{"passport":{"unfragile":{"@version":"1.0","version":"2026-05","artifact":{"id":"ai-shell","slug":"ai-shell","name":"AI Shell","type":"cli","url":"https://github.com/BuilderIO/ai-shell","page_url":"https://unfragile.ai/ai-shell","categories":["cli-tools"],"tags":[],"pricing":{"model":"free","free":true,"starting_price":null},"status":"active","verified":false},"capabilities":[{"id":"ai-shell__cap_0","uri":"capability://code.generation.editing.natural.language.to.shell.command.translation","name":"natural-language-to-shell-command-translation","description":"Converts plain English descriptions into executable shell commands by streaming OpenAI API responses and parsing structured command output. The system accepts natural language prompts, formats them with system context about the user's shell environment, sends them to OpenAI's language models via streaming API, and extracts the generated command from the response stream. This eliminates the need for users to recall complex command syntax or flags.","intents":["I want to describe what I need to do in plain English and get the right shell command","I need to generate a complex command without remembering all the flags and options","I want to convert a task description into a one-liner shell command"],"best_for":["DevOps engineers and system administrators who work with unfamiliar command-line tools","Developers who want to avoid context-switching to documentation","Teams automating shell command generation in scripts"],"limitations":["Depends entirely on OpenAI API availability and rate limits — no offline fallback","Generated commands are not validated against actual shell syntax before execution","Cannot generate commands for shell-specific features not in OpenAI's training data","Streaming response processing adds latency compared to batch API calls"],"requires":["OpenAI API key (OPENAI_API_KEY environment variable)","Node.js 14+ runtime","Network connectivity to OpenAI API endpoints","Bash, Zsh, or compatible POSIX shell"],"input_types":["text (natural language prompt)"],"output_types":["text (shell command string)","text (explanation of command)"],"categories":["code-generation-editing","cli-automation"],"confidence":0.5,"matches":0,"success_rate":0},{"id":"ai-shell__cap_1","uri":"capability://automation.workflow.interactive.command.review.and.execution","name":"interactive-command-review-and-execution","description":"Provides a user-facing workflow where generated commands are displayed with explanations before execution, allowing users to review, edit, or reject commands via interactive prompts. The CLI uses cleye library for command routing and presents generated commands with a confirmation step, enabling users to modify commands in-place or request regeneration before they execute in the actual shell.","intents":["I want to see what command will be executed before it runs","I need to edit the generated command slightly before running it","I want an explanation of what the command does before I execute it"],"best_for":["Users new to command-line tools who want safety guardrails","Teams with security policies requiring command review before execution","Developers debugging why a generated command might not work"],"limitations":["Interactive mode requires terminal TTY — cannot be used in non-interactive scripts or CI/CD pipelines without --silent flag","User edits are not validated or re-explained after modification","No undo capability if user accidentally executes a dangerous command","Explanation generation adds extra API call overhead per command"],"requires":["Interactive terminal (TTY) for prompt display","OpenAI API key for explanation generation","Node.js 14+ with readline support"],"input_types":["text (user confirmation/rejection input)"],"output_types":["text (command explanation)","text (confirmation prompt)","shell execution result"],"categories":["automation-workflow","safety-moderation"],"confidence":0.5,"matches":0,"success_rate":0},{"id":"ai-shell__cap_10","uri":"capability://automation.workflow.command.line.argument.parsing.with.cleye","name":"command-line-argument-parsing-with-cleye","description":"Uses the cleye library to parse command-line arguments and route user input to appropriate command handlers (ai, ai chat, ai config, ai update). The cleye library provides a declarative command structure that maps CLI arguments to handler functions, managing flag parsing, help text generation, and command routing. This enables the tool to support multiple commands and subcommands with consistent argument handling.","intents":["I want to use different AI Shell commands (ai, ai chat, ai config) with consistent syntax","I need to pass flags like --silent to modify command behavior","I want to see help text for available commands and options"],"best_for":["CLI