Create Invoke Task
DataDog/datadog-agent
Create a new Python invoke task for the dda CLI. An agent skill from DataDog/datadog-agent.
Agent skill for quorum-manager - invoke with $agent-quorum-manager
$ npx skills add ruvnet/ruflo --skill agent-quorum-manager -a claude-codeProject install by default; add -g for ~/.claude/skills/.
$ gh skill install ruvnet/ruflo agent-quorum-manager --agent claude-codeProject scope by default; add --scope user for a personal install. Needs GitHub CLI 2.90.0 or later (public preview).
$ git clone --depth 1 https://github.com/ruvnet/ruflo.git skills-src && mkdir -p .claude/skills && cp -r skills-src/.agents/skills/agent-quorum-manager .claude/skills/agent-quorum-manager && rm -rf skills-srcUse ~/.claude/skills/ instead of .claude/skills for a personal install. The folder must contain SKILL.md.
Claude Code skills documentation · loads skills from .claude/skills/
Install the "agent-quorum-manager" agent skill from https://github.com/ruvnet/ruflo/tree/main/.agents/skills/agent-quorum-manager into .claude/skills/agent-quorum-manager/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "agent-quorum-manager", then confirm the skill loads.Claude Code copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$skill-installer install https://github.com/ruvnet/ruflo/tree/main/.agents/skills/agent-quorum-managerType this inside Codex. $skill-installer <name> installs a curated skill from openai/skills. The installer writes to $CODEX_HOME/skills (default ~/.codex/skills). Restart Codex if the skill does not show up.
$ npx skills add ruvnet/ruflo --skill agent-quorum-manager -a codexProject install goes to .agents/skills/; add -g for ~/.codex/skills/.
$ gh skill install ruvnet/ruflo agent-quorum-manager --agent codexProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/ruvnet/ruflo.git skills-src && mkdir -p .agents/skills && cp -r skills-src/.agents/skills/agent-quorum-manager .agents/skills/agent-quorum-manager && rm -rf skills-srcUse ~/.agents/skills/ instead of .agents/skills for a personal install.
Codex skills documentation · loads skills from .agents/skills/
Install the "agent-quorum-manager" agent skill from https://github.com/ruvnet/ruflo/tree/main/.agents/skills/agent-quorum-manager into .agents/skills/agent-quorum-manager/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "agent-quorum-manager", then confirm the skill loads.Codex copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$ npx skills add ruvnet/ruflo --skill agent-quorum-manager -a cursorProject install goes to .agents/skills/; add -g for ~/.cursor/skills/.
$ gh skill install ruvnet/ruflo agent-quorum-manager --agent cursorProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/ruvnet/ruflo.git skills-src && mkdir -p .cursor/skills && cp -r skills-src/.agents/skills/agent-quorum-manager .cursor/skills/agent-quorum-manager && rm -rf skills-srcUse ~/.cursor/skills/ instead of .cursor/skills for a personal install.
Cursor skills documentation · loads skills from .cursor/skills/, .agents/skills/, .claude/skills/, .codex/skills/
Install the "agent-quorum-manager" agent skill from https://github.com/ruvnet/ruflo/tree/main/.agents/skills/agent-quorum-manager into .cursor/skills/agent-quorum-manager/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "agent-quorum-manager", then confirm the skill loads.Cursor copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$ gemini skills install https://github.com/ruvnet/ruflo.git --path .agents/skills/agent-quorum-manager--scope user (default) or --scope workspace; --path is the subfolder of the repo that holds the skill; --consent skips the security confirmation prompt.
$ npx skills add ruvnet/ruflo --skill agent-quorum-manager -a gemini-cliProject install goes to .agents/skills/; add -g for ~/.gemini/skills/.
$ gh skill install ruvnet/ruflo agent-quorum-manager --agent gemini-cliProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/ruvnet/ruflo.git skills-src && mkdir -p .gemini/skills && cp -r skills-src/.agents/skills/agent-quorum-manager .gemini/skills/agent-quorum-manager && rm -rf skills-srcUse ~/.gemini/skills/ instead of .gemini/skills for a personal install, then run /skills reload.
