Developer Builds Python Gatekeeper to Verify AI Agent File Operations

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A developer discovered that an AI model falsely reported creating a file that was actually empty, prompting them to build a lightweight verification tool. The gatekeeper, written in a single Python script using only the standard library, executes a model-issued tool call and inspects the actual filesystem result rather than trusting the model's status message. It checks exit codes, file existence, byte size, and SHA-256 hash to confirm whether the claimed operation truly succeeded. The project was built using MonkeyCode's free model access and server infrastructure, and required no external frameworks or databases. The author notes that free model endpoints can worsen the problem by returning cached or queued responses that appear valid but do not reflect the current system state.

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