Synthèse automatique
Ce skill permet de contrôler des appareils Android et iOS via l'API HTTP MobAI en utilisant des sous-agents spécialisés pour l'automatisation d'applications natives et web.
Points forts
- Prise en charge complète des interactions mobiles (tap, saisie, swipe, capture d'écran)
- Architecture hiérarchique avec sous-agents natifs et web pour une automatisation robuste
- DSL par lots pour exécuter plusieurs actions en une seule requête
- Sauvegarde automatique des captures d'écran avec chemin retourné
Limites
- Nécessite l'API HTTP MobAI locale en cours d'exécution
- Le sous-agent web ne fonctionne pas sur les simulateurs iOS
- La décomposition de tâches complexes peut être fastidieuse sans automatisation
Utilisez ce skill lorsque vous avez besoin d'automatiser des actions sur un appareil mobile réel ou simulé via une API HTTP.
Ne l'utilisez pas pour des tâches d'automatisation de bureau ou lorsque l'appareil mobile n'est pas accessible via l'API.
Analyse de sécurité
PrudenceThe skill instructs using a local HTTP API for mobile device automation. While all actions are local and no external communication is triggered, the API permits potentially destructive actions like uninstalling apps and killing processes. However, the local-only nature and typical use in controlled environments mitigate risk, hence caution rather than risky.
- •Allows powerful device control operations (uninstall apps, kill apps, start/stop bridge) via local API. No authentication but localhost-only limits exposure.
Exemples
List all available mobile devices using MobAI.Take a screenshot of device abc123 and show me the image.Launch Instagram on device abc123, tap the search icon, and search for 'travel'.name: mobai description: Control Android and iOS mobile devices through the MobAI HTTP API. Use this skill when the user asks to interact with mobile devices, take screenshots, tap elements, type text, swipe, launch apps, or automate mobile tasks. allowed-tools: mcp__mobai-http__http_request
MobAI Usage Rules (IMPORTANT)
When automating mobile devices, ALWAYS use this order:
- mobai:native-runner - For ANY native app UI automation (tapping, typing, swiping, observing UI)
- mobai:web-runner - For ANY web browser or WebView automation
- mobai:agent - For complex multi-step tasks requiring AI reasoning
- Raw HTTP API - ONLY for: listing devices, starting/stopping bridge
ALWAYS try DSL subagents first. Raw HTTP API for tap/type/swipe/screenshot/ui-tree is a LAST RESORT.
Screenshots: When using the API, screenshots are automatically saved to /tmp/mobai/screenshots/ and the path is returned. Use the Read tool to view them.
MobAI Device Control
This skill enables you to control Android and iOS devices through the MobAI HTTP API running locally.
Sub-Agent Architecture
For complex automation tasks, use a hierarchical approach with specialized sub-agents:
When to Use Sub-Agents
| Scenario | Approach | |----------|----------| | Simple query (list devices, take screenshot) | Direct API call | | Native app automation (Settings, Instagram) | Spawn native-runner sub-agent | | Browser chrome (URL bar, tabs, nav buttons) | Spawn native-runner sub-agent | | Web page DOM content (CSS selectors, JS, DOM) | Spawn web-runner sub-agent (try native-runner first) | | Complex multi-step task | Break into subgoals, spawn appropriate sub-agent for each |
Native Runner (/native-runner)
Use for native mobile apps - apps that use platform UI components:
- Settings app, Mail, Photos, Calendar
- Third-party apps (Instagram, WhatsApp, Uber)
- Any app where you need to tap UI elements by accessibility predicates
Uses DSL batch execution with element predicates for robust automation.
How to spawn:
Use the native-runner skill to accomplish: [subgoal description]
Device ID: [deviceId]
Web Runner (/web-runner)
Use web-runner when you need to interact with DOM content inside a web page or WebView:
- Native-runner failed with NO_MATCH on web page elements
- You need CSS selectors to target specific HTML elements
- You need to execute JavaScript on the page
- You need to read/manipulate DOM content programmatically
IMPORTANT: iOS Simulators NOT supported - Web context requires a physical iOS device. Use native-runner for simulators.
Try native-runner first - it works for most web page interactions via accessibility tree.
DO NOT use for browser UI elements (address bar, tabs, back button) - those are native!
