{"passport":{"unfragile":{"@version":"1.0","version":"2026-05","artifact":{"id":"github-firerpa--lamda","slug":"firerpa--lamda","name":"lamda","type":"agent","url":"https://device-farm.com/","page_url":"https://unfragile.ai/firerpa--lamda","categories":["automation"],"tags":["adb","agents","ai","android","appium","automation","dynamic-analysis","frida","magisk","mcp","mcp-server","mobile-security","pentesting","remote-control","reverse-engineering","security","uiautomation","uiautomator2","workflow","xposed"],"pricing":{"model":"open_source","free":true,"starting_price":null},"status":"active","verified":false},"capabilities":[{"id":"github-firerpa--lamda__cap_0","uri":"capability://tool.use.integration.grpc.based.remote.device.control.with.client.server.architecture","name":"grpc-based remote device control with client-server architecture","description":"Establishes secure gRPC communication channels between a Python client and an Android device server, enabling structured RPC calls for device automation. The architecture uses protocol buffers (protobuf) to define service interfaces and message schemas, allowing type-safe serialization of commands and responses across the network boundary. Connection management handles SSL/TLS encryption, session lifecycle, and automatic reconnection logic.","intents":["Connect a Python script to a remote Android device for programmatic control","Establish secure communication channels with encryption for sensitive device operations","Send structured commands to Android devices and receive typed responses reliably"],"best_for":["Mobile automation engineers building large-scale device farms","Security researchers performing dynamic analysis on multiple Android devices","Teams deploying LAMDA across cloud platforms and physical device labs"],"limitations":["Requires root access on Android device for server installation and operation","Network latency directly impacts command execution speed; no built-in command batching for latency optimization","gRPC overhead adds ~50-100ms per RPC call compared to direct ADB communication","Server must be running on Android device; no fallback to ADB-only mode"],"requires":["Python 3.6-3.12 on client machine","Android device running Android 6.0-15 with root access","LAMDA server component installed and running on Android device","Network connectivity between client and device (LAN, VPN, or cloud tunnel)","gRPC and protobuf libraries installed via pip"],"input_types":["protobuf messages","connection parameters (host, port, SSL certificate)","RPC method calls with typed arguments"],"output_types":["protobuf response messages","structured device state data","command execution results with status codes"],"categories":["tool-use-integration","mobile-automation"],"confidence":0.5,"matches":0,"success_rate":0},{"id":"github-firerpa--lamda__cap_1","uri":"capability://automation.workflow.ui.element.selection.and.interaction.via.accessibility.tree.parsing","name":"ui element selection and interaction via accessibility tree parsing","description":"Parses Android's accessibility tree (UIAutomator2 hierarchy) to locate UI elements by XPath, text content, resource ID, or class type, then executes touch interactions (click, long-press, swipe) with pixel-perfect coordinates. The system maintains a cached hierarchy snapshot and computes element bounds dynamically, supporting both absolute and relative positioning. Interaction commands are translated to ADB input events or UIAutomator2 API calls depending on device state.","intents":["Find and click buttons, text fields, or other UI elements by their properties without hardcoded coordinates","Perform multi-step UI interactions like typing text, swiping, and long-pressing in a single workflow","Automate app navigation by interacting with dynamically-positioned UI elements across different screen sizes"],"best_for":["QA engineers automating app testing across multiple Android devices and screen sizes","RPA developers building workflows that interact with third-party apps","Mobile security researchers performing UI-based penetration testing"],"limitations":["Accessibility tree parsing fails for apps with disabled accessibility services; no fallback to OCR-based element detection","XPath queries on large hierarchies (1000+ elements) add 200-500ms latency per query","Swipe and gesture recognition limited to linear paths; no support for multi-touch or complex gesture patterns","Element coordinates become stale if UI updates between hierarchy snapshot and interaction execution"],"requires":["Android device with accessibility services enabled","UIAutomator2 framework installed on device (built into Android 4.3+)","Target app must not explicitly disable accessibility tree exposure","Device screen must be unlocked and app in foreground for reliable