What is domain-weighted voting in this skill?

Domain-weighted voting assigns higher influence to specific agents based on the task at hand; for example, a security agent's vote counts three times more than others when evaluating encryption logic.

When should I use Consensus Voting instead of the Debate workflow?

Use Consensus Voting for binary or discrete choices where a clear decision and audit trail are required. Use the Debate workflow for open-ended trade-off analysis and collaborative synthesis.

Does this skill activate automatically?

Yes, it auto-activates when Claude detects sensitive tasks such as authentication changes, security implementations, or sensitive data handling.

What consensus thresholds are supported?

The skill supports simple-majority (50%+), supermajority (66%+), and unanimous (100%) voting modes depending on the risk level of the decision.

Consensus Voting

Name: Consensus Voting
Author: rysweet

byrysweet

•

Seguridad y Pruebas

Facilitates weighted multi-agent decision-making for critical code changes like security and authentication logic.

Acerca de

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.

Características Principales

Configurable consensus thresholds including Supermajority and Unanimous
Automated audit trails documenting reasoning and dissenting views
17 GitHub stars
Multi-agent expertise calibration for security, auth, and data
Auto-activation for high-risk domains like encryption and PII handling
Domain-weighted voting power based on agent expertise

Casos de Uso

Validating high-stakes security and authentication implementations
Choosing between competing algorithm designs or implementation patterns
Ensuring architectural buy-in for major production-level code changes

Acerca de

Características Principales

Configurable consensus thresholds including Supermajority and Unanimous
Automated audit trails documenting reasoning and dissenting views
17 GitHub stars
Multi-agent expertise calibration for security, auth, and data
Auto-activation for high-risk domains like encryption and PII handling
Domain-weighted voting power based on agent expertise

Casos de Uso

Validating high-stakes security and authentication implementations
Choosing between competing algorithm designs or implementation patterns
Ensuring architectural buy-in for major production-level code changes