Hands On Test
ktnyt/cclsp
Performs manual hands-on testing of a web application using playwright-cli.
Gamitin kapag hiniling na i-validate, subukan, smoke-test, o patakbuhin ang notebook ng kurso at mga halimbawa ng code laban sa isang live na Microsoft Foundry / Azure OpenAI na configuration.
Install Testing Course Samples
$ 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/tl/.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/tl/.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/tl/.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/tl/.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/tl/.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/tl/.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/tl/.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/tl/.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/tl/.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/tl/.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/tl/.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/tl/.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/tl/.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/tl/.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.
Facts
- Skill name
testing-course-samples- GitHub stars
- 77k
- Token cost
- ~1.5k tokens
- SKILL.md length
- 607 words
- Files
- 1
- Skills in repo
- 123
- Repo updated
- First seen
- Licence
- MIT
At a glance
Gamitin kapag hiniling na i-validate, subukan, smoke-test, o patakbuhin ang notebook ng kurso at mga halimbawa ng code laban sa isang live na Microsoft Foundry / Azure OpenAI na configuration.
- Works in 4 steps: Python 3.12+ kasama ang mga dependency… → .env sa root ng repo (kopyahin mula sa… → Kumpletuhin ang az login — ang mga… → …
- Tasks that involve QA and bug reports
- SKILL.md covers Kailan Gagamitin, Mga Paunang Kinakailangan…, Pagsasagawa ng Validation and Pagsasalin ng Mga Resulta, 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. Gamitin kapag hiniling na i-validate, subukan, smoke-test, o patakbuhin ang notebook ng kurso at mga halimbawa ng code laban sa isang live na Microsoft Foundry / Azure OpenAI na configuration. Saklaw nito ang pag-setup ng kapaligiran (.env, az login, mga package), ang scripts/validate-notebooks.ps1 runner, ang pagpapakahulugan ng mga resulta na PASS/FAIL, at kung aling mga aralin ang nangangailangan ng karagdagang mga mapagkukunan (Azure AI Search, GitHub MCP, Foundry Local, Playwright).
Its SKILL.md is about 1.5k 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.
- Python 3.12+ kasama ang mga dependency ng kurso: python -m pip install -r requirements.txt
- .env sa root ng repo (kopyahin mula sa .env.example) na may mga sumusunod
- Kumpletuhin ang az login — ang mga halimbawa ay authenticates gamit ang AzureCliCredential (Entra ID, walang key).
- Suriin kung umiiral ang model deployment
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:
pwshazpythonplaywright
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 1.5k tokens when it runs. Until then it costs about 129 tokens; SKILL.md has 607 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.
Safety
Auto-check: notes
The automated check noted patterns worth knowing about, such as sudo or a known installer.
- NoteMentions a .env fileSKILL.md:6
(.env, az login, mga package), ang scripts/validate-notebooks.ps1 runner, ang pagpapakahulugan - NoteMentions a .env fileSKILL.md:29
2. **`.env` sa root ng repo** (kopyahin mula sa [`.env.example`](../../../../../.env.example)) na may mga sumusunod:
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). 607 words, ~1,505 tokens.
Download SKILL.mdSave it as
.claude/skills/testing-course-samples/SKILL.md (or your agent's skills folder).- name
- testing-course-samples
- description
- Gamitin kapag hiniling na i-validate, subukan, smoke-test, o patakbuhin ang notebook ng kurso at mga halimbawa ng code laban sa isang live na Microsoft Foundry / Azure OpenAI na configuration. Saklaw nito ang pag-setup ng kapaligiran (.env, az login, mga package), ang scripts/validate-notebooks.ps1 runner, ang pagpapakahulugan ng mga resulta na PASS/FAIL, at kung aling mga aralin ang nangangailangan ng karagdagang mga mapagkukunan (Azure AI Search, GitHub MCP, Foundry Local, Playwright).
