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Experimental active-learning CLI that evaluates CSV, Parquet, and JSONL data with Jev, asks people to label uncertain and randomly audited examples, and uses GEPA to propose improved definitions while keeping labels and proposal acceptance under human control.
When built with --assisted-shell and ran with --advise, the kamchatka agent classifies shell commands, providing the user with a quick, color-coded safety rating for each command that a model wants to run.
Agent-ergonomic CLI following the AXI conventions that gives coding agents Jev judgments for blocking risky tool calls, screening fetched content for prompt injection, triaging build logs, flagging risky diffs, and filtering or ranking many items; its own benchmark found agents using it read fewer files but cost the same, so it is meant for judgments rather than as a substitute for reading code.
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