tool developers building multi-command interfaces","Teams standardizing on cleye for argument parsing","Users who prefer declarative command structures"],"limitations":["Cleye is a third-party dependency — adds external dependency to the project","Limited customization of help text formatting compared to manual parsing","Flag parsing is strict — typos in flags cause errors rather than warnings","No built-in support for command aliases or abbreviations"],"requires":["cleye library installed (npm dependency)","Node.js 14+ with module support"],"input_types":["text (command-line arguments)"],"output_types":["text (help text, error messages)","function calls (routed to command handlers)"],"categories":["automation-workflow","tool-use-integration"],"confidence":0.5,"matches":0,"success_rate":0},{"id":"ai-shell__cap_11","uri":"capability://automation.workflow.update.command.for.tool.self.upgrade","name":"update-command-for-tool-self-upgrade","description":"Provides an ai update command that checks for newer versions of AI Shell and upgrades the tool to the latest version from npm. The update mechanism uses npm's package management system to detect and install newer versions, allowing users to keep the tool current without manual reinstallation. This is implemented as a dedicated command handler that invokes npm update or equivalent.","intents":["I want to upgrade AI Shell to the latest version","I need to check if there's a newer version available","I want to stay current with bug fixes and new features"],"best_for":["Users who installed AI Shell via npm globally","Teams that want to keep tools current automatically","Developers who want to avoid manual version management"],"limitations":["Update command only works if AI Shell was installed via npm — not for git clones or other installation methods","No automatic update checking — users must manually run ai update","Update may fail if npm is not in PATH or npm registry is unreachable","No rollback capability if update introduces breaking changes"],"requires":["npm installed and in PATH","Network connectivity to npm registry","AI Shell installed via npm (npm install -g ai-shell)"],"input_types":["text (ai update command)"],"output_types":["text (update status messages)","file (updated AI Shell binary)"],"categories":["automation-workflow","tool-use-integration"],"confidence":0.5,"matches":0,"success_rate":0},{"id":"ai-shell__cap_2","uri":"capability://data.processing.analysis.streaming.response.processing.with.real.time.display","name":"streaming-response-processing-with-real-time-display","description":"Processes OpenAI API streaming responses in real-time using a stream-to-string helper utility that accumulates chunks and displays them incrementally to the terminal. The implementation reads from the streaming response body, buffers chunks, and outputs them as they arrive, providing immediate visual feedback rather than waiting for the complete API response. This is handled through Node.js stream APIs and custom buffering logic.","intents":["I want to see the command being generated in real-time instead of waiting for the full response","I need faster perceived latency when generating commands","I want to cancel a command generation if I see it's going in the wrong direction"],"best_for":["Interactive CLI users who value responsiveness and visual feedback","Developers building streaming-aware CLI tools","Users on slow network connections who benefit from progressive display"],"limitations":["Streaming adds complexity to error handling — partial responses may be displayed before API errors occur","Cannot re-process or edit streamed content after it's displayed","Requires buffering entire response in memory before parsing — no true streaming parse","Terminal rendering of streaming text can be slow on some systems"],"requires":["Node.js 14+ with stream module support","OpenAI API with streaming enabled (stream: true parameter)","Terminal with support for ANSI escape codes"],"input_types":["binary stream (OpenAI API response stream)"],"output_types":["text (streamed to stdout in real-time)"],"categories":["data-processing-analysis","automation-workflow"],"confidence":0.5,"matches":0,"success_rate":0},{"id":"ai-shell__cap_3","uri":"capability://text.generation.language.multi.language.interface.localization","name":"multi-language-interface-localization","description":"Provides user interface text in 14+ languages (English, Chinese, Spanish, Japanese, Korean, French, German, Russian, Ukrainian, Vietnamese, Arabic, Portuguese, Turkish, Indonesian) through a configuration-driven internationalization system. The system maps language codes to localized strings for prompts, explanations, and error messages, allowing users to configure their preferred language via the config command and have