Getting it into your agent
One page per mod, every tool's command on it. A separate URL per tool would split the same page into five that compete with each other.
npx skills add HoangNguyen0403/agent-skills-standard --skill quality-engineering-appium-mcpgit clone --depth 1 https://github.com/HoangNguyen0403/agent-skills-standardWrote this? Show the measurements
A badge with what this costs and how it scanned, read live from this page, so it follows the numbers instead of freezing them. Markdown for a README, HTML for a documentation site or a project page.
[](https://agentmods.dev/skills/hoangnguyen0403/agent-skills-standard/quality-engineering-appium-mcp)<a href="https://agentmods.dev/skills/hoangnguyen0403/agent-skills-standard/quality-engineering-appium-mcp"><img src="https://agentmods.dev/badge/skills/hoangnguyen0403/agent-skills-standard/quality-engineering-appium-mcp/github.svg" alt="Measured on agentmods" height="20"></a>Or the 80×15 button, for a site that already has a row of RSS and ATOM ones. Only the verdict fits; the numbers stay here.
<a href="https://agentmods.dev/skills/hoangnguyen0403/agent-skills-standard/quality-engineering-appium-mcp"><img src="https://agentmods.dev/badge/skills/hoangnguyen0403/agent-skills-standard/quality-engineering-appium-mcp.svg" alt="Reviewed on agentmods" width="80" height="20"></a>- NVIDIA SkillSpector pass
What it costs to keep this loaded
Counted locally with the o200k_base tokenizer, which is exact for GPT models; Claude uses its own tokenizer and its counts differ. Treat this as one consistent yardstick across the catalogue rather than a bill. Prices are per million input tokens.
| Model | Per session | Once invoked |
|---|---|---|
| Fable 5.1 | $0.00044 | $0.00740 |
| Opus 5 | $0.00022 | $0.00370 |
| Sonnet 5 | $0.00009 | $0.00148 |
| Haiku 4.5 | $0.00004 | $0.00074 |
Grade A, and why
quality-engineering-appium-mcp scanned grade A with 0 findings against 26 rules in 11 categories — prompt injection, anti-refusal, data exfiltration, privilege escalation, supply chain, agent snooping, system-prompt leakage, SSRF and excessive agency — measured 12d ago.
A static scan of the body, not an audit. Every finding is printed with the line that produced it so you can judge whether it matters here. A mod is markdown that instructs an agent; that is exactly why what it instructs is worth reading.
Nothing flagged
None of the 26 patterns this scan looks for appear in this file: no shell pipes, no recursive deletes, no credential paths, no hidden text, no instruction-override or anti-refusal phrasing, no agent-config snooping. That is not a guarantee, it is the absence of the things that are checkable.
How it starts
The opening of the file, as written. The whole thing — 63 lines — stays where its author put it; the contents beside it link to each section on GitHub.
📱 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, mobile verify, android verify, ios verify, lambdatest, real device cloud, flutter widget tap.
🛠 Core Workflow (Goal-Oriented)
| Step | Tool | Purpose |
|---|---|---|
| 1 | appium_session_management (create) |
Open session. Resiliency: Retry with noReset: true on failure. |
| 2 | appium_get_window_size |
Scale coordinates for high-density displays. |
| 3 | appium_screenshot |
Capture visual state for Semantic Reasoning. |
| 4 | appium_gesture / appium_set_value |
Interact. Self-Healing: Re-scan hierarchy if UUID stale. |
| 5 | appium_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.
🚫 Anti-Patterns (Zero-Tolerance)
- Hardcoded XPaths: Use
accessibility idoruiautomator. 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
deletein cleanup block.
✅ 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
What ships with it
3 files beside SKILL.md in the same directory: the scripts, references and assets a skill reads on demand. Not counted in the per-session cost; read them before you install if any of them is executable.
What this file has done since we first saw it
Hashed on every crawl. A supply-chain change to an agent config is a question of when, not whether, so the history is kept rather than the latest state alone.
- 12d ago First seen · 63 lines · 44 tokens per session scan A a6f361b2d657
quality-engineering-appium-mcp is a skill published in the GitHub repository HoangNguyen0403/agent-skills-standard (565 stars, last pushed 3d ago), licensed MIT. It adds 44 tokens to every session and 740 once invoked, about $0.0002 per session on Opus 5. A static security scan graded it A with 0 findings. No closer match exists in the catalogue, so it is treated as the original; first seen 2026-08-30.
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