agentclash-challenge-pack-tools-sandbox

To configure a secure sandbox environment for AI agents, define native execution surfaces by setting custom tools, CIDR-based network allowlists, and sandbox runtime settings within a YAML configuration file. This isolates execution and scopes permissions.

Tool policy management restricts allowed tool kinds—such as browser, build, data, file, and network—to maintain a narrow attack surface. Filtering tool kinds ensures the AI agent only accesses execution surfaces explicitly defined in the challenge pack.

Yes, you can restrict network access by applying CIDR-based network allowlisting in your sandbox configuration. This limits outbound and inbound traffic to approved IP ranges, preventing over-privileged network execution during evaluation.

You can inject environment variables without exposing raw secrets by configuring secure secret reference management in the sandbox runtime settings. This passes necessary variables to the native execution surface while keeping the underlying credentials hidden.

No, this sandbox configuration tool requires no external dependencies. It natively validates your YAML configuration file against strict tool-kind filtering and network policy requirements to ensure challenge pack settings are correctly scoped.

The best way to validate AI agent sandbox and tool settings is to run the validation command against your YAML file. This checks that strict tool-kind filtering, CIDR allowlists, and secret references are correctly applied.