{"passport":{"unfragile":{"@version":"1.0","version":"2026-05","artifact":{"id":"github-avdlee--rocketsimapp","slug":"avdlee--rocketsimapp","name":"RocketSimApp","type":"agent","url":"https://www.rocketsim.app","page_url":"https://unfragile.ai/avdlee--rocketsimapp","categories":["automation"],"tags":["accessibility","agent-skill","ai-automation","debugging","developer-tools","ios","ios-development","macos","network-monitoring","rocketsim","simulator","swift","testing","xcode","xcode-simulator"],"pricing":{"model":"open_source","free":true,"starting_price":null},"status":"active","verified":false},"capabilities":[{"id":"github-avdlee--rocketsimapp__cap_0","uri":"capability://data.processing.analysis.swift.playground.based.feature.definition.and.tracking.system","name":"swift playground-based feature definition and tracking system","description":"Maintains a canonical feature registry using Swift Playground as a single source of truth, with structured Feature structs defining metadata (name, status, description, category). The system automatically generates JSON output from the Playground that feeds both the documentation website and potentially the RocketSim application itself, eliminating manual synchronization between feature lists and product state.","intents":["Track feature status (Implemented, In Progress, Planned) across product releases without manual duplication","Generate consistent feature documentation and roadmap displays from a single authoritative source","Maintain feature metadata that can be consumed by multiple downstream systems (website, app, CLI)"],"best_for":["macOS/iOS development teams managing complex feature sets across multiple distribution channels","Product managers needing a developer-friendly way to track and communicate feature status"],"limitations":["Requires Xcode and Swift runtime to execute Playground — not suitable for CI/CD pipelines without additional tooling","Playground-based approach scales to ~100-200 features before performance degradation; not suitable for massive feature catalogs","No built-in versioning or branching for feature definitions — requires manual coordination for multi-version support"],"requires":["Xcode 13+ with Swift Playground support","macOS 11+ for Playground execution","Manual JSON export step or custom build script to integrate with CI/CD"],"input_types":["Swift code (Feature struct definitions)","Metadata (status enum, category strings, descriptions)"],"output_types":["JSON (rocketsim_features.json)","Structured feature metadata consumable by web and app layers"],"categories":["data-processing-analysis","automation-workflow"],"confidence":0.5,"matches":0,"success_rate":0},{"id":"github-avdlee--rocketsimapp__cap_1","uri":"capability://text.generation.language.astro.powered.documentation.and.marketing.website.generation.from.feature.data","name":"astro-powered documentation and marketing website generation from feature data","description":"Consumes the generated rocketsim_features.json and renders it through an Astro-based static site generator with React components, creating marketing pages, feature documentation, and blog content. The system uses Starlight theme overrides and custom component layers to display features dynamically while maintaining SEO optimization through structured JSON-LD metadata and per-page OpenGraph tags.","intents":["Render feature lists and roadmaps dynamically from the feature registry without manual HTML updates","Generate SEO-optimized marketing pages that reflect current product state","Maintain consistent branding and layout across documentation, blog, and marketing content"],"best_for":["Developer tool companies needing to keep marketing sites synchronized with product feature state","Teams using Astro/React stack who want feature-driven content generation"],"limitations":["Static site generation requires rebuild and redeploy for feature updates — not suitable for real-time feature announcements","Starlight theme customization has limited extensibility; complex custom layouts require forking theme components","SEO metadata generation is template-based; dynamic feature-specific SEO requires manual per-page configuration"],"requires":["Node.js 18+","Astro 3.0+","React 18+ (for component rendering)","Generated rocketsim_features.json from feature management system"],"input_types":["JSON (rocketsim_features.json)","Markdown (blog posts, documentation pages)","Astro/React components (layout and display logic)"],"output_types":["Static HTML/CSS/JS (deployed website)","JSON-LD structured data (for search engines)","OpenGraph metadata (for social