auraone

Connect agent systems, inspect tool traces, replay failures, compare candidates, and export regression evidence.

Author, validate, preview, calibrate, diff, and export criterion-level AI evaluation rubrics.

Synchronize robot episodes, inspect failures and recoveries, record review decisions, and export checksummed evidence.

Import rubric JSON and response JSONL, validate them, run deterministic scoring, and inspect exact evidence in the browser.

Measure inter-annotator agreement with modern metrics, uncertainty, ordinal support, and missing-data handling.

Validate, lint, diff, and convert portable AuraOne Rubric Schema v1 files.

Probe judge behavior for position, verbosity, self-preference, paraphrase, anchoring, and calibration failures.

Shared Proofline UI, runtime contracts, keychain, updater, and release infrastructure for AuraOne Open desktop Studios.

Validate required Datasheet, Model Card, and Data Card sections and surface actionable review findings.

Scan MCP manifests, package metadata, source, and docs for tool, auth, filesystem, shell, network, and readiness risks.

Validate and render a disclosure record for judge prompts, calibration, bias, limitations, and intended use.

Run executable rubric-spec v1 compatibility checks and emit reproducible conformance evidence.

Run AuraOne evaluations for an exact commit and publish one lifecycle-aware Check Run plus one idempotent evidence summary.

Generate simulator-light perturbation diagnostics for vision-language-action policies.

Generate controlled synthetic annotator disagreement before real reviewer data is collected.

Browse, filter, validate, and reproduce public synthetic failure cases.

Integrate hosted AuraOne evaluation workflows through typed REST and GraphQL clients.

Provide repo-ready MCP, A2A, OTEL, replay, compare, and CI examples.

Convert OpenTelemetry or Phoenix GenAI trace exports into local evaluation regression cases and manifests.

Validate and summarize human intervention and recovery segments in robot episodes.