{"passport":{"unfragile":{"@version":"1.0","version":"2026-05","artifact":{"id":"awesome-stumbleuponawesome","slug":"stumbleuponawesome","name":"StumbleUponAwesome","type":"repo","url":"https://github.com/basharovV/StumbleUponAwesome","page_url":"https://unfragile.ai/stumbleuponawesome","categories":["automation","model-training"],"tags":[],"pricing":{"model":"open_source","free":true,"starting_price":null},"status":"active","verified":false},"capabilities":[{"id":"awesome-stumbleuponawesome__cap_0","uri":"capability://search.retrieval.random.awesome.list.discovery","name":"random-awesome-list-discovery","description":"Samples random entries from the curated Awesome dataset (a collection of community-maintained lists across programming, tools, and resources) and surfaces them to users through a browser extension UI. The extension maintains a local or cached copy of the Awesome dataset structure, implements random selection logic with optional filtering by category/topic, and displays results in a discoverable card-based interface that mimics the StumbleUpon serendipity model.","intents":["I want to discover random tools, libraries, or resources I wouldn't normally search for","I need a way to explore the Awesome ecosystem without knowing what to look for","I want to stumble upon interesting projects across multiple categories during my browsing"],"best_for":["developers exploring new tools and libraries","students learning about ecosystem breadth","tech enthusiasts seeking serendipitous discovery"],"limitations":["Discovery is limited to entries already in the Awesome dataset — no real-time web crawling or trending detection","Random selection is uniform across all categories — no personalization or relevance ranking based on user history","Dataset freshness depends on manual updates to the Awesome lists — may lag behind new releases"],"requires":["Modern browser with extension support (Chrome, Firefox, Edge)","Internet connection to fetch or sync Awesome dataset","Browser extension API permissions for UI injection and storage"],"input_types":["category filter (optional)","user click to trigger discovery"],"output_types":["structured entry object (title, URL, description, category)","rendered HTML card in browser UI"],"categories":["search-retrieval","browser-extension"],"confidence":0.5,"matches":0,"success_rate":0},{"id":"awesome-stumbleuponawesome__cap_1","uri":"capability://data.processing.analysis.awesome.dataset.caching.and.sync","name":"awesome-dataset-caching-and-sync","description":"Manages local or browser-storage caching of the Awesome dataset (likely fetched from GitHub or a JSON mirror) with periodic sync logic to keep entries fresh. The extension implements a cache layer that stores serialized Awesome list entries, tracks last-sync timestamps, and implements a refresh strategy (on-demand or scheduled) to pull updates without blocking the UI or consuming excessive bandwidth.","intents":["I want the extension to work offline or with minimal network calls","I need the dataset to stay reasonably fresh without manual updates","I want fast random selection without waiting for API responses"],"best_for":["users with intermittent internet connectivity","developers wanting minimal extension overhead","teams deploying the extension across many users"],"limitations":["Cache size grows with Awesome dataset size — may hit browser storage limits (typically 5-50MB depending on browser)","Sync strategy is simple (time-based or on-demand) — no intelligent delta updates or compression","No conflict resolution if multiple extension instances try to sync simultaneously"],"requires":["Browser localStorage or IndexedDB API support","Network access to Awesome dataset source (GitHub raw or JSON API)","Sufficient browser storage quota (typically 5-10MB minimum)"],"input_types":["Awesome dataset JSON or markdown","sync trigger (timer or user action)"],"output_types":["serialized cache object in browser storage","in-memory dataset for random selection"],"categories":["data-processing-analysis","memory-knowledge"],"confidence":0.5,"matches":0,"success_rate":0},{"id":"awesome-stumbleuponawesome__cap_2","uri":"capability://search.retrieval.category.aware.filtering.and.navigation","name":"category-aware-filtering-and-navigation","description":"Provides UI controls to filter random discoveries by Awesome list category (e.g., 'Programming Languages', 'DevOps', 'Design') and navigate between categories. The extension parses the Awesome dataset structure to extract category hierarchies, renders a filterable category menu, and constrains random selection to the chosen category or allows cross-category browsing with category labels on results.","intents":["I want to discover tools only in a specific domain I'm interested in","I want to see what category a random discovery belongs to","I want to browse multiple categories without reloading the extension"],"best_for":["developers with specific domain interests","learners exploring a particular technology area","teams evaluating tools within a category"],"limitations":["Category structure is fixed to the Awesome dataset's organization — no custom category creation or tagging","Filtering is client-side only — no server-side indexing means slower filtering on very large datasets","Nested categories may not be fully supported depending on UI complexity"],"requires":["Awesome dataset with parseable category metadata","Browser extension UI rendering capability","JavaScript event handling for filter controls"],"input_types":["category selection from dropdown or menu","user click on category label"],"output_types":["filtered list of entries","category-labeled discovery