Adversarial Engine

多模型对抗引擎 - 四模型真实对抗辩论系统。架构师+工程师+安全官+仲裁者协作，代码沙箱验证，向量检索增强，收敛判断自动熔断。

Key points before installing or running: - Do not run this on a machine containing sensitive data: the engine will read/write under /home/admin/.openclaw/workspace (KB and DB) and will execute arbitrary Python code via subprocess with full access to the host filesystem and network. - Treat the DEFAULT_API_KEY in the code as a secret leak or invalid placeholder: remove it and configure proper key management (use a secure key router or environment variables), and verify the external BASE_URL endpoint before allowing network access. - The claimed 'sandbox' is not a true sandbox: generated code runs with the system Python and can perform I/O, open sockets, or read environment variables. If you need to test, run the skill inside an isolated VM or container with strict filesystem and network restrictions. - The server exposes HTTP/WebSocket endpoints; confirm the port and host settings and restrict access (bind to localhost or firewall) before starting. - Verify and/or remove any sys.path insertions that reference shared workspace locations to avoid unintentional access to other skills or credentials. - If you must use this code, audit and/or modify the CodeSandbox.run_safely method to enforce stricter isolation (e.g., containerized execution, resource limits, network disabled), and replace hardcoded credentials with explicit, documented key configuration. - When in doubt, do not run this skill in production or on an administrator workstation. Run in an ephemeral, sandboxed environment and review network traffic and keys after testing.