sharing)"],"categories":["text-generation-language","automation-workflow"],"confidence":0.5,"matches":0,"success_rate":0},{"id":"github-avdlee--rocketsimapp__cap_10","uri":"capability://automation.workflow.simulator.state.persistence.and.app.launch.configuration","name":"simulator state persistence and app launch configuration","description":"Manages iOS Simulator state including app installation, launch arguments, environment variables, and persistent data across simulator sessions. The system allows configuration of simulator state through CLI commands or configuration files, enabling reproducible testing environments and automated app initialization without manual simulator setup.","intents":["Configure simulator state and app launch parameters for reproducible testing","Automate app installation and initialization for CI/CD pipelines","Persist simulator state across test runs for integration testing"],"best_for":["CI/CD pipelines automating iOS app testing","Teams running integration tests with specific simulator configurations","Developers needing reproducible simulator environments"],"limitations":["Simulator state is ephemeral; cannot persist across simulator restarts without explicit save/restore","App data persistence is limited to simulator's document directory; cannot directly manipulate app databases","Launch arguments are app-specific; no standard format for cross-app configuration","State restoration may fail if app version changes; requires manual state reset for version upgrades"],"requires":["iOS Simulator running on macOS","RocketSim CLI with state management module","Target app installed on simulator"],"input_types":["CLI commands (state configuration, app launch parameters)","Configuration files (YAML/JSON with simulator state)","Environment variables (for app launch)"],"output_types":["JSON (current simulator state, app configuration)","Text (state persistence status, error messages)","Logs (app launch output, initialization status)"],"categories":["automation-workflow","tool-use-integration"],"confidence":0.5,"matches":0,"success_rate":0},{"id":"github-avdlee--rocketsimapp__cap_11","uri":"capability://data.processing.analysis.performance.profiling.and.metrics.collection.from.ios.simulator","name":"performance profiling and metrics collection from ios simulator","description":"Collects performance metrics from apps running in the iOS Simulator including CPU usage, memory consumption, frame rate, and battery drain estimation. The system provides both real-time monitoring (via GUI) and batch collection (via CLI) with structured output suitable for performance regression testing and optimization analysis.","intents":["Monitor app performance during development to identify performance regressions","Collect performance metrics for automated performance testing in CI/CD","Analyze performance characteristics across different device configurations and iOS versions"],"best_for":["iOS development teams optimizing app performance","QA teams running performance regression tests","Teams integrating performance testing into CI/CD pipelines"],"limitations":["Performance metrics from simulator may not accurately reflect device performance due to simulator overhead","Battery drain estimation is simulator-based and not representative of actual device battery behavior","Real-time monitoring has overhead that may affect measured performance; batch collection is more accurate","Profiling is limited to app-level metrics; system-level profiling requires Xcode Instruments"],"requires":["iOS Simulator running on macOS","RocketSim performance profiling module enabled","Target app running on simulator"],"input_types":["Running app in simulator (automatic metric collection)","Profiling configuration (metrics to collect, collection interval)","Test scenario (app actions to profile)"],"output_types":["JSON (performance metrics with timestamps)","CSV (for spreadsheet analysis and graphing)","HTML report (formatted performance analysis)","Structured data (for CI/CD integration and threshold comparison)"],"categories":["data-processing-analysis","automation-workflow"],"confidence":0.5,"matches":0,"success_rate":0},{"id":"github-avdlee--rocketsimapp__cap_2","uri":"capability://tool.use.integration.rocketsim.cli.based.ai.agent.automation.interface","name":"rocketsim cli-based ai agent automation interface","description":"Exposes RocketSim's 30+ simulator tools through a command-line interface that can be invoked by AI agents and automation scripts. The CLI provides structured input/output for operations like network monitoring, accessibility testing, screenshot capture, and app action simulation, enabling agents to programmatically control the iOS Simulator and extract testing data without GUI interaction.","intents":["Enable AI agents to automate iOS app testing by invoking simulator tools via CLI commands","Integrate