all CLI output rendered in that language.","intents":["I want to use AI Shell in my native language, not English","I need to configure the CLI to display prompts and confirmations in a specific language","I want to contribute translations for a new language"],"best_for":["International teams using AI Shell across multiple regions","Non-English speakers who prefer native language interfaces","Organizations with multilingual developer teams"],"limitations":["Generated shell commands are always in English (OpenAI API limitation) — only the CLI interface is localized","Command explanations from OpenAI are in English regardless of interface language setting","Adding new languages requires code changes and recompilation — no runtime language pack loading","Limited to 14 languages — not all languages are supported"],"requires":["Configuration file with language setting (stored in ~/.ai-shell/config.json or equivalent)","Language code matching one of the 14 supported languages"],"input_types":["text (language configuration code)"],"output_types":["text (localized CLI prompts and messages)"],"categories":["text-generation-language","automation-workflow"],"confidence":0.5,"matches":0,"success_rate":0},{"id":"ai-shell__cap_4","uri":"capability://automation.workflow.persistent.configuration.management","name":"persistent-configuration-management","description":"Manages user preferences (API key, language, model selection, custom settings) through a persistent configuration file system using the config command. Configuration is stored in a user-accessible location (typically ~/.ai-shell/config.json) and loaded on each invocation, allowing users to set preferences once and have them apply across all future commands without re-entering them.","intents":["I want to store my OpenAI API key so I don't have to provide it every time","I need to change my preferred language or model for all future commands","I want to see what configuration is currently set"],"best_for":["Individual developers who want to avoid repetitive configuration","Teams standardizing on specific OpenAI models or settings","Users managing multiple API keys or accounts"],"limitations":["Configuration file stored in plaintext — API keys are not encrypted, creating security risk if home directory is compromised","No built-in configuration validation — invalid settings may cause silent failures","Configuration is per-user, not per-project — cannot have project-specific settings","No configuration versioning or rollback capability"],"requires":["Writable home directory (~/ or equivalent)","File system access to create ~/.ai-shell/ directory","JSON parsing support (built into Node.js)"],"input_types":["text (configuration key-value pairs)"],"output_types":["text (current configuration display)","file (JSON configuration file)"],"categories":["automation-workflow","memory-knowledge"],"confidence":0.5,"matches":0,"success_rate":0},{"id":"ai-shell__cap_5","uri":"capability://automation.workflow.silent.mode.command.generation","name":"silent-mode-command-generation","description":"Provides a --silent or -s flag that skips explanation generation and user confirmation, outputting only the generated shell command directly to stdout. This mode bypasses the interactive workflow entirely, making the tool suitable for scripting and automation scenarios where the command output can be piped directly to a shell or captured for further processing.","intents":["I want to pipe the generated command directly to bash without confirmation","I need to use AI Shell in a non-interactive script or CI/CD pipeline","I want to generate commands programmatically without user interaction"],"best_for":["DevOps engineers building automated workflows","CI/CD pipelines that need to generate commands dynamically","Scripts that chain AI Shell output to other commands"],"limitations":["No explanation provided — users cannot verify command correctness before execution","No confirmation step — dangerous commands execute immediately without review","Silent mode still requires OpenAI API call — cannot be used offline","Error messages may be suppressed, making debugging difficult"],"requires":["--silent or -s flag passed to ai command","OpenAI API key configured","Shell that can receive piped input"],"input_types":["text (natural language prompt with --silent flag)"],"output_types":["text (shell command only, no explanation)"],"categories":["automation-workflow","code-generation-editing"],"confidence":0.5,"matches":0,"success_rate":0},{"id":"ai-shell__cap_6","uri":"capability://text.generation.language.chat.mode.conversational.interface","name":"chat-mode-conversational-interface","description":"Provides an interactive chat mode (ai chat command) that maintains conversation context across multiple turns, allowing users