Agent skill

Quality Engineering Appium MCP

by HoangNguyen0403 in HoangNguyen0403/agent-skills-standard

Drives iOS/Android mobile devices via Appium MCP. An agent skill from HoangNguyen0403/agent-skills-standard.

MITAuto-check passedMobile

Install Quality Engineering Appium MCP

skills CLI
$ npx skills add HoangNguyen0403/agent-skills-standard --skill quality-engineering-appium-mcp -a claude-code

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

GitHub CLI
$ gh skill install HoangNguyen0403/agent-skills-standard quality-engineering-appium-mcp --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/HoangNguyen0403/agent-skills-standard.git skills-src && mkdir -p .claude/skills && cp -r skills-src/skills/quality-engineering/quality-engineering-appium-mcp .claude/skills/quality-engineering-appium-mcp && 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
quality-engineering-appium-mcp
GitHub stars
572
Token cost
~1.1k tokens
SKILL.md length
372 words
Files
8 (incl. scripts, references)
Skills in repo
211
Repo updated
First seen
Licence
MIT

At a glance

Drives iOS/Android mobile devices via Appium MCP. An agent skill from HoangNguyen0403/agent-skills-standard.

  • Works in 5 steps: sh scripts/preflight.sh — prints MODE:… → Local: select_device (Android) or… → Cloud: remoteServerUrl… → …
  • Verifying mobile bugs
  • SKILL.md covers Priority: P1 (HIGH), 🔌 Activation, 🪜 Driver Ladder and 🛠 Core Workflow (Goal-Oriented), plus 5 more sections
  • Runs Shell scripts from its folder; calls flutter and sh

What it does

Quality Engineering Appium MCP is an agent skill from HoangNguyen0403/agent-skills-standard. Drives iOS/Android mobile devices via Appium MCP. Runs a preflight, picks local emulator/simulator/USB or a device cloud, captures screenshots/page source into a named evidence dir. Use for verifying mobile bugs, E2E tests, and navigating real device clouds (LambdaTest/BrowserStack).

Its SKILL.md is about 1.1k tokens, which your agent loads only when the skill is triggered. The skill folder holds 10 other files, including scripts and reference files (for example `evals/evals.json`, `references/driver-ladder.md` and `references/lambdatest-cloud-setup.md`).

It sits in Mobile, covering Mobile testing and debugging. It works with Model Context Protocol, iOS, Android and Flutter. The repository describes itself as: A collection of Agent Skills Standard and Best Practice for Programming Languages, Frameworks that help our AI Agent follow best practies on frameworks and programming laguages. The licence is MIT.

When your agent uses it

  • Verifying mobile bugs
  • Navigating real device clouds (LambdaTest/BrowserStack)

Example prompts

  • “Use the quality-engineering-appium-mcp skill to drive iOS/Android mobile devices via Appium MCP. An agent skill from…”
  • “/quality-engineering-appium-mcp”

Requirements

  • A Bash shell

Workflow steps

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

  1. sh scripts/preflight.sh — prints MODE: local | local,remote | remote | none; exit 0 usable, 2 not.
  2. Local: select_device (Android) or prepare_ios_simulator (iOS), embedded drivers. Needs Node 22+, JDK 8+ / Xcode.
  3. Cloud: remoteServerUrl (LambdaTest/BrowserStack). URL must match REMOTE_SERVER_URL_ALLOW_REGEX.
  4. Neither: ask for exported screenshots or cloud video link; label human-provided.
  5. Nothing exported: return BLOCKED (driver: appium), continue other lanes.

What it can do on your machine

Read from SKILL.md and the folder at commit b529c2d. 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

    Ships 1 file in scripts/ (Shell), which the agent can run.

    Shell commands in SKILL.md call:

    • flutter
    • sh

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

  • Network

    No URLs in SKILL.md.

    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

Quality Engineering Appium MCP loads about 1.1k tokens when it runs, and up to ~5.4k if it reads all its reference files. Until then it costs about 79 tokens; SKILL.md has 372 words of instructions outside code blocks.

Always · name and description, kept in context so the agent knows when to use it
~79
When it runs · the whole SKILL.md, loaded when a task matches
~1.1k
With references · SKILL.md plus every file in references/, read only if the agent opens them
~5.4k

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 passed

The automated check found no risky patterns in SKILL.md.

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); the scripts in this folder are not scanned.

SKILL.md

The full file from HoangNguyen0403/agent-skills-standard at commit b529c2d, republished under its MIT licence (© HoangNguyen0403). 372 words, ~1,111 tokens.

