intertrust

What problem does it solve?

This Skill addresses the challenge of managing and evaluating the reliability of AI agents by providing a robust system for tracking their performance and reputation.

Core Features & Use Cases

• Reputation Tracking: Monitors agent performance through feedback on findings and their severity.
• Severity-Weighted Decay: Applies a decay mechanism to trust scores, giving more weight to recent and severe findings.
• Suppression Candidates: Identifies agents that may require closer monitoring or intervention.
• Use Case: In a multi-agent development environment, this Skill helps identify which agents are consistently producing high-quality, accepted code versus those that frequently introduce issues, allowing for targeted improvements or reassignments.

Quick Start

Check the current trust status for all agents in the 'my-project' project.