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A macOS sandbox CLI designed specifically for AI programming tools like Claude Code, which implements default-deny filesystem isolation via Seatbelt to protect sensitive data such as SSH keys and AWS credentials from supply chain attacks.
Section 01
sandbox-shell is a macOS sandbox CLI designed specifically for AI programming tools like Claude Code. It implements default-deny filesystem isolation via Seatbelt to protect sensitive data such as SSH keys and AWS credentials from supply chain attacks, addressing the security challenges developers face in the AI programming era.
Section 02
With the popularity of AI programming assistants like Claude Code and Cursor, developers often let AI execute code and install dependencies. However, malicious npm packages, tampered open-source libraries, or destructive commands accidentally executed by AI may steal or delete sensitive files. Traditional permission management struggles to judge the security of operations, while macOS's built-in Seatbelt sandbox mechanism provides a solution.
Section 03
sandbox-shell is a command-line tool that encapsulates Seatbelt configurations, adopting the "default-deny" philosophy (filesystem access is prohibited unless explicitly allowed). It is suitable for scenarios such as running untrusted code in AI workflows, executing internet scripts, testing dependency packages, and isolating build environments.
Section 04
Seatbelt is a mandatory access control mechanism for macOS, which restricts process permissions through configurations. sandbox-shell uses it to create a restricted environment.
All access is prohibited unless allowed: cannot access home directories, sensitive configurations (SSH private keys/AWS credentials), or critical system directories.
Users can precisely specify read/write directories via parameters/configurations to limit the damage scope of malicious processes.
Section 05
Wrap Claude Code runs to ensure AI cannot access sensitive directories like ~/.ssh and ~/.aws, while allowing normal reading/writing of project code.
Run npm/PyPI dependency installation scripts in an isolated environment to avoid affecting the main system.
Restrict temporary file generation and command calls during the build process to prevent environment pollution.
Section 06
Usage: Prepend 'sandbox-shell' before a command to enter a restricted environment. Define permission templates via configuration files; typical configurations include: allowed project directories for reading, allowed build output directories for writing, temporary folder access, and optional network control.
Section 07
sandbox-shell only supports macOS; Linux users can consider systemd-nspawn, Docker, or Firejail. The sandbox mainly targets filesystem attacks; for memory/network-level attacks, other security measures need to be used in conjunction.
Section 08
sandbox-shell represents the trend of development tool security shifting from "post-incident remediation" to "pre-isolation". It balances the convenience and security of AI programming through least-privilege sandboxes. As AI tools become more popular, such security infrastructure will become more important, driving a shift in security thinking and allowing developers to embrace the future of AI programming with confidence.
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