interaction"],"input_types":["XPath expressions","element properties (text, resource-id, class)","coordinate tuples (x, y)","interaction types (click, swipe, long-press, type)"],"output_types":["boolean success/failure","element bounds (x, y, width, height)","accessibility tree XML hierarchy","screenshot with element overlays"],"categories":["automation-workflow","ui-automation"],"confidence":0.5,"matches":0,"success_rate":0},{"id":"github-firerpa--lamda__cap_10","uri":"capability://tool.use.integration.extension.system.with.custom.tool.registration.and.plugin.architecture","name":"extension system with custom tool registration and plugin architecture","description":"Provides a plugin architecture for registering custom tools and extensions that extend LAMDA capabilities. Extensions are Python modules that implement a standard interface and register themselves with the LAMDA client. Supports both built-in extensions (Frida, MITM proxy) and user-defined extensions. Extensions can hook into device lifecycle events, add new RPC methods, or provide custom UI automation strategies. Extension discovery and loading is automatic from configured extension directories.","intents":["Create custom automation tools tailored to specific app requirements without modifying LAMDA core","Integrate third-party libraries (computer vision, data processing) into LAMDA workflows","Share reusable automation patterns across teams through extension packages"],"best_for":["Teams building domain-specific automation tools on top of LAMDA","Developers creating reusable automation libraries for specific app types","Organizations standardizing automation patterns across multiple projects"],"limitations":["Extension API stability not guaranteed across LAMDA versions; breaking changes may require extension updates","No built-in extension versioning or dependency management; manual version coordination required","Extension loading errors can crash the LAMDA client; no sandboxing or error isolation","Limited documentation for extension development; requires reading LAMDA source code"],"requires":["Python 3.6+ for extension development","LAMDA client library installed","Understanding of LAMDA architecture and extension interface","Extension module in Python path or configured extension directory"],"input_types":["extension module (Python file or package)","extension configuration (YAML or JSON)","device lifecycle events (connect, disconnect, reset)"],"output_types":["registered tools and methods","extension status (loaded, failed, disabled)","custom automation results"],"categories":["tool-use-integration","planning-reasoning"],"confidence":0.5,"matches":0,"success_rate":0},{"id":"github-firerpa--lamda__cap_11","uri":"capability://automation.workflow.logcat.filtering.and.event.based.monitoring.with.real.time.log.streaming","name":"logcat filtering and event-based monitoring with real-time log streaming","description":"Streams Android logcat output in real-time with filtering by package name, log level, and tag. Parses logcat events and provides callbacks for specific log patterns (crashes, errors, warnings). Supports persistent log capture to files and log rotation. Enables event-based automation by triggering actions when specific log patterns are detected (e.g., app crash, network error). Integrates with crash detection to automatically capture crash logs and stack traces.","intents":["Monitor app logs in real-time to detect errors, crashes, or unexpected behavior during automation","Trigger automation actions based on log events (e.g., restart app on crash)","Capture detailed crash logs and stack traces for debugging app failures"],"best_for":["QA engineers monitoring app stability during long-running test suites","Developers debugging app issues by analyzing real-time logs","Automation engineers implementing event-driven automation based on app state"],"limitations":["Logcat buffer is limited (typically 4MB); old logs are lost if not captured to file","Log filtering is performed client-side; no server-side filtering to reduce bandwidth","Real-time log streaming adds 50-100ms latency per log event","Crash detection via logcat is unreliable for apps with custom exception handlers"],"requires":["ADB logcat access to device","Device with logcat service enabled (default on all Android devices)","Sufficient disk space for persistent log files","Network bandwidth for real-time log streaming"],"input_types":["package name filter","log level filter (VERBOSE, DEBUG, INFO, WARN, ERROR, FATAL)","log tag filter (regex patterns)","callback functions for log events"],"output_types":["logcat lines with timestamp, level, tag, message","parsed crash logs with stack traces","filtered log events matching patterns","log file paths for persistent