{"passport":{"unfragile":{"@version":"1.0","version":"2026-05","artifact":{"id":"npm-shennian","slug":"shennian","name":"shennian","type":"cli","url":"https://github.com/CosmosShadow/shennian_cli#readme","page_url":"https://unfragile.ai/shennian","categories":["cli-tools"],"tags":["shennian","ai","agent","cli","mobile","console"],"pricing":{"model":"open_source","free":true,"starting_price":null},"status":"active","verified":false},"capabilities":[{"id":"npm-shennian__cap_0","uri":"capability://automation.workflow.interactive.cli.agent.orchestration","name":"interactive-cli-agent-orchestration","description":"Provides a mobile-optimized command-line interface for orchestrating AI agent workflows with real-time interaction and state management. The CLI accepts user commands, routes them through an agent execution pipeline, and maintains session context across multiple turns of interaction. Built as a Node.js-based console application that bridges user input to underlying agent logic with minimal latency.","intents":["Run AI agents directly from the terminal without web UI overhead","Chain multiple agent operations in a single session with persistent context","Debug agent behavior by inspecting real-time command execution and responses","Automate repetitive agent tasks via CLI scripting and piping"],"best_for":["DevOps engineers automating AI-powered infrastructure tasks","Solo developers prototyping AI agent workflows locally","Teams building CLI-first AI applications without frontend dependencies"],"limitations":["No built-in persistence layer — agent state is ephemeral unless explicitly serialized","Mobile console optimization may limit complex multi-panel UI interactions","Single-threaded execution model may bottleneck concurrent agent operations","Limited to terminal-based I/O — no native support for binary or streaming media responses"],"requires":["Node.js 14+ (npm package registry distribution)","Terminal/shell environment with TTY support","Agent backend service or local agent runtime (implementation-dependent)"],"input_types":["text commands","structured CLI arguments","piped stdin data"],"output_types":["text responses","structured JSON output","formatted console tables"],"categories":["automation-workflow","tool-use-integration"],"confidence":0.5,"matches":0,"success_rate":0},{"id":"npm-shennian__cap_1","uri":"capability://tool.use.integration.agent.command.parsing.and.routing","name":"agent-command-parsing-and-routing","description":"Implements a command parser that tokenizes user input, validates against a registered command schema, and routes execution to appropriate agent handlers. The system likely uses a lexer-based approach or regex pattern matching to extract command intent and parameters, then dispatches to handler functions with type-checked arguments. Supports both simple single-word commands and complex multi-argument operations with optional flags.","intents":["Parse natural language or structured commands into executable agent operations","Validate user input against expected command schemas before execution","Route commands to the correct agent handler with parameter binding","Support command aliases and shorthand syntax for common operations"],"best_for":["CLI tool developers building command-driven interfaces","Agent framework maintainers standardizing command protocols","Teams implementing consistent command syntax across multiple agent types"],"limitations":["No built-in natural language understanding — requires explicit command syntax","Command schema validation adds ~50-100ms overhead per parse operation","Limited support for complex nested subcommands without custom handler implementation","No automatic help text generation from schema (requires manual documentation)"],"requires":["Node.js 14+","Command schema definition (JSON or TypeScript interface)","Handler function registry"],"input_types":["text command strings","CLI argument arrays","structured command objects"],"output_types":["routed handler function reference","parsed parameters object","validation error messages"],"categories":["tool-use-integration","planning-reasoning"],"confidence":0.5,"matches":0,"success_rate":0},{"id":"npm-shennian__cap_2","uri":"capability://memory.knowledge.session.context.management","name":"session-context-management","description":"Maintains user session state across multiple CLI interactions, preserving agent execution history, variable bindings, and conversation context. The implementation likely uses an in-memory session store or file-based persistence layer that tracks command history, agent responses, and user-defined variables. Enables multi-turn agent interactions where later commands can reference results from previous operations.","intents":["Maintain conversation history across multiple CLI commands in a single session","Reference previous agent outputs in subsequent commands without re-execution","Store and retrieve user-defined variables or configuration within a session","Implement session timeouts and cleanup for resource management"],"best_for":["Interactive agent workflows requiring