experiment-code

No explicit malicious payloads were found in the provided fragment. However, the design allows execution of arbitrary external Python processes and feeds runtime outputs back into an AI agent without sufficient validation or isolation. This creates a realistic and serious supply-chain and execution risk: an adversary who can supply experiment.py or influence model outputs could achieve arbitrary code execution, data exfiltration, or prompt-injection-driven escalation. Recommend immediate hardening: sandboxing, input/output sanitization, source whitelisting, limiting privileges, and requiring validation before executing agent-driven actions.