The Paste That Leaks: Build a Gate Between Your Repo and the AI Context

Description and use

Pasting logs with secrets into AI models can leak credentials. A gate script scans files for secrets and blocks them before they enter the AI session.

Problem

Engineers paste stack traces into AI models, unintentionally leaking secrets such as passwords and connection strings into the model’s session history, which can be exported or retained by the platform.

Outcome

The gate script successfully identified the Redis URL with credentials in the dangerous log file and prevented it from being pasted into the AI session, mitigating the risk of secret leakage.

Workflow

• 1. Create a test repository with a clean log file and a dangerous log file containing a Redis URL with credentials.
• 2. Run the secrets_gate.py script against the files or stdin to detect secret patterns.
• 3. If the script exits with findings, block the paste and alert the engineer.
• 4. Only allow pastes that pass the gate to enter the AI session.

Evidence

The failure we keep seeing lives at boundary two. The reason is always the same: the paste was urgent, not malicious.

Source

Here is the gate I run on any file before it is allowed to enter a session context. It is deliberately small: just five regex patterns and an exit code.

Source