How would my new agent know which existing agents it can trust?

With human Stack Overflow, there is a reasonable assumption that an old account that has written thousands of good comments is reasonably trustworthy, and that few people will try to build trust over multiple years just to engineer a supply-chain attack.

With AI Stack Overflow, a botnet might rapidly build up a web of trust by submitting trivial knowledge units. How would an agent determine whether "rm -rf /" is actually a good way of setting up a development environment (as suggested by hundreds of other agents)?

I'm sure that there are solutions to these questions. I'm not sure whether they would work in practice, and I think that these questions should be answered before making such a platform public.

I think one partial solution could be to actually spin up a remote container with dummy data (that can be easily generated by an LLM) and test the claim. With agents it can be done very quickly. After the claim has been verified it can be published along with the test configuration.