Gemini CLI skills documentation · loads skills from .gemini/skills/, .agents/skills/
Install the "agent-quorum-manager" agent skill from https://github.com/ruvnet/ruflo/tree/main/.agents/skills/agent-quorum-manager into .gemini/skills/agent-quorum-manager/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "agent-quorum-manager", then confirm the skill loads.Gemini CLI copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$ gh skill install ruvnet/ruflo agent-quorum-managerInstalls for Copilot at project scope by default; add --scope user for a personal install. Preview a skill first with gh skill preview. Needs GitHub CLI 2.90.0 or later (public preview).
$ npx skills add ruvnet/ruflo --skill agent-quorum-manager -a github-copilotProject install goes to .agents/skills/; add -g for ~/.copilot/skills/.
$ git clone --depth 1 https://github.com/ruvnet/ruflo.git skills-src && mkdir -p .github/skills && cp -r skills-src/.agents/skills/agent-quorum-manager .github/skills/agent-quorum-manager && rm -rf skills-srcUse ~/.copilot/skills/ instead of .github/skills for a personal install. Commit .github/skills so cloud agent and code review can use it.
GitHub Copilot skills documentation · loads skills from .github/skills/, .claude/skills/, .agents/skills/
Install the "agent-quorum-manager" agent skill from https://github.com/ruvnet/ruflo/tree/main/.agents/skills/agent-quorum-manager into .github/skills/agent-quorum-manager/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "agent-quorum-manager", then confirm the skill loads.GitHub Copilot copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$ npx skills add ruvnet/ruflo --skill agent-quorum-manager -a opencodeOpenCode documents no install command of its own. Project install goes to .agents/skills/; add -g for ~/.config/opencode/skills/.
$ gh skill install ruvnet/ruflo agent-quorum-manager --agent opencodeProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/ruvnet/ruflo.git skills-src && mkdir -p .opencode/skills && cp -r skills-src/.agents/skills/agent-quorum-manager .opencode/skills/agent-quorum-manager && rm -rf skills-srcUse ~/.config/opencode/skills/ instead of .opencode/skills for a personal install.
OpenCode skills documentation · loads skills from .opencode/skills/, .claude/skills/, .agents/skills/
Install the "agent-quorum-manager" agent skill from https://github.com/ruvnet/ruflo/tree/main/.agents/skills/agent-quorum-manager into .opencode/skills/agent-quorum-manager/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "agent-quorum-manager", then confirm the skill loads.OpenCode copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
agent-quorum-managerAgent skill for quorum-manager - invoke with $agent-quorum-manager
Agent Quorum Manager is an agent skill from ruvnet/ruflo. Agent skill for quorum-manager - invoke with $agent-quorum-manager
Its SKILL.md is about 7k tokens, which your agent loads only when the skill is triggered. It is a single SKILL.md file with no bundled scripts.
The repository describes itself as: 🌊 The original agent harness. Deploy intelligent multi-player swarms, coordinate autonomous workflows, and build conversational AI systems. Features adaptive memory…. The licence is MIT.
5 steps, taken from the first numbered list in SKILL.md.
Read from SKILL.md and the folder at commit 6051f67. It shows what the files ask for, not the result of running them.
Pre-approves nothing: there is no allowed-tools line, so your agent's usual permission prompts apply.
From allowed-tools in the SKILL.md frontmatter.
No scripts in the folder and no shell commands in SKILL.md (its code samples are javascript).
From the folder's file list and the shell code blocks in SKILL.md.
No URLs in SKILL.md.
From URLs in SKILL.md, links to its own repository left out.
Names no API keys, tokens, secrets or passwords.
From names ending in _API_KEY, _TOKEN, _SECRET, _KEY or _PASSWORD in SKILL.md.
Agent Quorum Manager loads about 7k tokens when it runs. Until then it costs about 22 tokens; SKILL.md has 186 words of instructions outside code blocks.
Estimates: characters ÷ 4, the usual rule of thumb; real counts depend on the model's tokenizer. Scripts and assets cost tokens only if the agent reads them.
The automated check found no risky patterns in SKILL.md.
Automated static check — not a guarantee. Review scripts before installing. It scans the text of SKILL.md for risky patterns (piping downloads into a shell, reading credential files, hidden Unicode, destructive commands); files beside SKILL.md are not scanned.
The full file from ruvnet/ruflo at commit 6051f67, republished under its MIT licence (© ruvnet). 186 words, ~7,025 tokens.
