Zapier workflows/doctor — agentic threat model

Not certain from the listing — likely relies on external LLMs. A key threat is prompt injection via malicious error logs or workflow names, which could trick the model into executing unauthorized workflow modifications.

Not certain from the listing — reads workflow state and configuration data. If these states contain hardcoded secrets, PII, or sensitive business logic, there is a risk of data exfiltration or exposure during the diagnosis process.

The agent uses tools to read and modify Zapier workflows. A primary threat is tool misuse, where a logic error or adversarial input causes the agent to corrupt, disable, or maliciously alter active integrations.

Not certain from the listing — presumably runs within Zapier's execution environment. Threats include insecure storage of the API keys or OAuth tokens required to modify the user's Zapier account.

Not certain from the listing — no built-in guardrails or evaluation mechanisms are described. Without strict audit logging of the exact modifications made by the agent, malicious or erroneous changes may go unnoticed.

Not certain from the listing — relies on Zapier's platform-level authorization. If the agent lacks fine-grained access controls, it may violate least-privilege principles by having write access to all Zaps instead of only the one being debugged.

As an agent skill within the Zapier ecosystem, it interacts with various third-party APIs connected to the Zaps. A compromised workflow modified by this agent could trigger cascading security failures across the user's entire connected SaaS ecosystem.