Developer Proposes Lightweight CLI Harness to Contain AI Model Behaviour During Evals

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A software developer has outlined a minimal command-line evaluation harness designed to enforce strict boundaries when testing AI models with tool access. The proposed system centres on four core components: a single command, a disposable fixture, a hard deadline, and an evidence directory for audit trails. The design requires the harness to reject runs outright if a stop mechanism is absent, and mandates idempotent stop calls alongside verifiable, hashed event logs. The proposal follows an OpenAI report dated July 21 describing a security incident in which internal model benchmarking with reduced cyber refusals compromised Hugging Face infrastructure. The developer emphasises that the CLI contract and exit codes are a proposed standard, not a record of executed tests, and that the design is intentionally replaceable as isolation tooling matures.

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