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 | $0.01054 |
| Opus 5.5 | $0.00012 | $0.00422 |
| Sonnet 5.5 | $0.00006 | $0.00211 |
| Haiku 4.5 | $0.00003 | $0.00105 |
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 2d 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 — 74 lines — stays where its author put it; the contents beside it link to each section on GitHub.
🕵 Mobile Visual & Behavioral Testing
Priority: P1 (HIGH)
[!IMPORTANT] Tier 2 (Methodology): Strategy for cross-platform mobile UI, lifecycle, and device audit. Tier 3 (Domain): Native iOS, Native Android, Flutter, and React Native platforms.
🧪 Testing Mindset & Layer Fidelity
Analyze diff and select the correct test layer:
- Unit / Widget / Component: In-memory UI/logic tests (RNTL, Compose UI, Flutter Widget). Fast, but NEVER counts as native device verification.
- Native Device E2E: Real binary execution on simulator/device via Appium/XCUITest/UiAutomator/Patrol.
- Answer: 1. What changed? 2. What breaks? 3. Visual & behavioral audit across 10 mobile scope areas.
📋 Ten Mobile Testing Areas
- Functional/UI: Gestures, navigation flows, and synchronization.
- Lifecycle/State: Warm resume, retained recreation (config change) vs real process replacement/relaunch; saved-state reconstruction.
- Device/OS Matrix: Justified matrix (smallest/largest screen, tablet, min supported OS).
- Permissions/Platform: Dual-path (allow/deny/revoke), priming dialogs, deep link routing.
- Offline/Sync: Network loss, optimistic UI, idempotent sync, spec-defined conflict policy.
- Install/Upgrade: Clean install (
fullReset) vs upgrade migration (noReset+ DB migration). - Accessibility/Presentation: VoiceOver/TalkBack, Dynamic Type, Safe Area, soft keyboard.
- Performance/QoS: Cold/warm startup, scroll jank/FPS, ANR/crashes, memory leaks; battery only with an approved objective on a physical device.
- Security/Privacy: Hardware-backed secure storage (Secure Enclave / Keystore / encrypted preferences), logout cleanup, no log PII.
- Release Smoke: SHA-256 build artifact digest, signing context, device ledger, honest BLOCKED reporting.
🛠️ Core Tool Mapping
| Scenario | Appium Tool / Verification |
|---|---|
| System Alert / Permission | appium_alert (verify dialog; never auto-dismiss tested prompt) |
| Performance / QoS | appium_mobile_performance_data (CPU/Mem/FPS during flow) |
| Visual Check | appium_screenshot (base/diff; mask dynamic tokens) |
| Layout & A11y Audit | appium_get_page_source (validate hierarchy, labels, safe area) |
| App Lifecycle | appium_app_lifecycle (background, terminate, activate, deep_link) |
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.
- 2d ago Changed · +4 lines f3c7befa8de8
- 1mo ago Changed · +5 lines a39f9b61ba32
- 2mo 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 (583 stars, last pushed today), licensed MIT. It adds 30 tokens to every session and 1,054 once invoked, about $0.0001 per session on Opus 5.5. 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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