capture"],"categories":["automation-workflow","data-processing-analysis"],"confidence":0.5,"matches":0,"success_rate":0},{"id":"github-firerpa--lamda__cap_12","uri":"capability://data.processing.analysis.device.capability.detection.and.configuration.management","name":"device capability detection and configuration management","description":"Automatically detects device capabilities (Android version, screen size, installed apps, hardware features) and stores configuration in a device profile. Profiles are used for device allocation in multi-device scenarios and for adapting automation strategies to device capabilities. Supports manual capability definition and override for devices with non-standard configurations. Provides capability-based device filtering for test allocation (e.g., 'only run on Android 12+ devices with 6GB+ RAM').","intents":["Automatically detect device capabilities to allocate tests to appropriate devices","Adapt automation strategies based on device capabilities (e.g., different UI layouts for different screen sizes)","Filter devices for test execution based on capability requirements"],"best_for":["QA teams managing diverse device pools with different configurations","CI/CD pipelines allocating tests to devices based on requirements","Developers testing app behavior across different device capabilities"],"limitations":["Capability detection requires device connection and initialization; adds 5-10 seconds per device","Some capabilities (e.g., GPU type, thermal throttling) cannot be detected programmatically","Capability changes (e.g., app installation) are not automatically reflected in profiles; manual refresh required","No built-in capability versioning; profiles may become stale across device updates"],"requires":["Device connected and initialized","ADB access for capability detection","Device profile storage (local file or database)"],"input_types":["device ID","capability filter expressions (e.g., 'android_version >= 12')","manual capability overrides"],"output_types":["device profile with detected capabilities","capability filter results (matching devices)","capability change notifications"],"categories":["data-processing-analysis","automation-workflow"],"confidence":0.5,"matches":0,"success_rate":0},{"id":"github-firerpa--lamda__cap_2","uri":"capability://automation.workflow.application.lifecycle.management.with.permission.control.and.instrumentation","name":"application lifecycle management with permission control and instrumentation","description":"Manages Android app installation, launching, stopping, and uninstallation through ADB package manager (pm) and activity manager (am) commands. Provides granular permission control by reading/writing manifest files and using pm grant/revoke commands. Supports app instrumentation for code coverage and performance monitoring by injecting instrumentation runners and collecting execution traces. Handles app state transitions (foreground, background, stopped) and monitors app crashes via logcat parsing.","intents":["Install, launch, and uninstall apps programmatically without manual device interaction","Grant or revoke specific permissions to test app behavior under different permission states","Instrument apps to collect code coverage, performance metrics, or execution traces during testing"],"best_for":["Mobile QA teams running automated test suites across app versions","Security researchers analyzing app behavior under different permission configurations","CI/CD pipelines automating app deployment and testing on device farms"],"limitations":["Permission changes require app restart to take effect; no hot-reload of permission state","Instrumentation adds 5-15% performance overhead and requires recompilation of test APKs","Cannot manage system apps or pre-installed apps without device-level root access","Crash detection via logcat is unreliable for apps with custom exception handlers or background services"],"requires":["ADB (Android Debug Bridge) access to device","Device with USB debugging enabled or network ADB configured","APK file path for installation (local or remote)","Android 6.0+ for runtime permission management","Root access for system app manipulation"],"input_types":["APK file paths","package names (e.g., com.example.app)","permission names (e.g., android.permission.CAMERA)","activity names (e.g., com.example.MainActivity)","instrumentation runner class names"],"output_types":["installation status (success/failure with error codes)","app state (running, stopped, crashed)","permission grant/revoke results","instrumentation traces and coverage reports","logcat output filtered by app package"],"categories":["automation-workflow","tool-use-integration"],"confidence":0.5,"matches":0,"success_rate":0},{"id":"github-firerpa--lamda__cap_3","uri":"capability://tool.use.integration.network.traffic.interception.and.manipulation.via.mitm.proxy.integration","name":"network