ai-coding-agents-execution-sandbox
FeaturedDesigns execution sandboxes for coding agents. Use when modeling process isolation, filesystem policy, network controls, workspace mounts, or destructive-command boundaries.
Install
Quality Score: 89/100
Skill Content
Details
- Author
- vasilyu1983
- Repository
- vasilyu1983/AI-Agents-public
- Created
- 9 months ago
- Last Updated
- 1 weeks ago
- Language
- Python
- License
- MIT
Integrates with
Similar Skills
Semantically similar based on skill content — not just same category
ai-coding-agents-permissions
Designs approval and permission systems for coding-agent runtimes. Use when modeling tool approvals, plan-mode transitions, sandbox prompts, or worker permission handoffs.
sandboxing-agentic-systems
Contain an agent that runs code or reads untrusted content, layer by layer. Covers OS-level filesystem and network isolation that also catches spawned subprocesses, an egress proxy that checks request provenance, treating tool outputs and fetched pages as prompt-injection vectors, and keeping credentials outside the sandbox behind a proxy. Use this whenever someone designs a sandbox for a coding or computer-use agent, asks how to safely let an agent run shell commands or browse, worries about prompt injection from tool results, needs to limit what an autonomous agent can reach or delete, or asks where an agent's credentials should live. Trigger on "sandbox the agent," "agent runs untrusted code," "prompt injection," "restrict network access," and similar. This is environment containment; deciding which actions need approval before they run is a separate concern (action gating).
sandbox
Execute commands in isolated sandboxes for security. Use when running untrusted code, system commands, or operations that could affect the host system. Automatically detects the right runtime (Python, Node, Rust, Go, Ruby, etc.) from the command.