Interlocks: proving the agent read the skill
Read OriginalThis article explains how incident.io implements 'interlocks' in their Applied AI codebase to ensure Claude reads the associated skill file before using a tool. It describes two types: skill interlocks, which enforce skill reading by requiring a token, and guidance interlocks, which provide an audit trail of consulted files. The approach helps reduce errors, improve tool usage tracking, and ensure the agent follows intended workflows.
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