traffic interception and manipulation via mitm proxy integration","description":"Integrates with mitmproxy to intercept and modify HTTP/HTTPS traffic from Android apps by configuring device-level proxy settings and installing custom CA certificates. Supports request/response filtering, header injection, body modification, and traffic recording. The proxy can be configured globally via device properties or per-app through network configuration. Handles SSL/TLS certificate pinning bypass through Frida hooks or certificate installation.","intents":["Intercept and inspect API calls made by Android apps to understand backend communication","Modify API responses to test app behavior under different server conditions (errors, latency, data changes)","Bypass certificate pinning to test app security or perform penetration testing"],"best_for":["Mobile security researchers performing API-level penetration testing","QA engineers testing app behavior with mocked or modified backend responses","Developers debugging app-to-server communication issues"],"limitations":["Certificate pinning bypass requires Frida hooks or system certificate installation; not all apps can be bypassed","HTTPS traffic interception requires installing custom CA certificate, which may trigger security warnings in some apps","Proxy configuration adds 50-200ms latency per request due to traffic routing through mitmproxy","Cannot intercept traffic from apps using VPN or custom network stacks (e.g., some banking apps)"],"requires":["mitmproxy installed and running on client machine or accessible network host","Device with proxy configuration support (Android 6.0+)","Custom CA certificate installed on device (requires root or user certificate store access)","Network connectivity between device and mitmproxy instance","Target app must not use certificate pinning or support certificate pinning bypass"],"input_types":["proxy host and port configuration","filter rules (URL patterns, methods, headers)","request/response modification scripts (Python)","CA certificate in PEM format"],"output_types":["intercepted HTTP requests and responses","modified request/response bodies","traffic logs in HAR or mitmproxy format","certificate pinning bypass status"],"categories":["tool-use-integration","security-moderation"],"confidence":0.5,"matches":0,"success_rate":0},{"id":"github-firerpa--lamda__cap_4","uri":"capability://tool.use.integration.dynamic.code.injection.and.runtime.behavior.modification.via.frida.integration","name":"dynamic code injection and runtime behavior modification via frida integration","description":"Integrates Frida framework to inject JavaScript code into running Android processes for runtime hooking, method interception, and behavior modification. Supports hooking Java methods, native functions, and system calls to inspect arguments, modify return values, or redirect execution. Frida scripts are compiled to bytecode and injected into target processes via the Frida daemon running on the device. Supports both attach-mode (inject into running process) and spawn-mode (start process with hooks).","intents":["Hook Java methods to inspect function arguments and return values without source code access","Bypass security checks (certificate pinning, root detection, jailbreak detection) by modifying method behavior at runtime","Trace app execution flow and collect performance metrics by intercepting method calls"],"best_for":["Mobile security researchers performing dynamic analysis and reverse engineering","Penetration testers bypassing app security mechanisms","Developers debugging third-party library behavior without source code"],"limitations":["Frida injection fails on apps with anti-debugging protections or custom runtime integrity checks","JavaScript-to-Java method hooking has ~5-10ms overhead per hooked method call","Complex hooks on heavily-used methods (e.g., network I/O) can cause app slowdown or crashes","Requires Frida daemon running on device; no fallback if daemon crashes or is killed"],"requires":["Frida framework installed on client machine (pip install frida)","Frida server binary running on Android device (requires root or system app privileges)","Target app must not have anti-debugging protections enabled","Python 3.6+ for Frida client scripts","Network connectivity between client and Frida server"],"input_types":["Frida JavaScript hook scripts","target process name or PID","Java class and method names to hook","native function addresses (for native hooking)"],"output_types":["hooked method arguments and return values","modified method behavior results","execution traces and call stacks","performance metrics (latency, call