Aguara is an open source security engine for AI agent and supply-chain trust. It detects prompt injection, data exfiltration, credential leaks, and known-compromised packages across AI agent skills, MCP servers, CI workflows, and dependency lockfiles. No SaaS account, no telemetry, no LLM calls; default runs stay offline. Usage: aguara [command] Examples: aguara scan ./my-skill Scan a skill or MCP server directory aguara audit . --ci Package check + content scan, one verdict, gate CI aguara check Check dependencies for known-compromised packages aguara explain CRED_001 Show what a rule detects and how to fix it Scan & audit: audit Run scan + check together and produce a single verdict check Check for compromised packages and persistence artifacts clean Remove compromised packages, malicious files, and persistence artifacts discover Discover MCP client configurations on this machine scan Scan a directory for security issues Rules & threat intel: explain Show detailed information about a detection rule list-rules List all available detection rules status Show Aguara version and threat-intel freshness update Refresh the local threat-intel snapshot from Aguara's signed bundle Setup: completion Generate the autocompletion script for the specified shell help Help about any command init Initialize Aguara configuration files version Print the version Flags: --disable-rule strings Rule IDs to disable (comma-separated, repeatable) --format string Output format (terminal, json, sarif, markdown) (default "terminal") -h, --help help for aguara --no-color Disable colored output --no-update-check Disable update check -o, --output string Output file path (default: stdout) --rules string Additional rules directory --severity string Minimum severity to report (critical, high, medium, low, info) (default "info") -v, --version version for aguara --workers int Number of worker goroutines (default: NumCPU) Use "aguara [command] --help" for more information about a command.