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Agent-Guard 0.7 adds escape hatch for legitimate test changes during AI development

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The developer of agent-guard, a Python security tool, has released version 0.7. This update introduces a new classifier that analyzes changes to test files made during an AI coding session. It categorizes modifications as legitimate, malicious, or ambiguous based on their content. For ambiguous but legitimate cases, such as updating snapshots, users can now explicitly allow the changes via a command flag or environment variable. The tool is designed to prevent AI agents from weakening tests while allowing necessary updates.

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