skills/marcfargas/skills/azcli/Gen Agent Trust Hub

azcli

Pass

Audited by Gen Agent Trust Hub on Sep 29, 2026

Risk Level: SAFECOMMAND_EXECUTIONINDIRECT_PROMPT_INJECTIONEXTERNAL_DOWNLOADS
Full Analysis
  • [INDIRECT_PROMPT_INJECTION]: The skill manages a broad range of cloud infrastructure through natural language instructions, creating a surface for potential injection via untrusted resource names or configurations.
  • Ingestion points: User-provided resource names, JMESPath queries, and configuration values in SKILL.md and reference files.
  • Boundary markers: Implements a specific 'Agent Safety Model' in SKILL.md that classifies operations by risk (READ, WRITE, DESTRUCTIVE) and requires explicit user confirmation for non-read actions.
  • Capability inventory: High-privilege operations including resource deletion, RBAC management, and network security configuration across all service files.
  • Sanitization: Instructions mandate the use of -o json for parseable output and explicitly forbid passing secrets as CLI arguments.
  • [EXTERNAL_DOWNLOADS]: The skill references official installation sources for the Azure ecosystem.
  • Directs the agent to download the Azure CLI from Microsoft's official aka.ms and winget sources.
  • Includes commands for installing the Bicep compiler and CLI extensions from Microsoft's managed infrastructure.
  • [COMMAND_EXECUTION]: The primary purpose of the skill is to execute az shell commands.
  • Provides detailed syntax for resource lifecycle management (create, update, delete).
  • Mitigates risk by providing clear warnings against suppressing confirmation prompts (e.g., advising against --yes for destructive tasks).
  • [CREDENTIALS_UNSAFE]: The skill includes instructions for managing authentication and secrets.
  • Guides the agent to use Azure Key Vault and Managed Identities, which are industry best practices for secure identity management.
  • Explicitly warns against committing credentials to code or exposing passwords in shell history.
Audit Metadata
Risk Level
SAFE
Analyzed
Sep 29, 2026, 10:42 AM