to refine command generation through back-and-forth dialogue. The chat mode uses the same OpenAI API integration but maintains conversation history, allowing users to ask follow-up questions, request modifications, or explore alternative commands without restarting the conversation.","intents":["I want to have a conversation with AI to refine the command I need","I need to ask follow-up questions about generated commands","I want to explore alternative approaches to accomplish a task"],"best_for":["Users learning shell commands who benefit from interactive explanation","Complex tasks that require iterative refinement","Teams exploring multiple command options before committing"],"limitations":["Chat history is not persisted between sessions — each new chat starts fresh","No context about the user's actual shell environment or file system","Each turn requires a separate OpenAI API call, increasing latency and cost","Chat mode does not execute commands — it only generates and discusses them"],"requires":["ai chat command invocation","OpenAI API key configured","Interactive terminal for multi-turn conversation"],"input_types":["text (natural language prompts in conversation)"],"output_types":["text (conversational responses with command suggestions)"],"categories":["text-generation-language","planning-reasoning"],"confidence":0.5,"matches":0,"success_rate":0},{"id":"ai-shell__cap_7","uri":"capability://text.generation.language.command.explanation.generation","name":"command-explanation-generation","description":"Generates human-readable explanations of what generated shell commands do by making a separate OpenAI API call that breaks down command components, flags, and their effects. The explanation is displayed alongside the command before execution, helping users understand the command's behavior and verify it matches their intent. Explanations are generated using the same OpenAI API but with a different prompt focused on clarity rather than command generation.","intents":["I want to understand what the generated command does before I run it","I need to verify that the command matches what I asked for","I want to learn what each flag and option in the command does"],"best_for":["Users new to shell commands who want to learn","Teams with security policies requiring command verification","Developers debugging why a command might not work as expected"],"limitations":["Explanation generation adds an extra API call, doubling latency and cost per command","Explanations are generated by LLM and may be inaccurate or incomplete","Cannot be disabled without using --silent mode (which also skips confirmation)","Explanations are in English regardless of interface language setting"],"requires":["OpenAI API key configured","Network connectivity for second API call","Interactive mode (not --silent)"],"input_types":["text (generated shell command)"],"output_types":["text (natural language explanation)"],"categories":["text-generation-language","safety-moderation"],"confidence":0.5,"matches":0,"success_rate":0},{"id":"ai-shell__cap_8","uri":"capability://tool.use.integration.openai.api.integration.with.model.selection","name":"openai-api-integration-with-model-selection","description":"Integrates with OpenAI's API using the official Node.js SDK, supporting configurable model selection (GPT-4, GPT-3.5-turbo, etc.) and streaming responses. The integration handles API authentication via OPENAI_API_KEY environment variable or configuration file, manages request formatting with system prompts that provide shell context, and processes streaming responses in real-time. Users can configure which OpenAI model to use via the config command.","intents":["I want to use a specific OpenAI model (GPT-4 vs GPT-3.5) for command generation","I need to authenticate with my OpenAI API key","I want to customize the system prompt or model parameters"],"best_for":["Teams with OpenAI API access and budget for API calls","Users who want to experiment with different models","Organizations that need to control which OpenAI model is used"],"limitations":["Requires paid OpenAI API account — no free tier support","API costs scale with usage — each command generation costs money","Model selection is global — cannot use different models for different commands","No support for other LLM providers (Anthropic, local models, etc.) — OpenAI only"],"requires":["OpenAI API key (OPENAI_API_KEY environment variable or config file)","Active OpenAI account with API access enabled","Network connectivity to api.openai.com","Node.js 14+ with https support"],"input_types":["text (natural language prompt)"],"output_types":["text (generated command from OpenAI