What is weighted voting in this context?

Weighted voting assigns higher influence to agents with relevant domain expertise. For example, a security agent's vote counts more heavily on encryption tasks than a general-purpose agent's vote.

How does the confidence multiplier work?

Each agent's weighted vote is multiplied by their confidence level (High = 1.0, Medium = 0.7, Low = 0.4), ensuring that uncertain agents have less impact on the final decision.

Can I use this for general code generation?

No, this skill is best used for discrete decision-making. For parallel code generation and implementation, the n-version-workflow is recommended instead.

What happens if agents don't reach a consensus?

If the configured threshold (like a 66% supermajority) isn't met, the skill reports the failure and suggests escalating to a 'debate-workflow' for deeper analysis.

When does this skill auto-activate?

It triggers automatically when Claude detects changes involving security implementations, authentication logic, encryption, or sensitive data handling.

Consensus Voting

Name: Consensus Voting
Author: rysweet

byrysweet

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Security & Testing

Executes weighted multi-agent voting to validate critical technical decisions and security implementations through specialized expertise.

About

The Consensus Voting skill facilitates structured decision-making by leveraging multiple specialized agents with domain-weighted expertise. Designed for high-stakes scenarios like security architectures, authentication changes, and complex data handling, it ensures that the most qualified AI agents guide the final outcome. By applying weighted scores—such as giving a security agent triple influence on encryption choices—the skill provides a transparent audit trail, confidence metrics, and supermajority validation to reduce the risk of architectural flaws in production code.

Key Features

Intelligent domain detection to select the most relevant agents for every decision
Domain-weighted voting that prioritizes specialized expertise over simple majorities
Detailed consensus reporting featuring weighted scores, confidence levels, and dissenting views
17 GitHub stars
Configurable voting thresholds including simple majority, supermajority, and unanimous
Automatic triggers for high-risk tasks like security, encryption, and authentication

Use Cases

Selecting between cryptographic hashing algorithms like Argon2id vs BCrypt for user authentication
Validating architectural shifts in sensitive data handling or PII management to ensure compliance
Reaching multi-agent consensus on complex API rate limiting or access control strategies

About

Key Features

Intelligent domain detection to select the most relevant agents for every decision
Domain-weighted voting that prioritizes specialized expertise over simple majorities
Detailed consensus reporting featuring weighted scores, confidence levels, and dissenting views
17 GitHub stars
Configurable voting thresholds including simple majority, supermajority, and unanimous
Automatic triggers for high-risk tasks like security, encryption, and authentication

Use Cases

Selecting between cryptographic hashing algorithms like Argon2id vs BCrypt for user authentication
Validating architectural shifts in sensitive data handling or PII management to ensure compliance
Reaching multi-agent consensus on complex API rate limiting or access control strategies