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Implements connection lifecycle management with configurable timeouts, keepalive mechanisms, and credential caching. Supports both password and key-based authentication with transparent fallback and agent socket forwarding for nested SSH operations.","intents":["I need an agent to execute commands on remote servers via SSH while maintaining connection state","I want to use SSH agent forwarding to enable multi-hop authentication through jump hosts","I need efficient connection reuse across multiple remote operations to reduce authentication overhead"],"best_for":["Autonomous agents managing distributed infrastructure","CI/CD systems requiring stateful remote command execution","Teams automating complex multi-server deployment workflows"],"limitations":["SSH agent forwarding requires local SSH agent running — not available in containerized environments without socket mounting","Connection pooling adds memory overhead proportional to number of concurrent remote hosts","No built-in support for SSH tunneling or port forwarding — only direct command execution"],"requires":["SSH client binary installed on host system","SSH key or password credentials","Network connectivity to remote hosts","Python 3.7+"],"input_types":["SSH connection parameters (host, port, username)","authentication credentials (keys or passwords)","remote shell commands (strings)"],"output_types":["remote command stdout/stderr","exit codes","connection status indicators"],"categories":["automation-workflow","tool-use-integration"],"confidence":0.5,"matches":0,"success_rate":0},{"id":"awesome-piloty__cap_2","uri":"capability://automation.workflow.background.process.lifecycle.management","name":"background-process-lifecycle-management","description":"Manages background process execution within PTY sessions with explicit lifecycle tracking, signal handling, and process state monitoring. Implements background job spawning, status polling, output streaming, and graceful termination with configurable signal escalation (SIGTERM → SIGKILL). Maintains process metadata (PID, start time, exit status) and enables agents to query and control long-running operations.","intents":["I need to start long-running background processes and check their status without blocking the agent","I want to stream output from background processes while continuing other operations","I need to gracefully terminate background processes with timeout-based signal escalation"],"best_for":["Agents orchestrating multi-process workflows (e.g., starting services, running tests in parallel)","Automation systems requiring non-blocking process management","DevOps tools managing service lifecycle (start, monitor, stop)"],"limitations":["Background process state is session-local — no cross-session process tracking","Output buffering for background processes is limited by available memory — no disk-based spooling","Process signal handling depends on shell implementation — behavior varies across sh/bash/zsh"],"requires":["Unix-like OS with signal support","PTY session established","Python 3.7+"],"input_types":["shell commands (strings)","signal types (SIGTERM, SIGKILL, etc.)","timeout durations (seconds)"],"output_types":["process IDs (integers)","exit codes","process status (running/stopped/exited)","stdout/stderr streams"],"categories":["automation-workflow","planning-reasoning"],"confidence":0.5,"matches":0,"success_rate":0},{"id":"awesome-piloty__cap_3","uri":"capability://automation.workflow.interactive.command.execution.with.input.handling","name":"interactive-command-execution-with-input-handling","description":"Executes interactive terminal commands that require user input (stdin) with support for multi-step interactions, response buffering, and output pattern matching. Implements input/output synchronization to handle commands that prompt for input (e.g., password prompts, interactive menus). Supports sending input at runtime and capturing output between input events for response-driven automation.","intents":["I need to automate interactive commands that prompt for input (e.g., sudo password, git credentials)","I want to respond to terminal prompts dynamically based on previous output","I need to handle multi-step interactive workflows where each step depends on previous responses"],"best_for":["Agents automating privileged operations requiring password input","Automation systems handling interactive CLI tools (git, npm, terraform)","Teams building autonomous deployment systems with credential handling"],"limitations":["Input timing is critical — sending input before prompt appears causes buffering issues","No built-in output pattern matching — agents must implement custom prompt detection","Interactive commands with complex terminal control sequences (colors, cursor movement) may not be reliably captured"],"requires":["PTY session established","Interactive command available in shell","Python 3.7+"],"input_types":["shell commands (strings)","user input/responses (strings)","input timing parameters"],"output_types":["command output (text)","prompt detection results","exit codes"],"categories":["automation-workflow","planning-reasoning"],"confidence":0.5,"matches":0,"success_rate":0},{"id":"awesome-piloty__cap_4","uri":"capability://data.processing.analysis.output.capture.and.streaming","name":"output-capture-and-streaming","description":"Captures command output (stdout/stderr) with support for real-time streaming, line-buffered processing, and output filtering. Implements asynchronous output reading to prevent buffer deadlocks in long-running operations. Supports both blocking (wait for completion) and streaming (process output as it arrives) modes with configurable buffer sizes and line-ending