RocketSim capabilities into CI/CD pipelines and automated testing workflows","Provide structured data output from simulator operations for agent decision-making and analysis"],"best_for":["AI agent developers building iOS testing automation workflows","CI/CD pipeline engineers integrating simulator testing into deployment processes","Teams using agentic frameworks (LangChain, AutoGPT, etc.) for app testing"],"limitations":["CLI interface requires macOS with Xcode and RocketSim installed — not portable to Linux/Windows CI environments","Agent automation requires explicit prompt engineering to map high-level testing intents to specific CLI commands","No built-in error recovery or retry logic — agents must implement their own fault tolerance for flaky simulator operations","CLI output format may vary across RocketSim versions, requiring version pinning in agent prompts"],"requires":["macOS 11+","Xcode 13+ with iOS Simulator","RocketSim application installed from Mac App Store","AI agent framework with shell command execution capability"],"input_types":["CLI arguments (command, flags, parameters)","Structured JSON payloads (for complex operations)","File paths (for screenshots, logs, test artifacts)"],"output_types":["JSON (structured test results, metrics)","Text (logs, error messages)","Binary (screenshots, video recordings)","CSV/structured data (network traces, accessibility reports)"],"categories":["tool-use-integration","automation-workflow"],"confidence":0.5,"matches":0,"success_rate":0},{"id":"github-avdlee--rocketsimapp__cap_3","uri":"capability://data.processing.analysis.network.traffic.monitoring.and.inspection.from.ios.simulator","name":"network traffic monitoring and inspection from ios simulator","description":"Intercepts and analyzes HTTP/HTTPS network traffic from apps running in the iOS Simulator, providing detailed request/response inspection, filtering, and export capabilities. The implementation hooks into the simulator's network stack to capture traffic without requiring app-level proxy configuration, and exposes data through both GUI and CLI interfaces for debugging and testing purposes.","intents":["Debug network issues in iOS apps by inspecting real HTTP traffic without modifying app code","Verify API contracts and response formats during development and testing","Export network traces for performance analysis and security auditing"],"best_for":["iOS developers debugging network-related bugs in development","QA teams validating API integration and data flow","Security teams auditing app network behavior"],"limitations":["HTTPS traffic inspection requires installing RocketSim's certificate on the simulator — not suitable for testing against pinned certificates","Network capture is simulator-only; cannot monitor traffic from physical devices","High-volume traffic capture (>1000 requests/minute) may impact simulator performance","Encrypted traffic inspection is limited to apps that don't implement certificate pinning"],"requires":["iOS Simulator running on macOS","RocketSim application with network monitoring module enabled","Optional: custom certificate installation for HTTPS inspection"],"input_types":["Network traffic from simulator (automatic capture)","Filter expressions (URL patterns, status codes, headers)","Configuration (capture scope, export format)"],"output_types":["JSON (request/response metadata)","HAR format (HTTP Archive for compatibility with other tools)","CSV (for spreadsheet analysis)","Raw HTTP traces (for detailed inspection)"],"categories":["data-processing-analysis","debugging-tools"],"confidence":0.5,"matches":0,"success_rate":0},{"id":"github-avdlee--rocketsimapp__cap_4","uri":"capability://safety.moderation.accessibility.testing.and.validation.for.ios.apps","name":"accessibility testing and validation for ios apps","description":"Analyzes iOS app UI for accessibility compliance issues including VoiceOver support, dynamic type scaling, color contrast, and touch target sizing. The system scans the view hierarchy and generates a report of accessibility violations with severity levels and remediation guidance, accessible through both interactive GUI inspection and CLI-based reporting for automated testing.","intents":["Identify accessibility issues in iOS apps before user testing or app store submission","Validate VoiceOver compatibility and screen reader behavior","Ensure compliance with WCAG 2.1 and Apple accessibility guidelines"],"best_for":["iOS development teams building accessible apps","QA teams validating accessibility compliance","Developers integrating accessibility testing into CI/CD pipelines"],"limitations":["Automated scanning detects structural issues but cannot validate semantic correctness of accessibility