goldsky-secrets

Manage Goldsky pipeline sink secrets with structured JSON schemas.

Updated Feb 3, 2026
One-click install
npx skills add https://github.com/herd-labs/subgraph-to-goldsky --skill goldsky-secrets-herd-labs
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: goldsky-secrets
Source: https://github.com/herd-labs/subgraph-to-goldsky/tree/main/.claude/skills/goldsky-secrets
Command: npx skills add https://github.com/herd-labs/subgraph-to-goldsky --skill goldsky-secrets-herd-labs

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill includes scripts (resource) components.

What problem does it solve?

This skill enables secure management of Goldsky secrets for pipeline sinks.

Core Features & Use Cases

  • Create, list, reveal, update, rotate, and delete credentials for common sinks (PostgreSQL, ClickHouse, Kafka, S3, and more) to keep pipelines secure and auditable.
  • Support provider-specific guidance and quick parsing of connection strings to auto-create secrets, reducing manual configuration.
  • Use structured secret schemas to ensure consistent integration with Goldsky-powered pipelines.

Quick Start

Use the Goldsky CLI to create a new secret for a sink, reference it in your pipeline YAML, and verify with a secret list.

Frequently Asked Questions about goldsky-secrets

High-intent search queries and answers about installing and using this skill.

FAQPage Schema
How do I manage secrets for Goldsky pipeline sinks?

To manage Goldsky pipeline secrets, you can create, list, reveal, rotate, and delete credentials for various sinks using the Goldsky CLI. This enforces structured JSON schemas to keep pipelines secure and auditable.

Can I auto-create a Goldsky secret from a PostgreSQL connection string?

Yes, you can auto-create Goldsky secrets from a PostgreSQL connection string. The skill provides provider-specific guidance and quick parsing to generate structured JSON secrets, reducing manual configuration.

What sinks are supported for credential rotation in Goldsky?

Credential rotation in Goldsky supports PostgreSQL, ClickHouse, Kafka, S3, and other sinks. The skill enforces a safe secret lifecycle, allowing you to update credentials consistently across these providers.

Why do my Goldsky pipeline credentials need a structured JSON schema?

Goldsky secrets require structured JSON schemas to ensure consistent integration with pipelines. This structure enforces a safe secret lifecycle and maintains auditable credentials across all supported sinks.

What is the best way to delete credentials for a ClickHouse sink in Goldsky?

The best way to delete ClickHouse credentials is to use the Goldsky CLI to execute a secret deletion. This removes the credentials safely while maintaining the structured secret lifecycle within your Goldsky ecosystem.