Facilitates weighted multi-agent decision-making for critical code changes like security and authentication logic.
The Consensus Voting skill implements a structured, multi-agent evaluation framework for critical architectural and security decisions. By assigning weighted influence based on domain expertise—such as giving a security agent triple voting power on encryption tasks—it ensures that high-stakes choices are validated through rigorous consensus rather than simple synthesis. This skill is essential for handling sensitive data, complex algorithms, and permission systems, providing a transparent audit trail of reasoning and expert validation for every decision made by the AI.
Key Features
01Configurable consensus thresholds including Supermajority and Unanimous
02Automated audit trails documenting reasoning and dissenting views
0317 GitHub stars
04Multi-agent expertise calibration for security, auth, and data
05Auto-activation for high-risk domains like encryption and PII handling
06Domain-weighted voting power based on agent expertise
Use Cases
01Validating high-stakes security and authentication implementations
02Choosing between competing algorithm designs or implementation patterns
03Ensuring architectural buy-in for major production-level code changes