multi-turn conversations","Developers debugging agent behavior across multiple command invocations","Teams building stateful CLI applications with agent backends"],"limitations":["In-memory storage limits session size to available RAM — no automatic overflow to disk","No built-in encryption for sensitive data stored in session context","Session isolation is process-level only — concurrent CLI instances don't share state","No automatic session recovery on process crash or unexpected termination"],"requires":["Node.js 14+","Session storage backend (in-memory or file-based)","Unique session identifier mechanism"],"input_types":["command execution results","user variable assignments","agent responses"],"output_types":["session state object","command history array","variable lookup results"],"categories":["memory-knowledge","automation-workflow"],"confidence":0.5,"matches":0,"success_rate":0},{"id":"npm-shennian__cap_3","uri":"capability://automation.workflow.agent.execution.with.error.handling","name":"agent-execution-with-error-handling","description":"Executes agent operations with comprehensive error handling, timeout management, and graceful degradation. The system wraps agent handler invocations in try-catch blocks, implements configurable timeout thresholds, and provides structured error reporting with stack traces and context information. Failed operations can trigger fallback handlers or retry logic based on error classification.","intents":["Execute agent operations safely without CLI crashes from unhandled exceptions","Detect and report agent timeouts with clear user messaging","Implement retry logic for transient failures (network, rate limits)","Provide detailed error context for debugging agent failures"],"best_for":["Production CLI deployments requiring reliability and observability","Teams building agent systems with external API dependencies","Developers needing detailed error diagnostics for agent debugging"],"limitations":["Timeout detection adds ~10-20ms overhead per execution","Retry logic requires manual configuration per command type","No automatic error classification — requires explicit error type mapping","Stack traces may be verbose in deeply nested agent call chains"],"requires":["Node.js 14+","Error handler registry","Timeout configuration per command or global default"],"input_types":["agent handler function","handler parameters","timeout threshold (milliseconds)"],"output_types":["execution result or error object","formatted error message","retry decision flag"],"categories":["automation-workflow","safety-moderation"],"confidence":0.5,"matches":0,"success_rate":0},{"id":"npm-shennian__cap_4","uri":"capability://automation.workflow.mobile.optimized.terminal.rendering","name":"mobile-optimized-terminal-rendering","description":"Renders agent responses and CLI output in a mobile-friendly format with responsive text wrapping, touch-friendly spacing, and reduced visual complexity. The implementation likely uses ANSI color codes and terminal width detection to adapt output to small screens, avoiding horizontal scrolling and multi-column layouts that are difficult on mobile terminals. Supports both plain text and formatted output modes.","intents":["Display agent responses clearly on small mobile terminal screens","Adapt CLI output width to terminal dimensions automatically","Provide touch-friendly interactive prompts and menu selections","Reduce visual clutter for better readability on mobile devices"],"best_for":["Mobile developers using SSH or terminal emulators on phones/tablets","Teams deploying agents to resource-constrained edge devices","Developers working in environments with limited screen real estate"],"limitations":["Complex multi-column data displays must be reformatted for single-column mobile layout","ANSI color support varies across mobile terminal emulators","Touch input handling requires terminal emulator support for mouse events","Large responses may require pagination or truncation on very small screens"],"requires":["Node.js 14+","Terminal emulator with ANSI escape sequence support","Mobile terminal client (SSH, Mosh, or similar)"],"input_types":["agent response text","structured data objects","formatting directives"],"output_types":["ANSI-formatted text","mobile-optimized terminal output","paginated response chunks"],"categories":["automation-workflow","text-generation-language"],"confidence":0.5,"matches":0,"success_rate":0},{"id":"npm-shennian__cap_5","uri":"capability://automation.workflow.npm.package.distribution.and.installation","name":"npm-package-distribution-and-installation","description":"Distributes the Shennian CLI as an npm package with standard Node.js package management, enabling one-command installation via `npm install -g shennian` or local project installation. The package includes dependency declarations, version management, and semantic versioning for compatibility tracking. Installation provides CLI entry points and shell command aliases for easy invocation.","intents":["Install Shennian CLI globally or per-project with npm","Manage Shennian versions and