Uses DSL batch execution with CSS selectors and JavaScript.
How to spawn:
Use the web-runner skill to accomplish: [subgoal description]
Device ID: [deviceId]
Example: Complex Task Decomposition
User request: "Log into Twitter, search for 'AI news', and screenshot the results"
Step 1: List devices to get device ID (direct API call) Step 2: Launch Twitter app (direct API call) Step 3: Spawn native-runner: "Tap the search tab and enter 'AI news'" Step 4: Wait for results (determine if it's native or web) Step 5: If web results: spawn web-runner: "Scroll to see results" Step 6: Take screenshot (direct API call)
How to Make API Calls
Use the mcp__mobai-http__http_request tool to make HTTP requests:
{
"method": "GET",
"url": "http://127.0.0.1:8686/api/v1/devices"
}
For POST/PUT/PATCH requests with a body:
{
"method": "POST",
"url": "http://127.0.0.1:8686/api/v1/devices/{id}/dsl/execute",
"body": "{\"version\":\"0.2\",\"steps\":[{\"action\":\"observe\",\"context\":\"native\"}]}"
}
Parameters:
method: HTTP method (GET, POST, PUT, PATCH, DELETE)url: Full URL to requestbody: Request body as JSON string (for POST/PUT/PATCH)headers: Optional additional headerstimeout: Request timeout in milliseconds (default: 600000 = 10 minutes)
API Base URL
http://127.0.0.1:8686/api/v1
No authentication is required. The API runs on localhost only.
Response Format
Success responses:
{"success": true, "data": {...}}
Error responses:
{"error": "error message", "code": "optional_code", "details": "optional_details"}
Quick Reference - Common Operations
Device Management (Direct API)
GET /devices # List all connected devices
GET /devices/{id} # Get specific device info
GET /devices/{id}/screenshot # Capture screenshot (base64 PNG)
GET /devices/{id}/apps # List installed apps (or use DSL observe with include: ["installed_apps"])
Bridge Control (Direct API)
POST /devices/{id}/bridge/start # Start on-device bridge (60s timeout)
POST /devices/{id}/bridge/stop # Stop on-device bridge
DSL Batch Execution (Preferred for Automation)
POST /devices/{id}/dsl/execute # Execute DSL script with retries
Example DSL script:
{
"version": "0.2",
"steps": [
{"action": "observe", "context": "native", "include": ["ui_tree"]},
{"action": "tap", "predicate": {"text_contains": "Settings"}},
{"action": "observe", "context": "native", "include": ["ui_tree"]}
],
"on_fail": {"strategy": "retry", "max_retries": 2}
}
Scrollable List Operations (Direct API)
POST /devices/{id}/scroll-until-visible # Scroll to find element
POST /devices/{id}/collect-list # Collect all list items
AI Agent (Direct API)
POST /devices/{id}/agent/run # {"task": "...", "agentType": "toolagent"}
App Management (Direct API)
POST /devices/{id}/kill-app # Force-kill app: {"bundleId": "..."}
DELETE /devices/{id}/apps/{bundleId} # Uninstall app by bundle ID
Location Simulation (Direct API)
POST /devices/{id}/location # Set GPS: {"lat": 40.71, "lon": -74.00}
DELETE /devices/{id}/location # Reset to real GPS
Performance Metrics (Via DSL)
Use metrics_start and metrics_stop DSL actions for performance testing:
{
"version": "0.2",
"steps": [
{"action": "metrics_start", "types": ["system_cpu", "system_memory", "fps", "network", "battery"], "capture_logs": true, "label": "test"},
{"action": "open_app", "bundle_id": "com.example.app"},
{"action": "delay", "duration_ms": 5000},
{"action": "metrics_stop", "format": "summary"}
]
}
Returns health score, anomalies, and recommendations. Metric types: system_cpu, system_memory, fps, network, battery, process.