handling.","intents":["I need to capture full output from commands while they execute without blocking the agent","I want to process command output line-by-line as it arrives for real-time monitoring","I need to handle large output streams without memory exhaustion"],"best_for":["Agents monitoring long-running operations (builds, deployments, tests)","Systems requiring real-time log aggregation from terminal commands","Automation tools processing command output for decision-making"],"limitations":["Unbuffered output streams can cause deadlocks if not read asynchronously — requires careful thread/async management","Large output streams (>1GB) may cause memory pressure — no built-in disk-based spooling","Line-ending handling varies across platforms (CRLF vs LF) — requires normalization"],"requires":["PTY session or subprocess with output redirection","Python 3.7+ with asyncio or threading support"],"input_types":["shell commands (strings)","buffer size parameters","output filter patterns (optional)"],"output_types":["stdout text stream","stderr text stream","exit codes","output line events"],"categories":["data-processing-analysis","automation-workflow"],"confidence":0.5,"matches":0,"success_rate":0},{"id":"awesome-piloty__cap_5","uri":"capability://automation.workflow.command.execution.with.timeout.and.cancellation","name":"command-execution-with-timeout-and-cancellation","description":"Executes commands with configurable timeouts and cancellation support, implementing signal-based termination with graceful degradation to force kill. Tracks execution time and enforces hard limits to prevent runaway processes. Supports both soft timeouts (SIGTERM) and hard timeouts (SIGKILL) with configurable escalation delays.","intents":["I need to execute commands with time limits to prevent agent hangs","I want to gracefully cancel long-running operations with timeout-based signal escalation","I need to enforce resource limits on command execution to prevent system overload"],"best_for":["Agents running untrusted or potentially infinite-loop commands","Automation systems with strict SLA requirements","CI/CD pipelines requiring timeout enforcement"],"limitations":["Timeout enforcement is process-level only — child processes may not receive signals","SIGKILL cannot be caught or handled — may leave zombie processes in some scenarios","Timeout granularity depends on system timer resolution — sub-millisecond precision not guaranteed"],"requires":["Unix-like OS with signal support","Python 3.7+","PTY session or subprocess"],"input_types":["shell commands (strings)","timeout duration (seconds/milliseconds)","signal escalation parameters"],"output_types":["command output (partial if timed out)","timeout status indicator","exit codes (including timeout signals)"],"categories":["automation-workflow","safety-moderation"],"confidence":0.5,"matches":0,"success_rate":0},{"id":"awesome-piloty__cap_6","uri":"capability://automation.workflow.environment.variable.and.context.management","name":"environment-variable-and-context-management","description":"Manages shell environment variables and execution context (working directory, shell type, locale) with inheritance and override capabilities. Implements context isolation for different execution scopes and supports dynamic environment modification within sessions. Tracks environment state changes across command executions and enables context snapshots for debugging.","intents":["I need to set environment variables for commands without affecting the global system state","I want to execute commands in specific working directories with inherited environment context","I need to manage different execution contexts (dev, staging, prod) with isolated environment variables"],"best_for":["Agents managing multi-environment deployments","Automation systems requiring environment isolation","Teams building configuration-driven deployment tools"],"limitations":["Environment changes are session-local — no cross-session environment sharing without explicit export","Working directory changes are shell-specific — behavior varies across sh/bash/zsh","No built-in environment variable validation — agents must implement custom validation"],"requires":["PTY session established","Python 3.7+"],"input_types":["environment variable maps (key-value pairs)","working directory paths","shell type identifiers"],"output_types":["environment state snapshots","context metadata","validation results"],"categories":["automation-workflow","data-processing-analysis"],"confidence":0.5,"matches":0,"success_rate":0},{"id":"awesome-piloty__cap_7","uri":"capability://automation.workflow.error.detection.and.exit.code.handling","name":"error-detection-and-exit-code-handling","description":"Captures and interprets command exit codes with structured error reporting and failure classification. Implements exit code semantics mapping (0=success, non-zero=failure) with support for custom error handlers. Distinguishes between different failure modes (timeout, signal termination, normal exit) and provides detailed error context for agent decision-making.","intents":["I need to detect command failures and classify error types for appropriate handling","I want to implement custom error handling based on exit codes and error patterns","I need detailed error context to make intelligent retry or fallback decisions"],"best_for":["Agents implementing robust error handling and retry logic","Automation systems requiring failure classification","Teams building resilient deployment and operations tools"],"limitations":["Exit code semantics are application-specific — no universal error code mapping","Signal-based termination (SIGTERM, SIGKILL) may not be distinguishable from normal exit in all shells","Stderr parsing for error detection is