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The architecture intercepts Chrome's session cookies and authentication state through Chrome DevTools Protocol (CDP) connections, allowing commands to piggyback on user-authenticated web sessions without ever exposing passwords or tokens to the CLI runtime.","intents":["Execute authenticated API calls without storing credentials or API keys","Access website functionality as CLI commands while maintaining existing browser login sessions","Avoid account security flags from repeated authentication attempts","Build CLI wrappers for websites without managing credential rotation"],"best_for":["AI agents needing secure access to authenticated web services","Teams building CLI tools for internal web platforms without credential management overhead","Developers wrapping SaaS platforms (Twitter, Reddit, Bilibili) into CLI interfaces"],"limitations":["Requires Chrome/Chromium browser with extension support; no headless-only execution","Session reuse depends on active browser authentication; expired sessions require manual re-login in browser","Daemon must maintain persistent connection to Chrome instance, adding memory overhead (~50-100MB per active session)","Cross-domain session sharing limited to same-origin policy; cannot reuse sessions across unrelated domains"],"requires":["Chrome/Chromium 90+","Browser Bridge Chrome Extension installed and enabled","OpenCLI daemon running with CDP connection to Chrome","Node.js 16+"],"input_types":["CLI command arguments","URL/domain identifier","Query parameters"],"output_types":["JSON","plain text","structured data","HTML (raw or parsed)"],"categories":["tool-use-integration","automation-workflow"],"confidence":0.5,"matches":0,"success_rate":0},{"id":"github-jackwener--opencli__cap_1","uri":"capability://code.generation.editing.declarative.yaml.based.adapter.pipeline.generation","name":"declarative yaml-based adapter pipeline generation","description":"Transforms websites into CLI commands using declarative YAML pipelines that define data extraction, transformation, and output steps without code. 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The format includes command descriptions, parameters, examples, and execution patterns, allowing LLM-based agents to reason about available tools and construct appropriate commands.","intents":["Enable AI agents to discover available OpenCLI commands","Provide structured command metadata for agent reasoning","Allow agents to construct and execute commands with proper parameters","Support agent planning by exposing tool capabilities and constraints"],"best_for":["AI agents using OpenCLI as a tool execution backend","Building agent frameworks that need to understand available tools","Integrating OpenCLI into larger AI automation systems"],"limitations":["AGENT.md format requires manual maintenance; outdated metadata breaks agent execution","No automatic validation of AGENT.md against actual adapter capabilities","Complex command semantics may not be fully expressible in AGENT.md format","Agent reasoning quality depends on metadata quality and completeness"],"requires":["Valid AGENT.md file in adapter directory","Proper command metadata (description, parameters, examples)","AI agent framework that understands AGENT.md format"],"input_types":["AGENT.md file","Agent query/intent"],"output_types":["Command metadata","Execution instructions","Command results"],"categories":["planning-reasoning","tool-use-integration"],"confidence":0.5,"matches":0,"success_rate":0},{"id":"github-jackwener--opencli__cap_2","uri":"capability://code.generation.editing.typescript.runtime.adapter.development.with.browser.injection","name":"typescript runtime adapter development with browser injection","description":"Enables developers to write robust adapters in TypeScript that execute custom code within the browser context via CDP injection, allowing full access to DOM APIs, JavaScript execution, and complex state management. Adapters are compiled and executed as injected scripts within Chrome's runtime, providing programmatic control over browser interactions beyond what declarative YAML pipelines support.","intents":["Build adapters for JavaScript-heavy single-page applications requiring runtime code execution","Implement complex multi-step workflows with conditional logic and state management","Access browser APIs (localStorage, sessionStorage, WebSockets) directly from adapter code","Create adapters for sites with dynamic content loading or client-side rendering"],"best_for":["Advanced developers building CLI wrappers for complex web applications","Teams needing full programmatic control over browser interactions","Adapters requiring stateful workflows or complex conditional logic"],"limitations":["Requires TypeScript/JavaScript expertise; steeper learning curve than YAML adapters","Injected code runs in browser context with limited access to Node.js APIs (no filesystem, limited networking)","Debugging injected code requires CDP debugger integration; standard Node debuggers don't work","Compilation and injection overhead adds ~200-500ms per command execution vs YAML pipelines"],"requires":["TypeScript 4.5+","Node.js 16+","Understanding of Chrome DevTools Protocol (CDP)","Familiarity with browser DOM APIs and JavaScript async patterns"],"input_types":["TypeScript source code","CLI arguments","Browser