Download SKILL.mdSave it as .claude/skills/quality-engineering-appium-mcp/SKILL.md (or your agent's skills folder). This skill also uses 7 other files; get the full folder from GitHub.
name
quality-engineering-appium-mcp
description
Drives iOS/Android mobile devices via Appium MCP. Runs a preflight, picks local emulator/simulator/USB or a device cloud, captures screenshots/page source into a named evidence dir. Use for verifying mobile bugs, E2E tests, and navigating real device clouds (LambdaTest/BrowserStack).

📱 Appium MCP (Mobile Automation)

Priority: P1 (HIGH)

[!IMPORTANT] Tier 0 (Infrastructure): Session creation, device farm connectivity, basic OS interactions. Tier 1 (Core Gestures): Taps, swipes, text input for native mobile elements. Tier 2 (Flutter/Single-Canvas): Visual-first automation via screenshot + coordinate taps.

🔌 Activation

Triggers: appium, appium-mcp, appium doctor, mobile verify, android verify, ios verify, lambdatest, real device cloud, flutter widget tap.

🪜 Driver Ladder

  1. sh scripts/preflight.sh — prints MODE: local | local,remote | remote | none; exit 0 usable, 2 not.
  2. Local: select_device (Android) or prepare_ios_simulator (iOS), embedded drivers. Needs Node 22+, JDK 8+ / Xcode.
  3. Cloud: remoteServerUrl (LambdaTest/BrowserStack). URL must match REMOTE_SERVER_URL_ALLOW_REGEX.
  4. Neither: ask for exported screenshots or cloud video link; label human-provided.
  5. Nothing exported: return BLOCKED (driver: appium), continue other lanes.

NO_UI=true default; AI_VISION_ENABLED=true only for Flutter/canvas. Local single-user or trusted CI only. generate_locators / appium_generate_tests feed test-loop step 4. Full table: driver-ladder.

🛠 Core Workflow (Goal-Oriented)

StepToolPurpose
0select_device / prepare_ios_simulatorPick target per ladder rung; cloud skips this.
1appium_session_management (create)Open session. Resiliency: Retry with noReset: true on failure.
2appium_get_window_sizeScale coordinates for high-density displays.
3appium_screenshotCapture visual state for Semantic Reasoning.
4appium_gesture / appium_set_valueInteract. Self-Healing: Re-scan hierarchy if UUID stale.
5appium_session_management (delete)MANDATORY Cleanup.

💡 AI-Driven Methodologies

  • Semantic Intent: Find element in hierarchy (e.g., "Login button") instead of raw coordinates. Resilient to layout shifts.
  • Dynamic Handling: Unexpected pop-up appears? Pause, reason about alert, dismiss, resume.
  • Visual Anchors: Find stable "Anchor" (e.g., Header) and derive coordinates relative to it.
Show full SKILL.md (129 more words)Show less

🚫 Anti-Patterns (Zero-Tolerance)

  • Hardcoded XPaths: Use accessibility id or uiautomator. XPath flaky.
  • Implicit Wait-Only: Never assume page loaded. Poll for "Source of Truth" element.
  • Ignoring QoS: Audit CPU/Memory via appium_mobile_performance_data. Prevent lag/crashes.
  • Orphaned Sessions: Teardown mandatory. Call delete in cleanup block.

📁 Evidence

.appium-mcp/<session>/: <AC|step>-<before|after>.png (nav shots at maxWidth budget, verdict full-res), <label>.source.xml from appium_get_page_source, perf.json, video.url. Walkthrough records driver: + evidence_dir:.

✅ Evaluation Criteria

  • Cleanup Rate: 100% session closure.
  • Visual Accuracy: Coordinate-based taps land within 5% of target center.
  • Security: No secrets in tool arguments or logs.

🔗 References

© HoangNguyen0403, MIT. Rendered from Markdown: HTML in the file is shown as text, images as links, and headings moved down two levels. Raw file

Files

SKILL.md and 7 other files (scripts, references) in skills/quality-engineering/quality-engineering-appium-mcp of HoangNguyen0403/agent-skills-standard.

  • SKILL.md
  • evals/evals.json
  • references/driver-ladder.md
  • references/lambdatest-cloud-setup.md
  • references/project-context.md
  • references/setup.md
  • references/tool-cheatsheet.md
  • scripts/preflight.sh

Open the folder on GitHubat commit b529c2d

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Quality Engineering Appium MCP 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.

