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 common-mobile-visual-testinggit 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/common-mobile-visual-testing)<a href="https://agentmods.dev/skills/hoangnguyen0403/agent-skills-standard/common-mobile-visual-testing"><img src="https://agentmods.dev/badge/skills/hoangnguyen0403/agent-skills-standard/common-mobile-visual-testing/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/common-mobile-visual-testing"><img src="https://agentmods.dev/badge/skills/hoangnguyen0403/agent-skills-standard/common-mobile-visual-testing.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 | $0.00030 | $0.00621 |
| Opus 5 | $0.00015 | $0.00311 |
| Sonnet 5 | $0.00006 | $0.00124 |
| Haiku 4.5 | $0.00003 | $0.00062 |
Grade A, and why
common-mobile-visual-testing 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 13d 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.
What it actually says
🕵 Mobile Visual & Behavioral Testing
Priority: P1 (HIGH)
[!IMPORTANT] Tier 2 (Methodology): Strategy mobile UI/UX audit. Tier 3 (Domain): i18n, A11y (Dynamic Type), Platform (Notch/RTL).
🧪 Testing Mindset
Analyze diff + answer:
- Change? (Affected screen, logic path)
- Break? (Regression, state transition)
- Visual Audit: Truncate, align, z-order, color.
- Behavioral Audit: Tap target, nav, data accuracy.
📋 Scenario Matrix
| Change Type | Scenarios to Run |
|---|---|
| UI/Styling | Visual Audit + Dark Mode + QoS Check (CPU/Mem) |
| Navigation | User Flow + Deep Link + Z-Order |
| Lists/Grids | Scroll Test + Pagination + Empty State |
| i18n/Locale | RTL + Truncate + Locale Logic |
| Accessibility | Dynamic Type + High Contrast + Permission Reason |
🛠️ Core Tool Mapping
| Scenario | Appium Tool |
|---|---|
| System Alert | appium_alert (check hierarchy first) |
| Performance | appium_mobile_performance_data (monitor during flow) |
| Visual Check | appium_screenshot (base/diff) |
| Layout Audit | appium_get_source (hierarchy/aria) |
🚫 Anti-Patterns
- Ignore QoS: Apps crash/lag under load. MUST check and report QoS from
appium_mobile_performance_data(scroll/video). - Blind Tap: Check state before interact. Use
appium_screenshot. - Alert Paralysis: Unexpected alert? Use
appium_alert→accept/dismiss. - Happy-Path Bias: Never ignore Empty, Loading, or Error state.
- Deep Link Neglect: Verify "Cold Start" via deep link.
- Single-Device Tunnel Vision: Verify smallest/largest screen size.
🔗 References
- appium-mcp: appium-mcp
- Scenario Details: scenarios
What ships with it
1 file 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.
- 13d ago First seen · 65 lines · 30 tokens per session scan A 1a03da27e25a
common-mobile-visual-testing is a skill published in the GitHub repository HoangNguyen0403/agent-skills-standard (565 stars, last pushed 3d ago), licensed MIT. It adds 30 tokens to every session and 621 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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