counts)"],"categories":["tool-use-integration","planning-reasoning"],"confidence":0.5,"matches":0,"success_rate":0},{"id":"github-firerpa--lamda__cap_5","uri":"capability://automation.workflow.shell.command.execution.with.system.property.and.settings.manipulation","name":"shell command execution with system property and settings manipulation","description":"Executes arbitrary shell commands on the Android device via ADB shell, with support for reading/writing system properties (getprop/setprop), modifying system settings (settings get/put), and accessing SELinux contexts. Commands are executed in the device's shell environment with output captured and parsed. Supports both synchronous command execution with timeout and asynchronous execution with callback handlers. Provides helpers for common operations like changing system time, enabling developer options, or modifying network settings.","intents":["Execute shell commands to configure device settings or retrieve system information","Modify system properties to test app behavior under different device configurations","Change system settings (timezone, language, display settings) to test app localization and responsiveness"],"best_for":["Test automation engineers configuring device state before running test suites","Security researchers modifying system properties to test app security assumptions","Developers debugging device-specific issues by inspecting system state"],"limitations":["Shell command execution has no sandboxing; malformed commands can crash the device shell or cause data loss","System property changes may require device reboot to take effect; no automatic reboot handling","Output parsing is fragile for commands with variable output formats across Android versions","Some system settings are read-only without root access; no automatic privilege escalation"],"requires":["ADB shell access to device","Root access for modifying protected system properties and settings","Knowledge of Android shell command syntax and available commands","Device with shell service enabled (default on debug builds)"],"input_types":["shell command strings","system property names and values","settings namespace, key, and value","timeout duration for command execution"],"output_types":["command stdout and stderr","return code (exit status)","system property values","settings values"],"categories":["automation-workflow","tool-use-integration"],"confidence":0.5,"matches":0,"success_rate":0},{"id":"github-firerpa--lamda__cap_6","uri":"capability://image.visual.screenshot.capture.and.visual.hierarchy.inspection.with.ocr.support","name":"screenshot capture and visual hierarchy inspection with ocr support","description":"Captures device screenshots in PNG format via ADB screencap command and returns pixel data for analysis. Provides visual hierarchy inspection by parsing the accessibility tree and overlaying element bounds on screenshots. Supports OCR (Optical Character Recognition) for text extraction from screenshots, enabling text-based element detection when accessibility tree is unavailable. Screenshots can be annotated with element IDs, bounds, or text content for debugging.","intents":["Capture screenshots for visual verification of app state during test execution","Extract text from screenshots using OCR to verify displayed content without accessibility tree","Overlay element bounds on screenshots to debug UI automation issues"],"best_for":["QA engineers creating visual regression tests for app UI","Automation engineers debugging element selection failures","Developers verifying app rendering across different screen sizes and orientations"],"limitations":["OCR accuracy depends on text size and image quality; small text (<12pt) has <80% accuracy","Screenshot capture adds 500-1000ms latency per screenshot due to ADB transfer","OCR processing adds 1-3 seconds per screenshot; no GPU acceleration available","Screenshots do not capture off-screen content or overlays from other apps"],"requires":["Device with screencap command available (built into Android 4.0+)","OCR library installed for text extraction (optional; requires additional dependencies)","Sufficient device storage for screenshot files","Device screen must be unlocked to capture screenshots"],"input_types":["screenshot format (PNG, JPEG)","OCR language (e.g., 'eng', 'chi_sim')","annotation options (element bounds, text, IDs)"],"output_types":["PNG image data","extracted text from OCR","element bounds and properties","annotated screenshot with overlays"],"categories":["image-visual","automation-workflow"],"confidence":0.5,"matches":0,"success_rate":0},{"id":"github-firerpa--lamda__cap_7","uri":"capability://automation.workflow.device.farm.orchestration.with.multi.device.parallel.execution","name":"device farm orchestration with multi-device parallel execution","description":"Manages multiple Android devices as a pool, distributing