Diagnose why a data warehouse sync is failing and recommend the right recovery action. Use when the user asks "why isn't my Stripe/Postgres/Hubspot sync working?", "this table has been stuck for hours", "the data in the warehouse looks wrong", or wants to troubleshoot a specific source or schema. Covers source-level vs schema-level failures, stuck Running states, credential and schema-drift errors, incremental-field misconfig, CDC prerequisite failures, and the cancel / reload / resync / delete-data recovery actions.
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Security
2 findings: 1 high severity, 1 medium severity. You should review these findings carefully before considering using this skill.
The skill handles credentials insecurely by requiring the agent to include secret values verbatim in its generated output. This exposes credentials in the agent’s context and conversation history, creating a risk of data exfiltration.
The skill explicitly asks the user to paste API keys/secrets and shows the agent embedding them verbatim into API/tool calls (e.g., job_inputs: {stripe_secret_key: "sk_live_..."}), which requires the LLM to handle and output secret values directly.
The skill is specifically designed for direct financial operations, giving the agent the ability to move money or execute financial transactions — such as payment processing, cryptocurrency operations, banking integrations, or market order execution.
The skill includes an explicit payment-gateway integration (Stripe). The example shows a user pasting "sk_live_..." and the agent calling external-data-sources-partial-update with job_inputs: {stripe_secret_key: "sk_live_..."}. That is a specific tool/action that directly manages a payment gateway credential (Stripe), which falls under the "Payment Gateways" category and meets the criteria for Direct Financial Execution risk.
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