API)"],"categories":["tool-use-integration","code-generation-editing"],"confidence":0.5,"matches":0,"success_rate":0},{"id":"ai-shell__cap_9","uri":"capability://automation.workflow.shell.environment.context.injection","name":"shell-environment-context-injection","description":"Injects information about the user's shell environment (shell type, OS, current directory context) into the system prompt sent to OpenAI, enabling the model to generate OS-specific and shell-specific commands. The system detects the user's shell (bash, zsh, fish, etc.) and operating system, then includes this context in the prompt so generated commands are appropriate for the user's actual environment rather than generic.","intents":["I want commands generated for my specific shell (bash vs zsh vs fish)","I need OS-specific commands (Linux vs macOS vs Windows)","I want the AI to understand my environment context when generating commands"],"best_for":["Teams with heterogeneous shell environments (mixed bash/zsh/fish)","Cross-platform teams (Linux, macOS, Windows)","Users who need OS-specific command variants"],"limitations":["Shell detection relies on environment variables — may be inaccurate in non-standard setups","Context injection increases prompt size, adding latency and cost","No support for detecting shell version or specific features — only shell type","Cannot detect custom shell aliases or functions that might affect command execution"],"requires":["SHELL environment variable set correctly","OS detection via Node.js process.platform","OpenAI API with sufficient context window"],"input_types":["environment variables (SHELL, PATH, etc.)"],"output_types":["text (context-aware shell commands)"],"categories":["automation-workflow","code-generation-editing"],"confidence":0.5,"matches":0,"success_rate":0},{"id":"ai-shell__headline","uri":"capability://tool.use.integration.natural.language.to.shell.command.converter","name":"natural language to shell command converter","description":"AI Shell is a command-line tool that translates natural language descriptions into executable shell commands, making it easier for users to perform tasks without needing to remember complex syntax.","intents":["best natural language command line tool","CLI for converting text to shell commands","natural language interface for shell commands","AI tool for command line execution","convert plain language to terminal commands"],"best_for":["users unfamiliar with command line syntax","those who prefer natural language input"],"limitations":["may not cover all shell commands","dependent on language model accuracy"],"requires":["internet connection for API access"],"input_types":["natural language text"],"output_types":["shell commands"],"categories":["tool-use-integration"],"confidence":0.5,"matches":0,"success_rate":0}],"trust":{"score":57,"verified":false,"data_access_risk":"high","permissions":["OpenAI API key (OPENAI_API_KEY environment variable)","Node.js 14+ runtime","Network connectivity to OpenAI API endpoints","Bash, Zsh, or compatible POSIX shell","Interactive terminal (TTY) for prompt display","OpenAI API key for explanation generation","Node.js 14+ with readline support","cleye library installed (npm dependency)","Node.js 14+ with module support","npm installed and in PATH"],"failure_modes":["Depends entirely on OpenAI API availability and rate limits — no offline fallback","Generated commands are not validated against actual shell syntax before execution","Cannot generate commands for shell-specific features not in OpenAI's training data","Streaming response processing adds latency compared to batch API calls","Interactive mode requires terminal TTY — cannot be used in non-interactive scripts or CI/CD pipelines without --silent flag","User edits are not validated or re-explained after modification","No undo capability if user accidentally executes a dangerous command","Explanation generation adds extra API call overhead per command","Cleye is a third-party dependency — adds external dependency to the project","Limited customization of help text formatting compared to manual parsing","builder identity is not verified yet","no observed match outcomes yet"],"rank_breakdown":{"adoption":0.7,"quality":0.9,"ecosystem":0.39999999999999997,"match_graph":0.25,"freshness":0.52,"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":"2026-06-17T09:51:02.370Z","last_scraped_at":null,"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=ai-shell","compare_url":"https://unfragile.ai/compare?artifact=ai-shell"}},"signature":"tBaL7RZIhzdy9kDOmzx3F5e+bkkpIc+Rk5z5TwRJo2wAMaPIY3gwJJFIeYIooo/Ptc8EZfAabEgpZQP6upoCBw==","signedAt":"2026-06-21T00:40:19.207Z","signedBy":"unfragile.ai","version":1},"_links":{"self":"https://unfragile.ai/api/v1/passport/ai-shell","artifact":"https://unfragile.ai/ai-shell","verify":"https://unfragile.ai/api/v1/verify?slug=ai-shell","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"}}