ai-automation-workflows

Pass

Audited by Gen Agent Trust Hub on Sep 2, 2026

Risk Level: SAFEINDIRECT_PROMPT_INJECTIONEXTERNAL_DOWNLOADSCOMMAND_EXECUTION
Full Analysis
  • [INDIRECT_PROMPT_INJECTION]: The skill includes patterns that ingest external data (e.g., $(cat $file) in data_processing.sh) and pipe it directly into AI model prompts without sanitization or boundary markers.
  • Ingestion points: data_processing.sh reads all .txt files in a directory.
  • Boundary markers: Absent. Content is interpolated directly into a JSON prompt string.
  • Capability inventory: The skill uses belt app run to execute various AI models and curl for alerting.
  • Sanitization: None detected.
  • [EXTERNAL_DOWNLOADS]: The documentation includes references to external scripts and installation guides from GitHub.
  • Evidence: https://raw.githubusercontent.com/inference-sh/skills/refs/heads/main/cli-install.md is referenced for installation instructions.
  • [COMMAND_EXECUTION]: The skill utilizes the Bash tool and provides multiple shell script templates that execute the belt CLI tool, curl, and file system operations.
  • Evidence: Extensive use of belt app run, mkdir, and redirection in provided automation patterns.
Audit Metadata
Risk Level
SAFE
Analyzed
Sep 2, 2026, 02:20 PM
Security Audit — agent-trust-hub — ai-automation-workflows