fragile — error message formats vary across tools"],"requires":["PTY session or subprocess","Python 3.7+"],"input_types":["shell commands (strings)","custom error handler functions (optional)"],"output_types":["exit codes (integers)","error classification (success/failure/timeout/signal)","error messages/context"],"categories":["automation-workflow","safety-moderation"],"confidence":0.5,"matches":0,"success_rate":0},{"id":"awesome-piloty__cap_8","uri":"capability://automation.workflow.shell.type.detection.and.compatibility","name":"shell-type-detection-and-compatibility","description":"Detects and adapts to different shell types (bash, zsh, sh, fish) with shell-specific command syntax and behavior handling. Implements shell capability detection and feature compatibility checks. Supports shell-specific features (job control, aliases, functions) with fallback to POSIX-compliant alternatives when needed.","intents":["I need to execute commands reliably across different shell environments","I want to use shell-specific features when available with graceful fallback","I need to detect shell capabilities and adapt command execution accordingly"],"best_for":["Agents operating across heterogeneous environments with different shells","Automation systems requiring cross-shell compatibility","Teams building portable deployment tools"],"limitations":["Shell detection requires executing shell commands — adds initialization overhead","Shell-specific features (aliases, functions) may not be available in all environments","POSIX fallback may not preserve all shell-specific behavior"],"requires":["Shell binary available on system","Python 3.7+"],"input_types":["shell type hints (optional)","shell commands (strings)"],"output_types":["detected shell type","shell capability flags","adapted command syntax"],"categories":["automation-workflow","tool-use-integration"],"confidence":0.5,"matches":0,"success_rate":0},{"id":"awesome-piloty__cap_9","uri":"capability://tool.use.integration.agent.api.for.terminal.control","name":"agent-api-for-terminal-control","description":"Exposes a high-level Python API for agents to control PTY sessions with methods for command execution, session management, and process control. Implements a clean abstraction layer over PTY operations with type hints and structured return values. Supports both synchronous and asynchronous execution patterns for integration with async agent frameworks.","intents":["I need a clean Python API to integrate terminal control into my agent framework","I want to execute terminal commands with structured return values for agent processing","I need async/await support for non-blocking terminal operations in my agent"],"best_for":["AI agent developers integrating terminal control capabilities","Teams building agent frameworks with tool integration","Developers creating autonomous system administration agents"],"limitations":["API design is Python-specific — no language bindings for other languages","Async support requires Python 3.7+ with asyncio — older Python versions limited to sync API","Type hints are optional — runtime type checking not enforced"],"requires":["Python 3.7+","asyncio library (for async operations)"],"input_types":["method calls with typed parameters","command strings","configuration dictionaries"],"output_types":["structured command results (CommandResult objects)","session handles","process metadata"],"categories":["tool-use-integration","automation-workflow"],"confidence":0.5,"matches":0,"success_rate":0}],"trust":{"score":31,"verified":false,"data_access_risk":"high","permissions":["Unix-like OS with PTY support (Linux, macOS)","Python 3.7+","Access to shell binary (bash, zsh, sh)","SSH client binary installed on host system","SSH key or password credentials","Network connectivity to remote hosts","Unix-like OS with signal support","PTY session established","Interactive command available in shell","PTY session or subprocess with output redirection"],"failure_modes":["PTY state is in-memory only — no built-in persistence across process restarts","Concurrent session management requires external synchronization — no native locking mechanism","Terminal size and capabilities are fixed at session initialization — dynamic resizing not supported","SSH agent forwarding requires local SSH agent running — not available in containerized environments without socket mounting","Connection pooling adds memory overhead proportional to number of concurrent remote hosts","No built-in support for SSH tunneling or port forwarding — only direct command execution","Background process state is session-local — no cross-session process tracking","Output buffering for background processes is limited by available memory — no disk-based spooling","Process signal handling depends on shell implementation — behavior varies across sh/bash/zsh","Input timing is critical — sending input before prompt appears causes buffering issues","builder identity is not verified yet","no observed match outcomes yet"],"rank_breakdown":{"adoption":0.05,"quality":0.45,"ecosystem":0.39999999999999997,"match_graph":0.25,"freshness":0.6,"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":"2026-06-17T09:51:04.047Z","last_scraped_at":"2026-05-03T14:00:15.503Z","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=piloty","compare_url":"https://unfragile.ai/compare?artifact=piloty"}},"signature":"b1hS6gdlirIuh0+7H3LcYicmByW4L6dVp/a5sUQaCQCKyY3FYuEr2sOwzthpEqU/MCAhrkdecpbUsD525dHxDw==","signedAt":"2026-06-22T01:17:01.172Z","signedBy":"unfragile.ai","version":1},"_links":{"self":"https://unfragile.ai/api/v1/passport/piloty","artifact":"https://unfragile.ai/piloty","verify":"https://unfragile.ai/api/v1/verify?slug=piloty","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"}}