Choosing Between Native and Web Mode
CRITICAL: Browser apps (Safari, Chrome) have TWO zones:
- Browser chrome (NATIVE): address bar, tab bar, back/forward buttons, share button, bookmarks → use native-runner
- Web content viewport (WEB): the actual webpage content inside the browser → use web-runner
Use Native Mode (native-runner) when:
- Working with native app UI (buttons, switches, lists)
- Interacting with browser chrome: URL bar, navigation buttons, tab switching
- Tapping by element predicate (text, type, label)
- UI tree shows native components (Button, TextField, Switch)
Use Web Mode (web-runner) ONLY when:
- You need to interact with the DOM content of a web page or WebView
- Filling HTML forms, clicking HTML links/buttons, or reading text from web pages
- You need CSS selectors to target elements rendered by HTML/CSS/JS
- Native taps aren't working because the content is rendered by WebKit/Blink engine
NEVER use web-runner for: browser chrome UI (address bar, tabs, navigation buttons) - always use native-runner for those!
Detection Tips:
- Get UI tree first - if it shows web-like elements (WebView), the CONTENT is web mode
- Browser UI elements (address bar, tabs) are ALWAYS native even when Safari/Chrome is open
- If native tap fails on expected element inside webpage, try web mode
Important Notes
- Use DSL for automation - Batch execution is more efficient than individual API calls
- Direct API for queries - List devices, screenshots, app lists don't need DSL
- Always ensure the bridge is running (
bridgeRunning: true) before automation - Sub-agents use DSL internally - they handle batch execution for you
- See
api-reference.mdfor full endpoint documentation
Du fichier au premier essai
Le téléchargement contient exactement le contenu affiché sur cette fiche. Cette copie peut différer de la dernière version du dépôt source.
Consulter la source et ses fichiers annexesCe téléchargement contient uniquement SKILL.md. Les scripts, références, modèles et dépendances éventuels ne sont pas inclus. Récupérez les fichiers nécessaires depuis la source en conservant leur arborescence avant de poursuivre.
1. Télécharger le fichier
Télécharger SKILL.mdDepuis la racine d’un projet de test, enregistrez le fichier sous .skill-downloads/mobai-mobile-device-control-mm5t8bcw/SKILL.md, ou utilisez la commande suivante. Ce dossier sert à examiner la skill avant son installation.
Commande pour macOS/Linux ou WSL : un shell POSIX et curl sont nécessaires. Sous Windows sans WSL, utilisez le bouton de téléchargement et créez le dossier manuellement.
mkdir -p '.skill-downloads/mobai-mobile-device-control-mm5t8bcw' && curl --fail --show-error --location 'https://skills-guides.com/api/skills/mobai-mobile-device-control-mm5t8bcw/download' --output '.skill-downloads/mobai-mobile-device-control-mm5t8bcw/SKILL.md.part' && mv '.skill-downloads/mobai-mobile-device-control-mm5t8bcw/SKILL.md.part' '.skill-downloads/mobai-mobile-device-control-mm5t8bcw/SKILL.md'2. Vérifier les prérequis
Lisez SKILL.md avant de l’utiliser. Si le fichier cite des scripts ou services externes, examinez-les et préparez les accès nécessaires dans votre environnement de test.
Outils déclarés par l’auteur (à vérifier dans votre agent) : mcp__mobai-http__http_request
Extrait original : Quick Reference - Common Operations
Device Management (Direct API)
GET /devices # List all connected devices
GET /devices/{id} # Get specific device info
GET /devices/{id}/screenshot # Capture screenshot (base64 PNG)
GET /devices/{id}/apps # List installed apps (or use DSL observe with include: ["installed_apps"])
Bridge Control (Direct API)
POST /devices/{id}/bridge/start # Start on-device bridge (60s timeout)
POST /devices/{id}/bridge/stop # Stop on-device bridge
DSL Batch Execution (Preferred for Automation)
POST /devices/{id}/dsl/execute # Execute DSL script with retries
Example DSL script:
{
"version": "0.2",
"steps": [
{"action": "observe", "context": "native", "include": ["ui_tree"]},
{"action": "tap", "predicate": {"text_contains": "Settings"}},
{"action": "observe", "context": "native", "include": ["ui_tree"]}
],
"on_fail": {"strategy": "retry", "max_retries": 2}
}
Scrollable List Operations (Direct API)
POST /devices/{id}/scroll-until-visible # Scroll to find element
POST /devices/{id}/collect-list # Collect all list items
AI Agent (Direct API)
POST /devices/{id}/agent/run # {"task": "...", "agentType": "toolagent"}
App Management (Direct API)
POST /devices/{id}/kill-app # Force-kill app: {"bundleId": "..."}
DELETE /devices/{id}/apps/{bundleId} # Uninstall app by bundle ID
Location Simulation (Direct API)
POST /devices/{id}/location # Set GPS: {"lat": 40.71, "lon": -74.00}
DELETE /devices/{id}/location # Reset to real GPS
Performance Metrics (Via DSL)
Use metrics_start and metrics_stop DSL actions for performance testing:
{
"version": "0.2",
"steps": [
{"action": "metrics_start", "types": ["system_cpu", "system_memory", "fps", "network", "battery"], "capture_logs": true, "label": "test"},
{"action": "open_app", "bundle_id": "com.example.app"},
{"action": "delay", "duration_ms": 5000},
{"action": "metrics_stop", "format": "summary"}
]
}
Returns health score, anomalies, and recommendations. Metric types: system_cpu, system_memory, fps, network, battery, process.