dependencies alongside other Node.js tools","Update Shennian to latest versions with standard npm upgrade workflows","Integrate Shennian into existing Node.js development environments"],"best_for":["Node.js developers already using npm for dependency management","Teams with existing npm-based toolchains","Open-source projects seeking easy community adoption"],"limitations":["Requires Node.js runtime — not suitable for pure shell script environments","npm package size impacts installation time and disk usage","Dependency conflicts possible with other npm packages in shared environments","Global installation may require sudo privileges on some systems"],"requires":["Node.js 14+ with npm 6+","npm registry access (npmjs.com or private registry)","Internet connectivity for package download"],"input_types":["npm install command","package.json dependency declaration"],"output_types":["installed CLI executable","node_modules directory with dependencies","shell command aliases"],"categories":["automation-workflow","tool-use-integration"],"confidence":0.5,"matches":0,"success_rate":0},{"id":"npm-shennian__cap_6","uri":"capability://tool.use.integration.agent.backend.integration.interface","name":"agent-backend-integration-interface","description":"Provides abstraction layer for connecting to various agent backend implementations, supporting multiple agent frameworks or custom agent services. The CLI likely defines a plugin or adapter interface that allows different agent backends (local, remote API, specific frameworks) to be swapped without changing CLI code. Communication may use HTTP, gRPC, or local process invocation depending on backend type.","intents":["Connect CLI to different agent backend implementations (local or remote)","Support multiple agent frameworks through a unified interface","Switch between agent backends without CLI code changes","Implement custom agent backends with minimal integration effort"],"best_for":["Framework-agnostic agent tool developers","Teams supporting multiple agent implementations","Developers building agent abstraction layers"],"limitations":["Backend abstraction adds latency overhead for each operation","Backend-specific features may not be accessible through generic interface","Configuration complexity increases with multiple supported backends","Error handling must account for backend-specific failure modes"],"requires":["Node.js 14+","Agent backend service or local runtime","Backend adapter/plugin implementation"],"input_types":["agent backend configuration","command execution requests","backend-specific parameters"],"output_types":["agent response data","backend status information","capability metadata"],"categories":["tool-use-integration","automation-workflow"],"confidence":0.5,"matches":0,"success_rate":0}],"trust":{"score":32,"verified":false,"data_access_risk":"moderate","permissions":["Node.js 14+ (npm package registry distribution)","Terminal/shell environment with TTY support","Agent backend service or local agent runtime (implementation-dependent)","Node.js 14+","Command schema definition (JSON or TypeScript interface)","Handler function registry","Session storage backend (in-memory or file-based)","Unique session identifier mechanism","Error handler registry","Timeout configuration per command or global default"],"failure_modes":["No built-in persistence layer — agent state is ephemeral unless explicitly serialized","Mobile console optimization may limit complex multi-panel UI interactions","Single-threaded execution model may bottleneck concurrent agent operations","Limited to terminal-based I/O — no native support for binary or streaming media responses","No built-in natural language understanding — requires explicit command syntax","Command schema validation adds ~50-100ms overhead per parse operation","Limited support for complex nested subcommands without custom handler implementation","No automatic help text generation from schema (requires manual documentation)","In-memory storage limits session size to available RAM — no automatic overflow to disk","No built-in encryption for sensitive data stored in session context","builder identity is not verified yet","no observed match outcomes yet"],"rank_breakdown":{"adoption":0.1776555910703262,"quality":0.24,"ecosystem":0.5800000000000001,"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":"2026-05-24T12:16:23.902Z","last_scraped_at":"2026-05-03T14:04:47.473Z","last_commit":null},"community":{"stars":null,"forks":null,"weekly_downloads":2989,"model_downloads":null,"model_likes":null}},"distribution":{"claim_url":"https://unfragile.ai/submit?claim=shennian","compare_url":"https://unfragile.ai/compare?artifact=shennian"}},"signature":"rPztnmXxsM7wtYTlqNN9ZOeV1jCDBYL6CITAPim9eQ3AXN4Ow/AkMBAsGo6SRCCJwhNQijZob26ZrmiOAgvrBA==","signedAt":"2026-06-20T11:45:04.593Z","signedBy":"unfragile.ai","version":1},"_links":{"self":"https://unfragile.ai/api/v1/passport/shennian","artifact":"https://unfragile.ai/shennian","verify":"https://unfragile.ai/api/v1/verify?slug=shennian","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"}}