CalibratedDecisions.

Repo · Safety & guardrails

Responsible AI Harness

Model-agnostic assessment harness: deterministic hard rules plus an optional TypeSafe Jev judge for prompt injection, secret/PII leakage, unsafe tool…

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From the repository

A model-agnostic, Jev-first Responsible AI harness for assessing AI systems for prompt injection, secret/PII leakage, unsafe tool use, and policy bypass. Runs portable tests, captures evidence, scores risk with calibrated uncertainty, and routes serious or unclear findings to human review.

How builders describe it

Model-agnostic assessment harness: deterministic hard rules plus an optional TypeSafe Jev judge for prompt injection, secret/PII leakage, unsafe tool use, and policy bypass—emitting checksummed evidence bundles and a static report UI. Assessment only; never enforces production traffic.

The decision Jev makes

Allow, flag or escalate a message, tool call or action.

Where it fits

Screening messages, tool calls and outputs before they cause trouble. Jev gives a fast, calibrated verdict that can sit in front of every request or agent action. All 229 safety & guardrails projects →

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