AAS Core is a local control plane for coding agents that lets them search a large catalogue of skills, choose a stack, validate it, and create a reproducible plan. It is used to assemble and review agent workflows through its CLI, local MCP server, catalogue, plugins, and Workbench. The catalogue add-ons provide the skills, plugins, bundles, and workflows that AAS Core helps agents select and validate.
Getting it into your agent
It runs from inside its repository, so the clone comes first — what it calls does not travel with the file alone.
git clone --depth 1 https://github.com/sickn33/agentic-awesome-skillsnpx agentmods add skills/sickn33/agentic-awesome-skills/android_ui_verificationWrote 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/sickn33/agentic-awesome-skills/android_ui_verification)<a href="https://agentmods.dev/skills/sickn33/agentic-awesome-skills/android_ui_verification"><img src="https://agentmods.dev/badge/skills/sickn33/agentic-awesome-skills/android_ui_verification/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/sickn33/agentic-awesome-skills/android_ui_verification"><img src="https://agentmods.dev/badge/skills/sickn33/agentic-awesome-skills/android_ui_verification.svg" alt="Reviewed on agentmods" width="80" height="20"></a>- Snyk pass
- 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 | $0.00022 | $0.00751 |
| Opus 5 | $0.00011 | $0.00376 |
| Sonnet 5 | $0.00004 | $0.00150 |
| Haiku 4.5 | $0.00002 | $0.00075 |
Grade A, and why
android_ui_verification 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 4d 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.
Copies of this mod
8 near-identical copies found in the catalogue:
- android_ui_verification — 100% identical, 0 lines differ
- android_ui_verification — 100% identical, 0 lines differ
- android_ui_verification — 100% identical, 0 lines differ
- android_ui_verification — 100% identical, 0 lines differ
- android_ui_verification — 100% identical, 0 lines differ
- android_ui_verification — 100% identical, 0 lines differ
- android_ui_verification — 100% identical, 0 lines differ
- android_ui_verification — 91% identical, 5 lines differ
How it starts
The opening of the file, as written. The whole thing — 72 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Android UI Verification Skill
This skill provides a systematic approach to testing React Native applications on an Android emulator using ADB commands. It allows for autonomous interaction, state verification, and visual regression checking.
When to Use
- Verifying UI changes in React Native or Native Android apps.
- Autonomous debugging of layout issues or interaction bugs.
- Ensuring feature functionality when manual testing is too slow.
- Capturing automated screenshots for PR documentation.
🛠 Prerequisites
- Android Emulator running.
adbinstalled and in PATH.- Application in debug mode for logcat access.
🚀 Workflow
1. Device Calibration
Before interacting, always verify the screen resolution to ensure tap coordinates are accurate.
adb shell wm size
Note: Layouts are often scaled. Use the physical size returned as the base for coordinate calculations.
2. UI Inspection (State Discovery)
Use the uiautomator dump to find the exact bounds of UI elements (buttons, inputs).
adb shell uiautomator dump /sdcard/view.xml && adb pull /sdcard/view.xml ./artifacts/view.xml
Search the view.xml for text, content-desc, or resource-id. The bounds attribute [x1,y1][x2,y2] defines the clickable area.
3. Interaction Commands
- Tap:
adb shell input tap <x> <y>(Use the center of the element bounds). - Swipe:
adb shell input swipe <x1> <y1> <x2> <y2> <duration_ms>(Used for scrolling). - Text Input:
adb shell input text "<message>"(Note: Limited support for special characters). - Key Events:
adb shell input keyevent <code_id>(e.g., 66 for Enter).
4. Verification & Reporting
Visual Verification
Capture a screenshot after interaction to confirm UI changes.
adb shell screencap -p /sdcard/screen.png && adb pull /sdcard/screen.png ./artifacts/test_result.png
Analytical Verification
Monitor the JS console logs in real-time to detect errors or log successes.
adb logcat -d | grep "ReactNativeJS" | tail -n 20
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.
- 4d ago First seen · 72 lines · 22 tokens per session scan A 3e3ba09ac89c
android_ui_verification is a skill published in the GitHub repository sickn33/agentic-awesome-skills (46,133 stars, last pushed yesterday), licensed MIT. It adds 22 tokens to every session and 751 once invoked, about $0.0001 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 2026-09-05.
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android_ui_verification
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