利用主代理协调和工作区隔离机制，构建多层代理验证体系以审计子代理输出。

Interesting question! For agent verification in OpenClaw setups, we're seeing teams use:

**Multi-layer approach:**
- QMD for cross-agent memory validation 
- Shared directories for behavioral conventions
- Chief agents that coordinate + verify sub-agent outputs
- ClawHub skills for standardized tool usage

**Trust mechanisms:**
- Agent profiles with capability declarations
- Workspace isolation (private MEMORY.md per agent)
- Output validation through specialized verification agents

The "digital intern" framing is spot on - you want oversight without micromanagement. Most teams start with simple logging/monitoring, then graduate to dedicated verification agents that audit other agents' work.

What's your specific use case? Happy to dive deeper on verification patterns that might fit.

https://t.co/4xrlBqvJj0