarajući
log_*.txt u izlaznom direktoriju za puni trag pogreške.-Timeout (po ćeliji), pa se ćelija
koja čeka na angažman čovjeka prikazuje kao StdinNotImplementedError umjesto da visi.| Lekcija | Dodatni zahtjev |
|---|---|
| 05 Agentic RAG | Azure AI Search (AZURE_SEARCH_SERVICE_ENDPOINT, ključ) — ima alternativni put u memoriji |
| 11 MCP / GitHub | GitHub MCP poslužitelj + PAT |
| 13 memory (cognee) | cognee konfiguriran s pružateljem modela |
| 15 browser-use | Instalirani Playwright preglednici (playwright install) + AZURE_OPENAI_CHAT_DEPLOYMENT_NAME |
| 17 lokalni agent | Foundry Local runtime + preuzeti Qwen model (na uređaju, bez oblaka) |
*-dotnet-* bilježnice | .NET Interactive kernel (isključeno prema zadanim postavkama; koristi -IncludeDotnet) |
Sažmite kao PASS/FAIL tablicu grupiranu po lekciji. Odvojite stvarne regresije
(programske/konfiguracijske greške za popravak) od nedostataka u okruženju (nedostaje Search/Foundry Local/PAT),
i navedite neuspješne log_*.txt za svaki stvarni neuspjeh.
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© microsoft, MIT. Rendered from Markdown: HTML in the file is shown as text, images as links, and headings moved down two levels. Raw file
Just SKILL.md in translations/hr/.agents/skills/testing-course-samples of microsoft/ai-agents-for-beginners.
Open the folder on GitHubat commit 25b7985
Testing Course Samples next to the 5 skills that share the most tags, products or categories with it. Stars are the repository's; “used in” counts other GitHub owners with a copy.
| Skill | Stars | Used in | Tokens | Auto-check | Licence | Repo updated |
|---|---|---|---|---|---|---|
| Testing Course Samples this skillmicrosoft/ai-agents-for-beginners | 77k | — | ~1.3k | Automated safety check: Notes | MIT | |
| Hands On Testktnyt/cclsp | 675 | — | ~1.7k | Automated safety check: Pass | MIT | |
| Windows QA EngineerCodeAlive-AI/ai-driven-development | 157 | — | ~1.4k | Automated safety check: Pass | MIT | |
| Agentic Browser Testingpetrkindlmann/qa-skills | 165 | — | ~4.5k | Automated safety check: Pass | MIT | |
| Record E2E Giflablup/backend.ai-webui | 133 | — | ~907 | Automated safety check: Notes | LGPL-3.0 | |
| Permission ManageraAAaqwq/AGI-Super-Team | 105 | 1 repos | ~1.3k | Automated safety check: Pass | MIT |
ktnyt/cclsp
Performs manual hands-on testing of a web application using playwright-cli.
CodeAlive-AI/ai-driven-development
A skill your agent uses when testing Windows 11 desktop apps (WinForms/WPF/UWP) via UFO UIA/Win32 automation MCP.
petrkindlmann/qa-skills
Goal-driven E2E testing where a browser agent (Playwright MCP / computer-use) reads a natural-language goal and explores the app via the accessibility tree to assert outcomes — no pre-written script.
lablup/backend.ai-webui
Record Playwright e2e tests as one GIF per test case (video → ffmpeg palette GIF) and return a markdown table for a PR description.
aAAaqwq/AGI-Super-Team
管理Claude Code的全局工具权限配置,自动将MCP命令或其他工具添加到allowedTools中,避免每次使用时都需要手动批准。工作流程:确认用户需要添加的命令 - 确认添加级别(默认全局~/.claude.json) - 执行添加 - 验证并提醒重启。
langbot-app/LangBot
Prepares a LangBot development and testing environment for an agent, covering service startup, proxy settings and browser access through Computer Use or Playwright MCP.
microsoft/ai-agents-for-beginners
A skill your agent uses when the user asks to create, scaffold, or edit Jupyter notebooks (.ipynb) for experiments, explorations, or tutorials; prefer the bundled templates and run the helper script…
microsoft/ai-agents-for-beginners
Migrate Python apps from Azure OpenAI Chat Completions to the Responses API.
microsoft/ai-agents-for-beginners
Shift Python apps dem from Azure OpenAI Chat Completions go Responses API.
microsoft/ai-agents-for-beginners
Kasuta, kui kasutaja palub luua, üles ehitada või redigeerida Jupyteri märkmikke (.ipynb) katsetuste, uurimiste või juhendite jaoks; eelista kaasasolevaid malle ja käivita abiskript newnotebook.py…
microsoft/ai-agents-for-beginners
Käytetään, kun käyttäjä pyytää luomaan, alustamaan tai muokkaamaan Jupyter-muistikirjoja (.ipynb) kokeita, tutkimuksia tai opetusohjelmia varten; käytä mieluummin mukana olevia mallipohjia ja…
microsoft/ai-agents-for-beginners
À utiliser lorsque l'utilisateur demande de créer, structurer ou modifier des notebooks Jupyter (.ipynb) pour des expériences, explorations ou tutoriels ; privilégiez les modèles fournis et exécutez…
Categories
Koristite kada se zatraži validacija, testiranje, smoke-test ili pokretanje bilježnica i primjera koda tečaja protiv aktivne Microsoft Foundry / Azure OpenAI konfiguracije. Testing Course Samples is an agent skill from microsoft/ai-agents-for-beginners, published by the product's own GitHub organization. Koristite kada se zatraži validacija, testiranje, smoke-test ili pokretanje bilježnica i primjera koda tečaja protiv aktivne Microsoft Foundry / Azure OpenAI konfiguracije.
Testing Course Samples fits situations like: tasks that involve QA and bug reports; tasks that involve Browser testing.
Run `npx skills add microsoft/ai-agents-for-beginners --skill testing-course-samples -a claude-code`. Or copy the skill folder (translations/hr/.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.
Run `npx skills add microsoft/ai-agents-for-beginners --skill testing-course-samples -a codex`. Or copy the skill folder (translations/hr/.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.
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.
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.
SKILL.md names 1 domain. As links in the text: github.com. This is read from the text; nothing was executed.
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.
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.
About 1.3k tokens (SKILL.md is roughly 5.3k characters). Agents keep only the skill's name and description in context until a task matches; then they load SKILL.md in full.
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.
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.