What problem does it solve? Running Claude Code directly on a host machine exposes your system to unrestricted shell and file access, and integrating the CLI into scripts, APIs, or chat platforms requires manual plumbing. This Skill installs, configures, and operates claudebox, a Docker-based wrapper that isolates Claude Code in a container while exposing it through seven programmatic surfaces. ## Core Features & Use Cases - Containerized CLI execution: Run interactive sessions or one-shot prompts (claudebox -p "prompt") with automatic session resumption, workspace mounting, and SSH/git state handled by the wrapper. - Multiple server surfaces: Expose Claude Code as an HTTP REST API (POST /run, file operations), an OpenAI-compatible chat/completions endpoint, an MCP server with 5 tools, a Telegram bot with per-chat workspaces, or a cron scheduler for recurring jobs. - Use Case: A CI pipeline needs automated code review. Run claudebox -p "review this diff for security issues" --output-format json to get structured results without a TTY, or point LiteLLM at the OpenAI-compatible endpoint so every completion runs the full agentic CLI with file and shell access. ## Quick Start Ask the agent to install claudebox with the install script and then run a one-shot prompt like "inspect this workspace" from your project directory.