labels","Dynamic content changes require re-scanning; no continuous monitoring during app interaction","Color contrast analysis is limited to static UI elements; cannot analyze dynamic or image-based content","Touch target sizing validation assumes standard iOS touch targets; custom gesture recognizers are not analyzed"],"requires":["iOS Simulator with target app running","RocketSim accessibility module enabled","iOS 14+ for full accessibility API support"],"input_types":["Running iOS app in simulator (automatic UI hierarchy inspection)","Configuration (accessibility standards to validate against)","Custom rules (for app-specific accessibility requirements)"],"output_types":["JSON (accessibility violations with severity and location)","HTML report (formatted accessibility audit)","CLI output (structured violations for CI/CD integration)","Remediation guidance (specific fixes for each issue)"],"categories":["safety-moderation","data-processing-analysis"],"confidence":0.5,"matches":0,"success_rate":0},{"id":"github-avdlee--rocketsimapp__cap_5","uri":"capability://image.visual.screenshot.and.video.capture.with.annotation.and.export","name":"screenshot and video capture with annotation and export","description":"Captures screenshots and video recordings from the iOS Simulator with support for device frame overlays, annotation tools, and multi-format export. The system provides both interactive capture (with real-time preview and editing) and CLI-based capture for automated workflows, storing media in standard formats (PNG, MP4) with metadata for documentation and testing purposes.","intents":["Capture app screenshots for documentation, marketing, and app store listings","Record video demonstrations of app features and user flows","Generate visual test artifacts for regression testing and bug reporting"],"best_for":["iOS developers creating app documentation and marketing materials","QA teams generating visual test evidence","Product teams creating feature demonstrations"],"limitations":["Video capture is limited to simulator frame rate (typically 60fps); cannot capture higher frame rate content","Device frame overlays are limited to standard Apple device models; custom device frames require manual creation","Annotation tools are basic; complex image editing requires external tools","Large video files (>500MB) may require external compression for storage and sharing"],"requires":["iOS Simulator running on macOS","RocketSim application with capture module enabled","Sufficient disk space for video recordings (varies by duration and resolution)"],"input_types":["Running iOS app in simulator (automatic capture source)","Capture configuration (format, duration, device frame options)","Annotation data (text, shapes, highlights)"],"output_types":["PNG (screenshots with optional device frames)","MP4 (video recordings)","JSON (capture metadata, timestamps, annotations)","PDF (multi-page screenshot documents)"],"categories":["image-visual","automation-workflow"],"confidence":0.5,"matches":0,"success_rate":0},{"id":"github-avdlee--rocketsimapp__cap_6","uri":"capability://tool.use.integration.app.action.simulation.and.deep.linking.from.cli","name":"app action simulation and deep linking from cli","description":"Enables programmatic simulation of app actions including deep link invocation, URL scheme handling, and app state transitions through CLI commands. The system translates high-level action descriptions into simulator-level operations, allowing agents and automation scripts to navigate app flows without GUI interaction or manual state setup.","intents":["Automate app navigation and state transitions for testing without manual interaction","Test deep linking and URL scheme handling across different app states","Simulate user flows for end-to-end testing and validation"],"best_for":["AI agents automating iOS app testing workflows","CI/CD pipelines running automated app flow validation","Teams testing deep linking and URL scheme integration"],"limitations":["App action simulation is limited to actions exposed by the app's URL scheme or deep linking configuration","State transitions may be non-deterministic if app has asynchronous initialization or network dependencies","Complex user interactions (multi-touch gestures, drag-and-drop) are not supported; only high-level actions","Requires app to be properly configured for deep linking; cannot simulate actions for apps without URL scheme support"],"requires":["iOS Simulator with target app installed and running","RocketSim CLI with app action module enabled","App configured with URL schemes or deep linking support"],"input_types":["CLI commands (action name, parameters)","Deep links (URL format)","App state configuration (initial