Manage Goldsky pipeline sink secrets via interactive CLI workflows.
npx skills add https://github.com/goldsky-io/goldsky-agent --skill secrets-goldsky-io
Please help me install this Agent Skill. Skill: secrets Source: https://github.com/goldsky-io/goldsky-agent/tree/main/skills/secrets Command: npx skills add https://github.com/goldsky-io/goldsky-agent --skill secrets-goldsky-io
Goldsky secrets management solves the challenge of securely storing and rotating credentials used by pipeline sinks (PostgreSQL, ClickHouse, Kafka, S3, etc.), avoiding hard-coded secrets in YAML and enabling safe deployment.
Run the Goldsky CLI to create a new secret and reference it in your pipeline YAML.
High-intent search queries and answers about installing and using this skill.
Pipeline credentials for PostgreSQL and Kafka sinks are managed by creating, rotating, and referencing named secrets. This avoids hard-coded credentials in YAML files and ensures safe deployment by validating secret structures against JSON schemas.
Rotating secrets for a Goldsky pipeline sink involves using interactive CLI workflows to update the stored credential values. This ensures your pipeline connections to databases and object storage remain secure without requiring YAML modifications.
Yes, you can reference secret names directly in your pipeline YAML configuration. This mechanism allows pipelines to securely connect to sinks like ClickHouse, S3, and PostgreSQL by resolving the referenced secret at runtime.
Connection strings for database sinks are parsed using a dedicated scripts folder equipped with jq. This setup extracts and validates the necessary credential components from the connection strings before secure storage.
Yes, jq is required as a dependency to parse connection strings and validate secret values. The scripts component utilizes jq to ensure the correct structure and safety of credentials before storing them for your sinks.
Dedicated secret management should be used whenever you need to securely store and rotate credentials for pipeline sinks like PostgreSQL, Kafka, or S3. It prevents hard-coded secrets in YAML, enabling safe deployment and structured validation.
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