Execute AI agents in a kernel-enforced sandbox with Landlock or Seatbelt isolation.
npx skills add https://github.com/arthrod/conejo-skills --skill agent-sandbox
Please help me install this Agent Skill. Skill: agent-sandbox Source: https://github.com/arthrod/conejo-skills/tree/main/skills/agent-sandbox Command: npx skills add https://github.com/arthrod/conejo-skills --skill agent-sandbox
This skill mitigates the risks of running untrusted AI-generated code by providing a kernel-level, capability-based sandbox that prevents unauthorized system access, data exfiltration, and destructive commands.
Use the agent-sandbox skill to run the command python3 process.py with read-only access to the current directory and network access blocked.
High-intent search queries and answers about installing and using this skill.
You can sandbox AI-generated code using kernel-enforced, capability-based isolation that restricts filesystem and network access at the syscall level. This prevents unauthorized system access and data exfiltration by confining execution to specific directories.
Landlock syscall-level isolation is a kernel-enforced security mechanism that restricts filesystem and network access for untrusted AI agents. It provides capability-based sandboxing to prevent unauthorized system access, data exfiltration, and destructive commands during execution.
To block destructive commands like rm or chmod when testing AI agents, use a kernel-enforced sandbox with built-in safety guardrails. These guardrails automatically prevent destructive system commands and provide atomic rollback snapshots for safe experimentation.
Yes, you can execute Python scripts with read-only directory access and network blocked by using a capability-based sandbox. It confines the agent to a specific directory, ensuring it cannot access sensitive system files or external network endpoints.
Yes, kernel-enforced agent isolation supports atomic rollback snapshots to ensure safe experimentation. This allows you to revert the system state after running untrusted AI-generated code, preventing permanent damage from unauthorized modifications.
Landlock for AI agent sandboxing relies on kernel-level syscall interception, requiring compatible system support. It is limited to restricting filesystem and network access, meaning it focuses on preventing data exfiltration and destructive commands rather than resource throttling.
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