conditions)"],"output_types":["JSON (action execution result, app state after action)","Text (success/failure status, error messages)","Screenshots (app state after action execution)"],"categories":["tool-use-integration","automation-workflow"],"confidence":0.5,"matches":0,"success_rate":0},{"id":"github-avdlee--rocketsimapp__cap_7","uri":"capability://text.generation.language.feature.status.and.roadmap.visualization.from.json.registry","name":"feature status and roadmap visualization from json registry","description":"Renders the feature registry (rocketsim_features.json) as interactive roadmap and feature list pages on the documentation website, with filtering by status (Implemented, In Progress, Planned) and category. The visualization system uses React components to create dynamic feature displays that automatically update when the feature registry is regenerated, maintaining consistency between product state and public-facing roadmap.","intents":["Display current and planned features to users without manual roadmap maintenance","Communicate feature status and development progress transparently","Filter and search features by category and status for user discovery"],"best_for":["Product teams wanting to maintain a transparent, data-driven roadmap","Developer tool companies communicating feature status to users","Teams using feature-driven development with automated status tracking"],"limitations":["Roadmap updates require website rebuild and redeploy; not suitable for real-time feature announcements","Feature categorization is limited to predefined categories in the feature registry; custom groupings require code changes","User feedback on features is not integrated; roadmap is read-only from user perspective","Historical feature status is not tracked; cannot show feature timeline or when features were released"],"requires":["Generated rocketsim_features.json from feature management system","Astro build process to generate static pages","React components for feature display rendering"],"input_types":["JSON (rocketsim_features.json with feature definitions and status)","Filter parameters (status, category, search query)"],"output_types":["HTML (rendered feature pages)","JSON (feature data for client-side filtering)","Structured data (JSON-LD for search engine indexing)"],"categories":["text-generation-language","data-processing-analysis"],"confidence":0.5,"matches":0,"success_rate":0},{"id":"github-avdlee--rocketsimapp__cap_8","uri":"capability://text.generation.language.structured.metadata.generation.and.seo.optimization.for.documentation.pages","name":"structured metadata generation and seo optimization for documentation pages","description":"Automatically generates SEO metadata (OpenGraph tags, JSON-LD structured data, meta descriptions) for documentation and feature pages based on content and feature data. The system uses Astro's metadata management to create per-page SEO configuration that improves search engine visibility and social media sharing, with support for dynamic metadata based on feature status and content type.","intents":["Improve search engine ranking for documentation and feature pages","Optimize social media sharing with rich preview cards","Provide structured data for search engines to understand content hierarchy and relationships"],"best_for":["Developer tool companies optimizing documentation discoverability","Teams using Astro for static site generation with SEO requirements","Content teams managing large documentation sites"],"limitations":["Metadata generation is template-based; highly custom SEO strategies require code changes","Dynamic content (e.g., user-generated feature requests) cannot be indexed without additional tooling","JSON-LD schema is limited to basic types (Article, Product); complex domain-specific schemas require custom implementation","Social media preview optimization is limited to standard OpenGraph tags; platform-specific optimizations (Twitter Cards, LinkedIn) require additional configuration"],"requires":["Astro 3.0+ with metadata support","Content collections system for page organization","Feature registry (rocketsim_features.json) for feature-specific metadata"],"input_types":["Page content (markdown, frontmatter)","Feature data (from rocketsim_features.json)","Metadata configuration (SEO templates, canonical URLs)"],"output_types":["HTML meta tags (OpenGraph, Twitter Cards, standard meta)","JSON-LD structured data (for search engines)","Sitemap entries (for search engine crawling)","Social media preview cards (for sharing platforms)"],"categories":["text-generation-language","data-processing-analysis"],"confidence":0.5,"matches":0,"success_rate":0},{"id":"github-avdlee--rocketsimapp__cap_9","uri":"capability://text.generation.language.multi.format.content.collection.and.page.rendering.system","name":"multi-format