DOM state"],"output_types":["JSON","plain text","structured data","any serializable JavaScript object"],"categories":["code-generation-editing","tool-use-integration"],"confidence":0.5,"matches":0,"success_rate":0},{"id":"github-jackwener--opencli__cap_3","uri":"capability://planning.reasoning.5.tier.strategy.cascade.for.automatic.authentication.detection","name":"5-tier strategy cascade for automatic authentication detection","description":"Implements a hierarchical strategy system (src/cascade.ts) that automatically detects and applies appropriate authentication methods across different website types. The cascade evaluates strategies in order (cookie-based, token-based, OAuth, form-based, custom) and selects the first applicable method based on site characteristics, enabling adapters to work with authenticated sessions without explicit credential configuration.","intents":["Automatically detect the authentication method used by a website","Apply appropriate authentication strategy without manual configuration","Support multiple authentication patterns (cookies, tokens, OAuth, form submission) with single adapter","Enable AI agents to discover and authenticate with new websites without human intervention"],"best_for":["AI agents auto-discovering and adapting to new websites","Building universal CLI wrappers that work across multiple authentication patterns","Reducing manual adapter configuration for authenticated websites"],"limitations":["Strategy detection relies on heuristics and may fail for non-standard authentication patterns","Custom authentication schemes (proprietary tokens, multi-factor flows) require manual strategy definition","No support for certificate-based or hardware token authentication","Strategy cascade evaluation adds ~100-300ms overhead per command execution"],"requires":["Active browser session with authentication already established","Website using one of the five supported authentication tiers","OpenCLI daemon with access to browser session"],"input_types":["Website URL","Adapter configuration"],"output_types":["Authentication strategy identifier","Session validation status"],"categories":["planning-reasoning","automation-workflow"],"confidence":0.5,"matches":0,"success_rate":0},{"id":"github-jackwener--opencli__cap_4","uri":"capability://code.generation.editing.ai.powered.one.shot.adapter.generation.via.autoresearch.engine","name":"ai-powered one-shot adapter generation via autoresearch engine","description":"Generates YAML or TypeScript adapters automatically from website URLs using an AI-driven AutoResearch engine that explores site structure, identifies API endpoints, and synthesizes adapter definitions. The engine combines deep exploration (API discovery), strategy cascade (authentication detection), and synthesis (YAML generation) to create working adapters from minimal user input, enabling rapid CLI wrapper creation without manual adapter writing.","intents":["Generate a working CLI adapter from a website URL without manual coding","Automatically discover API endpoints and data extraction patterns","Create adapters for new websites in seconds instead of hours","Enable non-technical users to extend OpenCLI with new tools"],"best_for":["Rapid prototyping of CLI wrappers for new websites","AI agents auto-discovering and adapting to new tools","Non-technical users wanting to extend OpenCLI without coding"],"limitations":["Generated adapters may require manual refinement for complex sites or edge cases","AutoResearch relies on heuristics and may miss non-obvious API endpoints","Generation quality depends on website structure clarity; poorly structured sites produce lower-quality adapters","No support for sites requiring complex multi-step workflows or stateful interactions","Generation process requires active browser session and may take 30-60 seconds per website"],"requires":["Valid website URL","Active browser session with potential authentication","OpenCLI daemon running with AutoResearch engine enabled","LLM API access (for synthesis step)"],"input_types":["Website URL","Optional: target command description"],"output_types":["YAML adapter definition","TypeScript adapter template","Adapter metadata (commands, parameters, outputs)"],"categories":["code-generation-editing","planning-reasoning"],"confidence":0.5,"matches":0,"success_rate":0},{"id":"github-jackwener--opencli__cap_5","uri":"capability://tool.use.integration.unified.cli.command.registry.with.79.built.in.adapters","name":"unified cli command registry with 79+ built-in adapters","description":"Maintains a centralized registry (src/registry.ts) of 79+ pre-built adapters covering hundreds of commands across global platforms (Bilibili, Zhihu, Twitter/X, Reddit, etc.). The registry provides a unified interface to discover, list, and execute commands from diverse sources, abstracting away differences in underlying authentication, API patterns, and output formats into a consistent CLI experience.","intents":["Discover available CLI commands across multiple platforms from a single interface","Execute commands from popular websites without learning platform-specific APIs","Extend the command registry with custom adapters","List available commands and their parameters for a given platform"],"best_for":["Users wanting quick CLI access to popular web services without learning APIs","AI agents discovering