Show HN: A context-aware permission guard for Claude Code
Manuel Schipper has developed 'nah', a Python-based tool designed to provide deterministic safety guards for coding agents like Claude Code. Unlike prompt-based or allow/deny list approaches, nah maps tool calls to a taxonomy of intents, adding context such as project details and sensitive file locations. It then applies user-defined configurations and classifiers to either allow, block, or ask for clarification before an action is executed, aiming to prevent security risks like credential leaks or destructive commands. AI
IMPACT Provides a deterministic, auditable layer for managing AI agent actions, potentially reducing security risks and improving developer trust.