Show HN: A reproducible harness for catching agent-eval cheating

Category: devtools

Tags: agent-evaluation, benchmarking, sandbox

Score: 6.5/10 (Innovation: 7, Technical: 6, Documentation: 7, Utility: 6)

Agent-eval-harness provides a reproducible framework for detecting cheating in agent evaluations by using per-task isolation with microVM sandboxes. It demonstrates how trusting an agent's environment can inflate scores and offers a causal chain for trustworthy benchmarks. The project is interesting for its focus on the under-appreciated harness problem in AI evaluation.

Target audience: ai researchers, ml engineers, devops

Repository: https://github.com/sebuzdugan/agent-eval-harness · Python · MIT

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