available tools and capabilities","Teams building internal CLI hubs for multiple platforms"],"limitations":["Built-in adapters cover only popular platforms; niche websites require custom adapters","Adapter maintenance burden grows with registry size; outdated adapters may break when websites change","No automatic adapter versioning or rollback; breaking changes affect all users","Registry lookup adds ~50-100ms overhead per command execution"],"requires":["OpenCLI installed","Appropriate browser sessions authenticated for desired platforms"],"input_types":["Platform/adapter name","Command name","Command parameters"],"output_types":["Command list (JSON, table, or text)","Command metadata (parameters, description, examples)","Command execution results"],"categories":["tool-use-integration","search-retrieval"],"confidence":0.5,"matches":0,"success_rate":0},{"id":"github-jackwener--opencli__cap_6","uri":"capability://text.generation.language.template.expression.rendering.with.variable.interpolation.and.filters","name":"template expression rendering with variable interpolation and filters","description":"Implements a template engine (referenced in Architecture Deep Dive) that supports variable interpolation, conditional logic, and filter functions within YAML pipelines and adapter definitions. The engine evaluates expressions like `{{ variable | filter }}` at runtime, enabling dynamic data transformation and output formatting without requiring full programming language capabilities.","intents":["Format extracted data for display (e.g., date formatting, string truncation)","Conditionally include/exclude data based on extracted values","Transform data between steps in a pipeline (e.g., URL encoding, JSON serialization)","Generate dynamic command output based on template definitions"],"best_for":["YAML adapter developers needing simple data transformation","Formatting output for human-readable CLI display","Conditional logic in data extraction pipelines"],"limitations":["Template syntax limited to variable substitution and filters; no loops or complex control flow","Filter library is fixed; custom filters require TypeScript adapter implementation","No support for recursive templates or nested variable references","Expression evaluation adds ~10-50ms overhead per template render"],"requires":["Valid template expression syntax","Variables defined in pipeline context","Supported filter names from built-in filter library"],"input_types":["Template string with {{ }} expressions","Variable context (JSON object)","Filter parameters"],"output_types":["Rendered string","formatted data"],"categories":["text-generation-language","data-processing-analysis"],"confidence":0.5,"matches":0,"success_rate":0},{"id":"github-jackwener--opencli__cap_7","uri":"capability://text.generation.language.multi.format.output.rendering.with.json.table.and.text.modes","name":"multi-format output rendering with json, table, and text modes","description":"Supports multiple output formats (JSON, plain text, formatted tables) for command results, with automatic format selection based on context or explicit user specification. The output system (src/output.ts) handles serialization of complex data structures into human-readable or machine-parseable formats, enabling CLI results to integrate with downstream tools and scripts.","intents":["Display command results in human-readable format (tables, formatted text)","Export results as JSON for programmatic processing","Pipe results to other CLI tools using standard text formats","Format output for specific use cases (reports, logs, API responses)"],"best_for":["CLI users wanting human-readable output","AI agents processing structured JSON results","Scripts piping OpenCLI output to other tools"],"limitations":["Table formatting assumes structured data; irregular data structures may not render well","No custom output format support; limited to JSON, text, and table modes","Large result sets may produce unwieldy table output; JSON recommended for large datasets","Output formatting adds ~20-100ms overhead depending on result size and format"],"requires":["Command execution result","Output format specification (--json, --text, --table flags)"],"input_types":["Command execution result (any serializable data)","Format specification"],"output_types":["JSON string","plain text","formatted table (ASCII or Unicode)"],"categories":["text-generation-language","data-processing-analysis"],"confidence":0.5,"matches":0,"success_rate":0},{"id":"github-jackwener--opencli__cap_8","uri":"capability://automation.workflow.browser.daemon.with.chrome.devtools.protocol.integration","name":"browser daemon with chrome devtools protocol integration","description":"Implements a persistent micro-daemon that maintains CDP connections to Chrome instances, enabling long-lived browser sessions for command execution without spawning new browser processes per command. The daemon (referenced in Browser Integration Implementation) manages session lifecycle, handles CDP message routing, and provides a stable interface for adapter execution within browser contexts.","intents":["Maintain persistent browser sessions across multiple CLI commands","Avoid browser startup overhead for rapid command execution","Manage multiple concurrent browser sessions for parallel command execution","Provide stable CDP connection for adapter code