Show HN: Prompt-injection firewall for OpenClaw agents (github.com)

A developer has introduced a robust runtime control system for OpenClaw, designed to enhance security against prompt injection attacks. This system intercepts calls to the child_process module, ensuring that all external commands receive approval via a Telegram channel. Notably, it categorizes commands into read-only and executable, allowing non-intrusive commands to pass unhindered while requiring human confirmation for any actions that could modify external data. Furthermore, the system actively checks command outputs for signs of prompt injection, blocking suspicious commands and providing warnings when threats are detected. The significance of this development lies in its proactive approach to safeguarding AI interactions from potentially malicious prompts, a rising concern in AI/ML applications. By integrating Telegram for human oversight, it merges automation with necessary human judgment, fostering a layer of security that is crucial as AI systems become more complex. The implementation details, such as command categorization and specific lines of code for detection logic, demonstrate a structured methodology that other developers in the community may replicate or enhance, potentially leading to widespread advancements in ensuring the integrity of AI command executions.