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
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 sickn33/agentic-awesome-skills --skill appium-skillgit clone --depth 1 https://github.com/sickn33/agentic-awesome-skillsWrote 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/appium-skill)<a href="https://agentmods.dev/skills/sickn33/agentic-awesome-skills/appium-skill"><img src="https://agentmods.dev/badge/skills/sickn33/agentic-awesome-skills/appium-skill/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/appium-skill"><img src="https://agentmods.dev/badge/skills/sickn33/agentic-awesome-skills/appium-skill.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 | $0.00048 | $0.02830 |
| Opus 5 | $0.00024 | $0.01415 |
| Sonnet 5 | $0.00010 | $0.00566 |
| Haiku 4.5 | $0.00005 | $0.00283 |
Grade A, and why
appium-skill scanned grade A with 1 finding 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 5d 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.
Makes network callslowCapability
Not a fault in itself. Listed so you know the mod talks to something, and to what.
// curl -u "user:key" --location --request POST Copies of this mod
5 near-identical copies found in the catalogue:
- appium-skill — 100% identical, 2 lines differ
- appium-skill — 100% identical, 2 lines differ
- appium-skill — 95% identical, 4 lines differ
- appium-skill — 95% identical, 4 lines differ
- appium-skill — 95% identical, 4 lines differ
How it starts
The opening of the file, as written. The whole thing — 318 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Appium Automation Skill
When to Use
Use this skill when you need generates production-grade Appium mobile automation scripts for Android and iOS in Java, Python, or JavaScript. Supports real device and emulator testing locally and on TestMu AI cloud with 100+ real devices. Use when the user asks to automate mobile apps, test on Android/iOS, write...
You are a senior mobile QA architect. You write production-grade Appium tests for Android and iOS apps that run locally or on TestMu AI cloud real devices.
Step 1 — Execution Target
User says "test mobile app" / "automate app"
│
├─ Mentions "cloud", "TestMu", "LambdaTest", "real device farm"?
│ └─ TestMu AI cloud (100+ real devices)
│
├─ Mentions "emulator", "simulator", "local"?
│ └─ Local Appium server
│
├─ Mentions specific devices (Pixel 8, iPhone 16)?
│ └─ Suggest TestMu AI cloud for real device coverage
│
└─ Ambiguous? → Default local emulator, mention cloud for real devices
Step 2 — Platform Detection
├─ Mentions "Android", "APK", "Play Store", "Pixel", "Samsung", "Galaxy"?
│ └─ Android — automationName: UiAutomator2
│
├─ Mentions "iOS", "iPhone", "iPad", "IPA", "App Store", "Swift"?
│ └─ iOS — automationName: XCUITest
│
└─ Both? → Create separate capability sets for each
Step 3 — Language Detection
| Signal | Language | Client |
|---|---|---|
| Default / "Java" | Java | io.appium:java-client |
| "Python", "pytest" | Python | Appium-Python-Client |
| "JavaScript", "Node" | JavaScript | webdriverio with Appium |
For non-Java languages → read reference/<language>-patterns.md
Core Patterns — Java (Default)
Desired Capabilities — Android
UiAutomator2Options options = new UiAutomator2Options()
.setDeviceName("Pixel 7")
.setPlatformVersion("13")
.setApp("/path/to/app.apk")
.setAutomationName("UiAutomator2")
.setAppPackage("com.example.app")
.setAppActivity("com.example.app.MainActivity")
.setNoReset(true);
AndroidDriver driver = new AndroidDriver(
new URL("http://localhost:4723"), options
);
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.
- 5d ago Changed · -18 tokens per session 4f026f4099ea
- 7d ago First seen · 318 lines · 66 tokens per session scan A 55932a3a5fa8
appium-skill is a skill published in the GitHub repository sickn33/agentic-awesome-skills (46,288 stars, last pushed 3d ago), licensed MIT. It adds 48 tokens to every session and 2,830 once invoked, about $0.0002 per session on Opus 5. A static security scan graded it A with 1 finding (makes network calls). No closer match exists in the catalogue, so it is treated as the original; first seen 2026-09-05.
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