injection"],"best_for":["High-frequency CLI usage requiring fast command execution","Parallel execution of multiple commands across different browser sessions","Long-running workflows requiring persistent browser state"],"limitations":["Daemon requires continuous memory allocation; each session consumes ~50-100MB RAM","CDP connections are fragile; network interruptions or Chrome crashes require reconnection logic","No built-in session persistence; daemon restart loses all active sessions","Debugging daemon issues requires CDP protocol knowledge and specialized tools"],"requires":["Chrome/Chromium 90+ with CDP enabled","Node.js 16+","Network connectivity between daemon and Chrome instance"],"input_types":["CDP connection parameters (host, port)","Adapter code for injection"],"output_types":["CDP message responses","Injected script results"],"categories":["automation-workflow","tool-use-integration"],"confidence":0.5,"matches":0,"success_rate":0},{"id":"github-jackwener--opencli__cap_9","uri":"capability://search.retrieval.adapter.discovery.and.metadata.introspection","name":"adapter discovery and metadata introspection","description":"Provides mechanisms to discover available adapters, list their commands, and inspect command parameters and descriptions without executing them. The discovery system enables users and AI agents to understand what tools are available, what commands they support, and what parameters are required before execution, supporting both interactive exploration and programmatic tool discovery.","intents":["List all available adapters and their commands","Inspect command parameters, types, and descriptions","Discover available tools for a given task without reading documentation","Enable AI agents to understand available capabilities before planning actions"],"best_for":["Interactive CLI users exploring available commands","AI agents discovering available tools for task planning","Building help systems and command documentation"],"limitations":["Metadata accuracy depends on adapter documentation; poorly documented adapters provide limited insight","Discovery doesn't validate whether commands will work in current environment (e.g., missing authentication)","No support for dynamic command generation; only pre-defined commands are discoverable","Discovery queries add ~50-200ms overhead depending on registry size"],"requires":["OpenCLI installed with adapters loaded","Adapter metadata properly defined in adapter configuration"],"input_types":["Adapter name (optional)","Command name (optional)"],"output_types":["Adapter list (JSON or text)","Command list with parameters","Command metadata (description, examples, parameter types)"],"categories":["search-retrieval","planning-reasoning"],"confidence":0.5,"matches":0,"success_rate":0}],"trust":{"score":53,"verified":false,"data_access_risk":"high","permissions":["Chrome/Chromium 90+","Browser Bridge Chrome Extension installed and enabled","OpenCLI daemon running with CDP connection to Chrome","Node.js 16+","Valid YAML syntax","Understanding of pipeline step types (download, parse, filter, tap, intercept)","Basic knowledge of CSS selectors or XPath for DOM extraction","Valid YAML pipeline definition","Supported step types (download, parse, filter, tap, intercept)","Proper input/output type matching between steps"],"failure_modes":["Requires Chrome/Chromium browser with extension support; no headless-only execution","Session reuse depends on active browser authentication; expired sessions require manual re-login in browser","Daemon must maintain persistent connection to Chrome instance, adding memory overhead (~50-100MB per active session)","Cross-domain session sharing limited to same-origin policy; cannot reuse sessions across unrelated domains","YAML pipelines cannot handle complex JavaScript-heavy sites requiring runtime code execution","No built-in support for multi-page workflows or stateful interactions beyond sequential steps","Template expression syntax limited to basic variable substitution and filters; no full Turing-complete logic","Debugging YAML pipelines requires manual step inspection; no built-in debugger or breakpoint support","Pipeline steps execute sequentially; no parallel step execution","No built-in error handling or retry logic; failures halt pipeline execution","builder identity is not verified yet","no observed match outcomes yet"],"rank_breakdown":{"adoption":0.7240929147841443,"quality":0.5,"ecosystem":0.52,"match_graph":0.25,"freshness":0.75,"weights":{"adoption":0.25,"quality":0.25,"ecosystem":0.15,"match_graph":0.23,"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":"2026-05-03T13:57:04.027Z","last_commit":"2026-05-03T13:30:46Z"},"community":{"stars":18548,"forks":1825,"weekly_downloads":null,"model_downloads":null,"model_likes":null}},"distribution":{"claim_url":"https://unfragile.ai/submit?claim=jackwener--opencli","compare_url":"https://unfragile.ai/compare?artifact=jackwener--opencli"}},"signature":"AWtf9dceRR3YRNvk//VgohsoXR9lemkzoOXa3Bfe6KDJ7TN6ZMFrwFI1Hn424StbWNU/mAdGepcGufngk/9+AQ==","signedAt":"2026-06-21T08:47:58.454Z","signedBy":"unfragile.ai","version":1},"_links":{"self":"https://unfragile.ai/api/v1/passport/jackwener--opencli","artifact":"https://unfragile.ai/jackwener--opencli","verify":"https://unfragile.ai/api/v1/verify?slug=jackwener--opencli","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"}}