automation tasks across devices for parallel execution. Provides device allocation logic (round-robin, least-busy, capability-based) and handles device lifecycle (connect, disconnect, reset). Supports device grouping by capabilities (screen size, Android version, installed apps) and task scheduling based on device requirements. Includes health monitoring to detect offline or unresponsive devices and automatic failover to healthy devices.","intents":["Run test suites in parallel across multiple devices to reduce total execution time","Allocate devices based on test requirements (e.g., only run on Android 12+ devices)","Monitor device health and automatically remove offline devices from the pool"],"best_for":["QA teams running large test suites across multiple device configurations","CI/CD pipelines automating app testing on device farms","Mobile app developers testing across diverse device types and Android versions"],"limitations":["Device allocation overhead adds 100-500ms per task due to pool management","No built-in test result aggregation; requires external test framework integration","Device reset between tests can take 10-30 seconds depending on device state","Capability-based allocation requires manual device capability definition; no automatic capability detection"],"requires":["Multiple Android devices connected via USB or network ADB","LAMDA server running on each device","Network connectivity between client and all devices","Device pool configuration file with device IDs and capabilities"],"input_types":["device pool configuration (device IDs, capabilities)","task definitions with device requirements","allocation strategy (round-robin, least-busy, capability-based)","health check interval and timeout"],"output_types":["device allocation results","task execution status per device","device health status (online, offline, unhealthy)","pool utilization metrics"],"categories":["automation-workflow","tool-use-integration"],"confidence":0.5,"matches":0,"success_rate":0},{"id":"github-firerpa--lamda__cap_8","uri":"capability://tool.use.integration.mcp.model.context.protocol.server.integration.for.ai.agent.automation","name":"mcp (model context protocol) server integration for ai agent automation","description":"Exposes LAMDA capabilities as MCP server tools, enabling AI agents (Claude, other LLMs) to control Android devices through natural language instructions. Implements MCP tool definitions for UI automation, app management, and system control, with automatic parameter validation and error handling. Translates AI agent requests into LAMDA API calls and returns structured results for agent decision-making. Supports tool use chains where agents can sequence multiple LAMDA operations based on intermediate results.","intents":["Enable AI agents to automate Android app testing by describing test scenarios in natural language","Allow agents to make decisions based on app state (screenshots, UI elements) and adapt automation accordingly","Integrate LAMDA with AI-powered RPA workflows that combine multiple tools (web automation, data processing, mobile automation)"],"best_for":["AI/ML engineers building autonomous mobile testing agents","RPA teams integrating mobile automation into AI-powered workflows","Developers creating AI assistants that can control Android devices"],"limitations":["LLM latency (1-5 seconds per decision) makes real-time interaction slow compared to direct automation","AI agents may make incorrect decisions due to hallucination or misunderstanding of app state","Tool use chains require careful prompt engineering to ensure agents follow correct sequences","No built-in cost optimization; LLM API calls add per-request costs to automation workflows"],"requires":["MCP-compatible AI agent (Claude, other LLMs with tool use support)","LAMDA server running on Android device","Network connectivity between AI agent and LAMDA MCP server","Proper MCP tool definitions and parameter schemas"],"input_types":["natural language instructions from AI agent","MCP tool requests with typed parameters","screenshots and UI state for agent decision-making"],"output_types":["MCP tool results (success/failure with data)","screenshots for agent visual understanding","structured device state for agent reasoning"],"categories":["tool-use-integration","planning-reasoning"],"confidence":0.5,"matches":0,"success_rate":0},{"id":"github-firerpa--lamda__cap_9","uri":"capability://tool.use.integration.ssh.and.remote.access.tunneling.for.secure.device.connectivity","name":"ssh and remote access tunneling for secure device connectivity","description":"Establishes SSH tunnels to Android devices for secure remote access, enabling LAMDA client connections through firewalls and NAT. Supports port forwarding to expose LAMDA server ports through SSH tunnels, with