Les plateformes de la fiche sont des indications du catalogue. Les chemins ci-dessous suivent la documentation des outils ; ils ne prouvent pas que cette skill y a été exécutée. Aucune version minimale de ces outils n’est attestée pour cette fiche.
3. Charger la skill
Après vérification, copiez le dossier complet dans le projet avec l’une des commandes ci-dessous, puis ouvrez une nouvelle session de l’outil. La commande s’arrête si un dossier du même nom existe déjà : comparez les fichiers avant de le remplacer.
Claude Code
test -f '.skill-downloads/mobai-mobile-device-control-mm5t8bcw/SKILL.md' && test -s '.skill-downloads/mobai-mobile-device-control-mm5t8bcw/SKILL.md' && mkdir -p '.claude/skills' && test ! -e '.claude/skills/mobai' && cp -R '.skill-downloads/mobai-mobile-device-control-mm5t8bcw' '.claude/skills/mobai'OpenSkills
OpenSkills doit déjà être installé. La procédure locale install/read est contrôlée avec OpenSkills 1.5.0, qui exige Node.js ≥ 20.6.0. Aucun slug du catalogue n’est résolu automatiquement.
Installation officielle d’OpenSkillsopenskills install './.skill-downloads/mobai-mobile-device-control-mm5t8bcw'openskills read 'mobai-mobile-device-control-mm5t8bcw'La lecture doit afficher le contenu du fichier installé et son dossier de base. Elle ne lance ni la skill ni ses dépendances.
Pour un agent qui lit AGENTS.md, synchronisez ensuite l’index. Cette commande modifie AGENTS.md : relisez le diff avant de l’utiliser.
openskills syncMode manuel ou autre outil : joignez SKILL.md à une conversation, ou ouvrez-le dans un agent capable de lire les fichiers. Ajoutez les ressources annexes nécessaires. Il n’existe pas de dossier universel reconnu par tous les outils.
4. Faire un premier essai
Utilisez une entrée courte et fictive : un endpoint d’API, un petit document ou un brief d’interface. Dans une nouvelle conversation, joignez le fichier ou donnez son chemin à l’agent, puis adaptez cette demande :
Lis .skill-downloads/mobai-mobile-device-control-mm5t8bcw/SKILL.md et applique ses instructions à cet exemple : [décrire une entrée de test]. Indique les fichiers, dépendances ou accès qui manquent. Produis le résultat demandé par la skill sans inventer de données ni exécuter de script non examiné.Résultat attendu : une sortie correspondant aux instructions de la skill, ou une liste précise des prérequis manquants. Une simple confirmation de lecture ne valide pas le premier usage. Si une ressource externe est indisponible, ce parcours reste à tester.
Comparaison de performances ClickHouse
Testing
Évaluez les résultats de tests de performance ClickHouse, analysez les régressions de PR, comparez avec l'historique et vérifiez la fiabilité des mesures.
Analyse des rapports de performance CI
Testing
Analyse les rapports de comparaison de performance CI pour une PR ClickHouse. Recoupe l'historique master pour distinguer les vraies régressions des tests instables.
Méthode Santa
Testing
Vérification adversarial multi-agents avec deux réviseurs indépendants. La sortie est vérifiée deux fois et corrigée itérativement jusqu'à ce que les deux acceptent avant publication.