card"],"categories":["search-retrieval","tool-use-integration"],"confidence":0.5,"matches":0,"success_rate":0},{"id":"awesome-stumbleuponawesome__cap_3","uri":"capability://tool.use.integration.browser.extension.ui.rendering","name":"browser-extension-ui-rendering","description":"Renders the discovery interface as a browser extension popup, sidebar, or new-tab override with HTML/CSS/JavaScript, displaying random Awesome entries as clickable cards with title, description, URL, and category metadata. The UI implements event handlers for 'next' (get another random entry), 'open' (navigate to URL), and 'filter' (change category) actions, with styling that matches the browser's native look-and-feel.","intents":["I want a quick way to see a random discovery without opening a new tab","I want to click through to the discovered resource immediately","I want the extension UI to feel native and responsive"],"best_for":["users who want quick access from the browser toolbar","developers building lightweight browser extensions","teams wanting a minimal UI footprint"],"limitations":["Popup UI has limited screen real estate — may truncate long descriptions or require scrolling","Styling must account for browser theme (light/dark mode) — adds CSS complexity","No persistent UI state across browser sessions unless explicitly stored"],"requires":["Browser extension manifest.json with popup or sidebar permissions","HTML/CSS/JavaScript for UI rendering","Content Security Policy compliance for inline scripts"],"input_types":["user click on extension icon","keyboard shortcut (if configured)","new-tab event (if new-tab override)"],"output_types":["rendered HTML popup or sidebar","navigation to external URL on click"],"categories":["tool-use-integration","automation-workflow"],"confidence":0.5,"matches":0,"success_rate":0},{"id":"awesome-stumbleuponawesome__cap_4","uri":"capability://automation.workflow.keyboard.shortcut.triggered.discovery","name":"keyboard-shortcut-triggered-discovery","description":"Registers a browser extension keyboard shortcut (e.g., Ctrl+Shift+A) that instantly triggers a random discovery and displays it in a popup or overlay without requiring a mouse click on the extension icon. The shortcut handler fetches a random entry from the cached dataset, renders it in a lightweight modal or popup, and allows keyboard navigation (arrow keys to next, Enter to open, Escape to close).","intents":["I want to discover something new without interrupting my workflow","I want keyboard-only navigation for faster discovery browsing","I want to trigger discovery from any page without clicking the extension icon"],"best_for":["power users and developers who prefer keyboard shortcuts","users with accessibility needs","teams optimizing for workflow efficiency"],"limitations":["Keyboard shortcuts may conflict with browser or website shortcuts — requires user configuration","Shortcut availability depends on browser and OS — not all combinations are supported","Keyboard navigation requires additional UI logic and testing across browsers"],"requires":["Browser extension commands API support","Manifest.json configuration with commands key","JavaScript event listeners for keyboard input"],"input_types":["keyboard shortcut (e.g., Ctrl+Shift+A)","keyboard navigation keys (arrow, Enter, Escape)"],"output_types":["modal or popup with random entry","navigation to external URL"],"categories":["automation-workflow","tool-use-integration"],"confidence":0.5,"matches":0,"success_rate":0},{"id":"awesome-stumbleuponawesome__cap_5","uri":"capability://data.processing.analysis.link.preview.and.metadata.extraction","name":"link-preview-and-metadata-extraction","description":"Fetches and displays preview metadata (favicon, page title, description snippet) for discovered Awesome entries before the user navigates to them. The extension implements a lightweight metadata extractor that parses the target URL's Open Graph or meta tags, caches results, and displays a rich preview card with visual context, helping users decide whether to click through.","intents":["I want to see what a discovered resource looks like before clicking","I want visual context (favicon, title) to help me decide if it's relevant","I want to avoid clicking on dead links or irrelevant resources"],"best_for":["users browsing unfamiliar resources","teams evaluating tools before deeper investigation","developers wanting richer discovery context"],"limitations":["Metadata extraction requires network requests — adds latency and bandwidth overhead","CORS restrictions may prevent fetching metadata from some URLs","Cached metadata becomes stale — requires periodic refresh or invalidation","Some sites block metadata extraction or serve minimal Open Graph tags"],"requires":["Network access to target URLs","CORS-compliant metadata endpoints or server-side proxy","HTML parsing library or regex-based meta tag extraction"],"input_types":["URL from Awesome entry","cache invalidation trigger"],"output_types":["structured metadata object (title, description, favicon URL)","rendered preview card in UI"],"categories":["data-processing-analysis","search-retrieval"],"confidence":0.5,"matches":0,"success_rate":0},{"id":"awesome-stumbleuponawesome__cap_6","uri":"capability://memory.knowledge.discovery.history.and.bookmarking","name":"discovery-history-and-bookmarking","description":"Maintains a local history of discovered entries and allows users to bookmark favorites for later reference. The extension stores discovered entries in browser storage with timestamps, renders a history/bookmarks panel in the UI, and provides search or filtering over saved entries. Bookmarks are persisted across browser sessions and can be exported as JSON or imported from external sources.","intents":["I want to remember resources