automatic tunnel establishment and reconnection. Provides SSH key-based authentication and password authentication options. Integrates with OpenVPN for additional network security and device access across geographically distributed networks.","intents":["Connect to LAMDA servers on devices behind firewalls or NAT without exposing ports directly","Securely access device farms across different networks using SSH tunneling","Establish VPN connections for accessing devices in remote locations or cloud environments"],"best_for":["Teams managing device farms across multiple locations or cloud providers","Security-conscious organizations requiring encrypted device communication","Developers accessing devices in restricted network environments"],"limitations":["SSH tunneling adds 50-100ms latency per RPC call due to encryption overhead","Tunnel establishment takes 2-5 seconds; frequent reconnections impact automation speed","SSH key management adds operational complexity; no built-in key rotation","OpenVPN integration requires additional configuration and may conflict with device network settings"],"requires":["SSH server running on device or jump host","SSH client library installed on client machine (paramiko or system ssh)","SSH credentials (private key or password)","Network connectivity to SSH server","OpenVPN client installed for VPN-based access (optional)"],"input_types":["SSH host and port","SSH credentials (private key path or password)","port forwarding rules (local port to remote port)","OpenVPN configuration file (optional)"],"output_types":["SSH tunnel status (connected, disconnected, error)","forwarded port mappings","VPN connection status"],"categories":["tool-use-integration","automation-workflow"],"confidence":0.5,"matches":0,"success_rate":0}],"trust":{"score":47,"verified":false,"data_access_risk":"high","permissions":["Python 3.6-3.12 on client machine","Android device running Android 6.0-15 with root access","LAMDA server component installed and running on Android device","Network connectivity between client and device (LAN, VPN, or cloud tunnel)","gRPC and protobuf libraries installed via pip","Android device with accessibility services enabled","UIAutomator2 framework installed on device (built into Android 4.3+)","Target app must not explicitly disable accessibility tree exposure","Device screen must be unlocked and app in foreground for reliable interaction","Python 3.6+ for extension development"],"failure_modes":["Requires root access on Android device for server installation and operation","Network latency directly impacts command execution speed; no built-in command batching for latency optimization","gRPC overhead adds ~50-100ms per RPC call compared to direct ADB communication","Server must be running on Android device; no fallback to ADB-only mode","Accessibility tree parsing fails for apps with disabled accessibility services; no fallback to OCR-based element detection","XPath queries on large hierarchies (1000+ elements) add 200-500ms latency per query","Swipe and gesture recognition limited to linear paths; no support for multi-touch or complex gesture patterns","Element coordinates become stale if UI updates between hierarchy snapshot and interaction execution","Extension API stability not guaranteed across LAMDA versions; breaking changes may require extension updates","No built-in extension versioning or dependency management; manual version coordination required","builder identity is not verified yet","no observed match outcomes yet"],"rank_breakdown":{"adoption":0.6436095199005645,"quality":0.35,"ecosystem":0.6000000000000001,"match_graph":0.25,"freshness":0.75,"weights":{"adoption":0.25,"quality":0.25,"ecosystem":0.1,"match_graph":0.28,"freshness":0.12}},"observed_outcomes":{"matches":0,"success_rate":0,"avg_confidence":0,"top_intents":[],"last_matched_at":null},"maintenance":{"status":"active","updated_at":"2026-05-24T12:16:21.550Z","last_scraped_at":"2026-04-22T08:01:45.766Z","last_commit":"2026-03-24T01:53:06Z"},"community":{"stars":7728,"forks":1031,"weekly_downloads":null,"model_downloads":null,"model_likes":null}},"distribution":{"claim_url":"https://unfragile.ai/submit?claim=firerpa--lamda","compare_url":"https://unfragile.ai/compare?artifact=firerpa--lamda"}},"signature":"KBqnYz5I+AI3m40+Gs5auLL/8n4OXu7I2BTtRcswAMIHad5bmLKnZcFzCTsZU+NapSN0sBwsbyisypFZBUtUCQ==","signedAt":"2026-06-20T10:43:12.309Z","signedBy":"unfragile.ai","version":1},"_links":{"self":"https://unfragile.ai/api/v1/passport/firerpa--lamda","artifact":"https://unfragile.ai/firerpa--lamda","verify":"https://unfragile.ai/api/v1/verify?slug=firerpa--lamda","publicKey":"https://unfragile.ai/api/v1/trust-passport-public-key","spec":"https://unfragile.ai/trust","schema":"https://unfragile.ai/schema.json","docs":"https://unfragile.ai/docs"}}