CalibratedDecisions.

Repo · Safety & guardrails

jev-injection-guard

Find prompt injection in what an AI agent reads (web pages, tool and MCP results) with Jev, and block the source in Claude Code.

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From the repository

OpenBles Firewall 1: an open 31.8 MB decision model that catches prompt injection in what an AI agent reads (web pages, tool and MCP results). Open weights, MIT. Measured on public held-out sets.

How builders describe it

Find prompt injection in what an AI agent reads (web pages, tool and MCP results) with Jev, and block the source in Claude Code. Measured on public held-out sets.

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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