Pagsusuri ng Mga Halimbawa ng Kurso
Tiyakin na ang mga lesson notebook at mga halimbawa ng code ay tumatakbo laban sa isang aktibong
Microsoft Foundry / Azure OpenAI na setup. Naglalaman ang repo ng isang runner sa
scripts/validate-notebooks.ps1 na
nagpapatakbo ng bawat Python notebook nang walang interface at nagpapakita ng PASS/FAIL matrix.
Kailan Gagamitin
- "I-validate lahat ng mga notebook / mga sample laban sa aking Azure subscription."
- "Magsagawa ng smoke-test sa kurso pagkatapos mag-upgrade ng mga package o magpalit ng mga modelo."
- "Aling mga lesson ang pasado pa rin / bagsak nang live?"
Huwag gamitin ito para sa AI Smoke Test GitHub Action (na nagva-validate ng deployed
na mga hosted agent — tingnan ang tests/README.md). Ang kasanayang ito
ay nagpapatakbo ng mga notebook nang lokal.
Mga Paunang Kinakailangan (suriin muna)
- Python 3.12+ kasama ang mga dependency ng kurso:
python -m pip install -r requirements.txtpati na rin ang executor:python -m pip install nbconvert ipykernel. .envsa root ng repo (kopyahin mula sa.env.example) na may mga sumusunod:AZURE_AI_PROJECT_ENDPOINT— endpoint ng proyekto sa Foundry (https://<account>.services.ai.azure.com/api/projects/<project>)AZURE_AI_MODEL_DEPLOYMENT_NAME— isang non-deprecated na deployment (hal.gpt-5-mini)AZURE_OPENAI_ENDPOINT(https://<account>.openai.azure.com) atAZURE_OPENAI_DEPLOYMENTpara sa mga lesson na tumatawag nang direkta sa Azure OpenAI (Lesson 06, 02-azure-openai, 14 handoff/human-loop).
- Kumpletuhin ang
az login— ang mga halimbawa ay authenticates gamit angAzureCliCredential(Entra ID, walang key). - Suriin kung umiiral ang model deployment:
az cognitiveservices account deployment list -g <rg> -n <account> -o table.
Pagsasagawa ng Validation
# Lahat ng Python notebook (hindi kasama ang .NET, .venv, site-packages, pagsasalin, mga asset ng kasanayan)
pwsh scripts/validate-notebooks.ps1
# Isang aralin, na may mas mahabang timeout bawat cell
pwsh scripts/validate-notebooks.ps1 -Filter '08-*' -Timeout 600
# Isa lang ilista kung ano ang tatakbo (hindi mag-e-execute)
pwsh scripts/validate-notebooks.ps1 -List
# Tahasang interpreter (kung ang `python` ay wala sa PATH, halimbawa alias ng Windows Store)
pwsh scripts/validate-notebooks.ps1 -Python "C:/path/to/python.exe"Ang script ay nagsusulat ng mga kopyang na-execute, mga log per-notebook, at results.json sa
$env:TEMP\aiab-nbval at lalabas na may bilang ng mga nabigong pagsubok.
Ang mga pansamantalang pagkabigo (limitasyon sa rate ng shared-subscription HTTP 429, isang paminsang
token hiccup ng AzureCliCredential, o timeout) ay awtomatikong nire-retry
(-Retries, default 2, na may -RetryDelaySeconds backoff, default 20). Kung ang
model deployment ay madalas na nagkakaroon ng 429, suriin ang GlobalStandard
TPM quota ng subscription (az cognitiveservices usage list -l <region>) — ang pagtaas ng kapasidad ng isang deployment lang ay hindi makakatulong kapag
naubos na ang quota ng subscription.
Pagsasalin ng Mga Resulta
PASS— matagumpay na tumakbo ang notebook mula simula hanggang dulo nang walang error sa cell.FAIL— ipinapakita ang unang linya ng*Error/*Exception; buksan ang tumutugmanglog_*.txtsa output directory para sa buong traceback.- Ang kabiguan ng isang notebook ay nililimitahan ng
-Timeout(bawat cell), kaya ang isang natigil na human-in-the-loop cell ay lalabas bilangStdinNotImplementedErrorsa halip na makahinto.
