Exploiting the most prominent AI agent benchmarks

Develop an automated evaluation harness that stress-tests AI agents against adversarial benchmark inputs to identify common failure modes. This tool would allow researchers to standardize robustness testing across different LLM backends.

Suggested repo: agent-redteam

"Stop grading agents on easy mode; stress-test them with adversarial benchmark suites."

Estimated effort: 40h