I discovered but didn't have time to explore","I want to build a personal collection of tools and libraries","I want to export my discoveries for sharing with teammates"],"best_for":["users who want to curate personal tool collections","teams sharing discovery results","developers building on top of the extension"],"limitations":["Storage is browser-local — not synced across devices unless explicitly exported/imported","History grows unbounded — may hit storage limits without cleanup logic","No server-side persistence — data is lost if browser storage is cleared","Export/import requires manual action — no automatic cloud sync"],"requires":["Browser localStorage or IndexedDB","UI controls for history/bookmarks panel","JSON serialization for export/import"],"input_types":["user click to bookmark or add to history","JSON file for import","search query over history"],"output_types":["history/bookmarks list in UI","JSON export file","filtered history results"],"categories":["memory-knowledge","automation-workflow"],"confidence":0.5,"matches":0,"success_rate":0},{"id":"awesome-stumbleuponawesome__cap_7","uri":"capability://tool.use.integration.awesome.dataset.source.management","name":"awesome-dataset-source-management","description":"Allows users to configure which Awesome dataset sources the extension pulls from (e.g., official Awesome GitHub, community mirrors, custom lists). The extension maintains a list of dataset sources with URLs, implements source validation and fallback logic, and lets users enable/disable sources or add custom ones. This enables flexibility in what gets discovered without requiring code changes.","intents":["I want to discover from curated lists beyond the official Awesome repo","I want to add my team's internal tool list to the discovery pool","I want to disable certain categories or sources I'm not interested in"],"best_for":["teams with custom tool lists","users wanting to extend discovery beyond official Awesome","organizations managing internal knowledge bases"],"limitations":["Custom sources must be in a compatible format (JSON or markdown) — requires user effort to prepare","No validation of custom source quality — users can add spam or malicious links","Source management UI adds complexity — requires settings panel and persistence","Merging multiple sources may create duplicates or conflicts"],"requires":["Settings UI for source management","URL validation and HTTP fetch logic","Format parser for multiple source types","Browser storage for source configuration"],"input_types":["source URL (string)","source enable/disable toggle","custom source JSON or markdown"],"output_types":["merged dataset from multiple sources","source configuration object"],"categories":["tool-use-integration","data-processing-analysis"],"confidence":0.5,"matches":0,"success_rate":0}],"trust":{"score":24,"verified":false,"data_access_risk":"high","permissions":["Modern browser with extension support (Chrome, Firefox, Edge)","Internet connection to fetch or sync Awesome dataset","Browser extension API permissions for UI injection and storage","Browser localStorage or IndexedDB API support","Network access to Awesome dataset source (GitHub raw or JSON API)","Sufficient browser storage quota (typically 5-10MB minimum)","Awesome dataset with parseable category metadata","Browser extension UI rendering capability","JavaScript event handling for filter controls","Browser extension manifest.json with popup or sidebar permissions"],"failure_modes":["Discovery is limited to entries already in the Awesome dataset — no real-time web crawling or trending detection","Random selection is uniform across all categories — no personalization or relevance ranking based on user history","Dataset freshness depends on manual updates to the Awesome lists — may lag behind new releases","Cache size grows with Awesome dataset size — may hit browser storage limits (typically 5-50MB depending on browser)","Sync strategy is simple (time-based or on-demand) — no intelligent delta updates or compression","No conflict resolution if multiple extension instances try to sync simultaneously","Category structure is fixed to the Awesome dataset's organization — no custom category creation or tagging","Filtering is client-side only — no server-side indexing means slower filtering on very large datasets","Nested categories may not be fully supported depending on UI complexity","Popup UI has limited screen real estate — may truncate long descriptions or require scrolling","builder identity is not verified yet","no observed match outcomes yet"],"rank_breakdown":{"adoption":0.05,"quality":0.26,"ecosystem":0.49999999999999994,"match_graph":0.25,"freshness":0.52,"weights":{"adoption":0.3,"quality":0.2,"ecosystem":0.15,"match_graph":0.3,"freshness":0.05}},"observed_outcomes":{"matches":0,"success_rate":0,"avg_confidence":0,"top_intents":[],"last_matched_at":null},"maintenance":{"status":"active","updated_at":"2026-06-17T09:51:04.049Z","last_scraped_at":"2026-05-03T14:00:00.176Z","last_commit":null},"community":{"stars":null,"forks":null,"weekly_downloads":null,"model_downloads":null,"model_likes":null}},"distribution":{"claim_url":"https://unfragile.ai/submit?claim=stumbleuponawesome","compare_url":"https://unfragile.ai/compare?artifact=stumbleuponawesome"}},"signature":"YOgV/iM+JhWtV19PcLJ6PuJVbVazhoowqo8kM0KO5iciObqh7Wnv2j88I1x53tjVgeGPgloxx2AZEfcsACV2Bw==","signedAt":"2026-06-20T08:22:30.622Z","signedBy":"unfragile.ai","version":1},"_links":{"self":"https://unfragile.ai/api/v1/passport/stumbleuponawesome","artifact":"https://unfragile.ai/stumbleuponawesome","verify":"https://unfragile.ai/api/v1/verify?slug=stumbleuponawesome","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"}}