content collection and page rendering system","description":"Organizes documentation, blog posts, and marketing content using Astro's content collections system with support for multiple page types (marketing pages, documentation pages, blog posts, legal pages). The system uses a unified layout and component infrastructure to render different content types consistently, with automatic routing and navigation menu generation based on content structure.","intents":["Organize and render diverse content types (docs, blog, marketing) with consistent branding and layout","Automatically generate navigation menus and site structure from content organization","Maintain content in markdown with frontmatter metadata for easy editing and version control"],"best_for":["Developer tool companies managing documentation, blog, and marketing content together","Teams using Astro for static site generation with complex content hierarchies","Content teams preferring markdown-based content management"],"limitations":["Content collections require predefined schemas; dynamic content types require code changes","Markdown rendering is limited to standard markdown syntax; complex formatting requires custom components","Navigation menu generation is automatic but limited to simple hierarchies; complex menu structures require manual configuration","Content search is not built-in; requires external search service (Algolia, Meilisearch) for full-text search"],"requires":["Astro 3.0+ with content collections support","Markdown files organized by content type","Frontmatter metadata for each content file"],"input_types":["Markdown files (content)","Frontmatter YAML (metadata, routing, layout configuration)","React/Astro components (custom content rendering)"],"output_types":["Static HTML pages (rendered content)","Navigation data (for menu generation)","Sitemap (for search engine crawling)","RSS feeds (for blog content)"],"categories":["text-generation-language","automation-workflow"],"confidence":0.5,"matches":0,"success_rate":0}],"trust":{"score":43,"verified":false,"data_access_risk":"low","permissions":["Xcode 13+ with Swift Playground support","macOS 11+ for Playground execution","Manual JSON export step or custom build script to integrate with CI/CD","Node.js 18+","Astro 3.0+","React 18+ (for component rendering)","Generated rocketsim_features.json from feature management system","iOS Simulator running on macOS","RocketSim CLI with state management module","Target app installed on simulator"],"failure_modes":["Requires Xcode and Swift runtime to execute Playground — not suitable for CI/CD pipelines without additional tooling","Playground-based approach scales to ~100-200 features before performance degradation; not suitable for massive feature catalogs","No built-in versioning or branching for feature definitions — requires manual coordination for multi-version support","Static site generation requires rebuild and redeploy for feature updates — not suitable for real-time feature announcements","Starlight theme customization has limited extensibility; complex custom layouts require forking theme components","SEO metadata generation is template-based; dynamic feature-specific SEO requires manual per-page configuration","Simulator state is ephemeral; cannot persist across simulator restarts without explicit save/restore","App data persistence is limited to simulator's document directory; cannot directly manipulate app databases","Launch arguments are app-specific; no standard format for cross-app configuration","State restoration may fail if app version changes; requires manual state reset for version upgrades","builder identity is not verified yet","no observed match outcomes yet"],"rank_breakdown":{"adoption":0.3643010605288707,"quality":0.49,"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":"2026-05-24T12:16:21.549Z","last_scraped_at":"2026-05-03T13:59:57.743Z","last_commit":"2026-04-30T13:35:40Z"},"community":{"stars":736,"forks":32,"weekly_downloads":null,"model_downloads":null,"model_likes":null}},"distribution":{"claim_url":"https://unfragile.ai/submit?claim=avdlee--rocketsimapp","compare_url":"https://unfragile.ai/compare?artifact=avdlee--rocketsimapp"}},"signature":"IVmHmis8GPZJoK/Z9X/rqJcausB1XUh94h9wERN1uvPzVigi7w761GWPyoGu/8sX11JfKVLnJc9k+bDROcKzDw==","signedAt":"2026-06-21T15:07:51.111Z","signedBy":"unfragile.ai","version":1},"_links":{"self":"https://unfragile.ai/api/v1/passport/avdlee--rocketsimapp","artifact":"https://unfragile.ai/avdlee--rocketsimapp","verify":"https://unfragile.ai/api/v1/verify?slug=avdlee--rocketsimapp","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"}}