{"name":"Moda","url":"https://docs.moda.dev/","version":"1.0.0","protocolVersion":"0.3","preferredTransport":"HTTP+JSON","supportedInterfaces":[{"url":"https://docs.moda.dev/","protocolBinding":"HTTP+JSON","protocolVersion":"0.3"}],"provider":{"url":"https://docs.moda.dev/","organization":"Moda"},"documentationUrl":"https://docs.moda.dev/","capabilities":{"streaming":false,"pushNotifications":false},"defaultInputModes":["text/plain"],"defaultOutputModes":["text/plain"],"skills":[{"id":"moda","name":"moda","description":"Use when ingesting LLM traces, querying production agent data, investigating quality issues, analyzing user emotion and tool failures, or building harness improvements. Agents use Moda to send traces from Python/Node.js apps, search production data via CLI or API, diagnose problems, and understand agent behavior at scale.","tags":[],"url":"https://docs.moda.dev/.well-known/agent-skills/moda/skill.md"}]}