Show full SKILL.md (217 more words)Show less
Mga Lesson na Nangangailangan ng Karagdagang Mga Kagamitan (inaasahang mabibigo kung wala ang mga ito)
| Lesson | Karagdagang pangangailangan |
|---|---|
| 05 Agentic RAG | Azure AI Search (AZURE_SEARCH_SERVICE_ENDPOINT, susi) — may fallback na nasa memorya |
| 11 MCP / GitHub | GitHub MCP server + PAT |
| 13 memory (cognee) | cognee na naka-configure sa isang model provider |
| 15 browser-use | Mga browser ng Playwright na naka-install (playwright install) + AZURE_OPENAI_CHAT_DEPLOYMENT_NAME |
| 17 local agent | Foundry Local runtime + isang na-download na modelong Qwen (nasa device, walang cloud) |
*-dotnet-* mga notebook | .NET Interactive kernel (hindi kasali bilang default; gamitin ang -IncludeDotnet) |
Pag-uulat Pabalik
Ibuod bilang isang PASS/FAIL na talahanayan na pinangkat ayon sa lesson. Ihiwalay ang tunay na regression
(bug sa code/config na kailangang ayusin) mula sa mga kakulangan sa kapaligiran (kulang na Search/Foundry Local/PAT),
at ilahad ang mga nabigong log_*.txt para sa bawat totoong pagkabigo.
<!-- CO-OP TRANSLATOR DISCLAIMER START -->Pagtatanggi: Ang dokumentong ito ay isinalin gamit ang serbisyo ng AI translation na Co-op Translator. Bagama't nagsusumikap kami para sa katumpakan, pakatandaan na ang awtomatikong pagsasalin ay maaaring maglaman ng mga pagkakamali o hindi pagkakatugma. Ang orihinal na dokumento sa orihinal nitong wika ang dapat ituring na pangunahing sanggunian. Para sa mahahalagang impormasyon, inirerekomenda ang propesyonal na pagsasalin ng tao. Hindi kami mananagot sa anumang maling pagkakaintindi o maling interpretasyon na nagmula sa paggamit ng pagsasaling ito.
<!-- 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/tl/.agents/skills/testing-course-samples of microsoft/ai-agents-for-beginners.
Open the folder on GitHubat commit 25b7985
Compare with similar skills
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 | — | ~1.5k | Automated safety check: Notes | MIT | |
| Hands On Testktnyt/cclsp | 675 | — | ~1.7k | Automated safety check: Pass | MIT | |
| Windows QA EngineerCodeAlive-AI/ai-driven-development | 155 | — | ~1.4k | Automated safety check: Pass | MIT | |
| Agentic Browser Testingpetrkindlmann/qa-skills | 163 | — | ~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 |
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Windows QA Engineer
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.
Agentic Browser Testing
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.
Record E2E Gif
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.
Permission Manager
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 Environment Setup
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.
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Questions about Testing Course Samples
What does Testing Course Samples do?
Gamitin kapag hiniling na i-validate, subukan, smoke-test, o patakbuhin ang notebook ng kurso at mga halimbawa ng code laban sa isang live na Microsoft Foundry / Azure OpenAI na configuration. Testing Course Samples is an agent skill from microsoft/ai-agents-for-beginners, published by the product's own GitHub organization. Gamitin kapag hiniling na i-validate, subukan, smoke-test, o patakbuhin ang notebook ng kurso at mga halimbawa ng code laban sa isang live na Microsoft Foundry / Azure OpenAI na 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/tl/.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/tl/.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 1.5k tokens (SKILL.md is roughly 6k 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, 155 stars), Agentic Browser Testing (petrkindlmann/qa-skills, 163 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 76,567 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.