Quality Engineering Appium MCP compared with similar skills
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Quality Engineering Appium MCP this skillHoangNguyen0403/agent-skills-standard572—~1.1kAutomated safety check: PassMIT
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AI App Bridge UsemobileAiDev/ai-app-bridge227—~1.4kAutomated safety check: PassApache-2.0
Spock AdbWahdanZ/SpockAdb116—~3.8kAutomated safety check: PassApache-2.0
Aaalice Runtime VerifyAaalice233/Aaalice_NAI_Launcher189—~963Automated safety check: PassMIT
Use Appclaw CLIappclawhq/AppClaw117—~4.6kAutomated safety check: NotesApache-2.0

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Categories

Questions about Quality Engineering Appium MCP

What does Quality Engineering Appium MCP do?

Drives iOS/Android mobile devices via Appium MCP. An agent skill from HoangNguyen0403/agent-skills-standard. Quality Engineering Appium MCP is an agent skill from HoangNguyen0403/agent-skills-standard. Drives iOS/Android mobile devices via Appium MCP.

When should I use Quality Engineering Appium MCP?

Quality Engineering Appium MCP fits situations like: verifying mobile bugs; navigating real device clouds (LambdaTest/BrowserStack).

How do I install Quality Engineering Appium MCP in Claude Code?

Run `npx skills add HoangNguyen0403/agent-skills-standard --skill quality-engineering-appium-mcp -a claude-code`. Or copy the skill folder (skills/quality-engineering/quality-engineering-appium-mcp in HoangNguyen0403/agent-skills-standard) into .claude/skills/quality-engineering-appium-mcp in your project. Claude Code loads it when a task matches its description.

How do I install Quality Engineering Appium MCP in Codex?

Run `npx skills add HoangNguyen0403/agent-skills-standard --skill quality-engineering-appium-mcp -a codex`. Or copy the skill folder (skills/quality-engineering/quality-engineering-appium-mcp in HoangNguyen0403/agent-skills-standard) into .agents/skills/quality-engineering-appium-mcp in your project. Codex loads it when a task matches its description.

Can I use Quality Engineering Appium MCP 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 HoangNguyen0403/agent-skills-standard --skill quality-engineering-appium-mcp -a cursor` (or -a gemini-cli, github-copilot or opencode for the others). To copy it by hand, put the folder in .cursor/skills/quality-engineering-appium-mcp, .gemini/skills/quality-engineering-appium-mcp, .github/skills/quality-engineering-appium-mcp and .opencode/skills/quality-engineering-appium-mcp in your project.

What does Quality Engineering Appium MCP need to run?

Going by SKILL.md and its folder, Quality Engineering Appium MCP needs a shell for the scripts in its folder and the command-line tools its instructions call (flutter and sh). Our summary lists: A Bash shell.

Does Quality Engineering Appium MCP access the network?

SKILL.md contains no URLs. Any network use would come from the scripts or tools the agent runs. This is read from the text; nothing was executed.

Is Quality Engineering Appium MCP safe to install?

Our automated static check of SKILL.md found no risky patterns, such as piping downloads into a shell, reading credential files or hidden Unicode. It is not a guarantee. The check reads SKILL.md only: the scripts in the folder are not scanned, so read them before running anything.

What licence does Quality Engineering Appium MCP use?

Quality Engineering Appium MCP 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 Quality Engineering Appium MCP use?

About 1.1k tokens (SKILL.md is roughly 4.4k characters). Agents keep only the skill's name and description in context until a task matches; then they load SKILL.md in full. Its references folder adds about 4.3k tokens, read only when the agent opens those files.

What are the alternatives to Quality Engineering Appium MCP?

Skills that share tags, products or a category with Quality Engineering Appium MCP: Generate Appclaw Flow (appclawhq/AppClaw, 117 stars), AI App Bridge Use (mobileAiDev/ai-app-bridge, 227 stars), Spock Adb (WahdanZ/SpockAdb, 116 stars) and Aaalice Runtime Verify (Aaalice233/Aaalice_NAI_Launcher, 189 stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.

Who maintains Quality Engineering Appium MCP?

HoangNguyen0403 (a GitHub user) maintains it in HoangNguyen0403/agent-skills-standard, which has 572 GitHub stars. The repository holds 211 skills in this directory. The repository was last updated on October 9, 2026.

Source: HoangNguyen0403/agent-skills-standard on GitHub. Facts on this page come from the repository at the commit we read; the author's words are quoted as theirs.