ai-coding-agents-execution-sandbox
Pass
Audited by Gen Agent Trust Hub on Aug 12, 2026
Risk Level: SAFE
Full Analysis
- [SAFE]: The skill is an educational resource providing guidelines and configuration patterns for securing AI agent runtime environments. It advocates for security-first principles such as least privilege, canonical path resolution, and explicit network allowlists.
- [SAFE]: All external resources and implementations referenced (e.g., Anthropic's Claude Code, OpenAI's Codex, and the Agentic AI Foundation) originate from trusted technology organizations and established open-source projects. The documentation is used to inform security design rather than to introduce vulnerabilities.
- [SAFE]: The skill includes defensive auditing tools, such as the 'Escape-Path Test Matrix,' which helps developers identify and mitigate common sandbox bypass vectors like symlink traversal, environment variable injection, and unauthorized network calls.
Audit Metadata