.claude/skills/agent-quorum-manager/SKILL.md (or your agent's skills folder).name: quorum-manager type: coordinator color: "#673AB7" description: Implements dynamic quorum adjustment and intelligent membership management capabilities:
Implements dynamic quorum adjustment and intelligent membership management for distributed consensus protocols.
class QuorumManager {
constructor(nodeId, consensusProtocol) {
this.nodeId = nodeId;
this.protocol = consensusProtocol;
this.currentQuorum = new Map(); // nodeId -> QuorumNode
this.quorumHistory = [];
this.networkMonitor = new NetworkConditionMonitor();
this.membershipTracker = new MembershipTracker();
this.faultToleranceCalculator = new FaultToleranceCalculator();
this.adjustmentStrategies = new Map();
this.initializeStrategies();
}
// Initialize quorum adjustment strategies
initializeStrategies() {
this.adjustmentStrategies.set('NETWORK_BASED', new NetworkBasedStrategy());
this.adjustmentStrategies.set('PERFORMANCE_BASED', new PerformanceBasedStrategy());
this.adjustmentStrategies.set('FAULT_TOLERANCE_BASED', new FaultToleranceStrategy());
this.adjustmentStrategies.set('HYBRID', new HybridStrategy());
}
// Calculate optimal quorum size based on current conditions
async calculateOptimalQuorum(context = {}) {
const networkConditions = await this.networkMonitor.getCurrentConditions();
const membershipStatus = await this.membershipTracker.getMembershipStatus();
const performanceMetrics = context.performanceMetrics || await this.getPerformanceMetrics();
const analysisInput = {
networkConditions: networkConditions,
membershipStatus: membershipStatus,
performanceMetrics: performanceMetrics,
currentQuorum: this.currentQuorum,
protocol: this.protocol,
faultToleranceRequirements: context.faultToleranceRequirements || this.getDefaultFaultTolerance()
};
// Apply multiple strategies and select optimal result
const strategyResults = new Map();
for (const [strategyName, strategy] of this.adjustmentStrategies) {
try {
const result = await strategy.calculateQuorum(analysisInput);
strategyResults.set(strategyName, result);
} catch (error) {
console.warn(`Strategy ${strategyName} failed:`, error);
}
}
// Select best strategy result
const optimalResult = this.selectOptimalStrategy(strategyResults, analysisInput);
return {
recommendedQuorum: optimalResult.quorum,
strategy: optimalResult.strategy,
confidence: optimalResult.confidence,
reasoning: optimalResult.reasoning,
expectedImpact: optimalResult.expectedImpact
};
}
// Apply quorum changes with validation and rollback capability
async adjustQuorum(newQuorumConfig, options = {}) {
const adjustmentId = `adjustment_${Date.now()}`;
try {
// Validate new quorum configuration
await this.validateQuorumConfiguration(newQuorumConfig);
// Create adjustment plan
const adjustmentPlan = await this.createAdjustmentPlan(
this.currentQuorum, newQuorumConfig
);
// Execute adjustment with monitoring
const adjustmentResult = await this.executeQuorumAdjustment(
adjustmentPlan, adjustmentId, options
);
// Verify adjustment success
await this.verifyQuorumAdjustment(adjustmentResult);
// Update current quorum
this.currentQuorum = newQuorumConfig.quorum;
// Record successful adjustment
this.recordQuorumChange(adjustmentId, adjustmentResult);
return {
success: true,
adjustmentId: adjustmentId,
previousQuorum: adjustmentPlan.previousQuorum,
newQuorum: this.currentQuorum,
impact: adjustmentResult.impact
};
} catch (error) {
console.error(`Quorum adjustment failed:`, error);
// Attempt rollback
await this.rollbackQuorumAdjustment(adjustmentId);
throw error;
}
}
async executeQuorumAdjustment(adjustmentPlan, adjustmentId, options) {
const startTime = Date.now();
// Phase 1: Prepare nodes for quorum change
await this.prepareNodesForAdjustment(adjustmentPlan.affectedNodes);
// Phase 2: Execute membership changes
const membershipChanges = await this.executeMembershipChanges(
adjustmentPlan.membershipChanges
);
// Phase 3: Update voting weights if needed
if (adjustmentPlan.weightChanges.length > 0) {
await this.updateVotingWeights(adjustmentPlan.weightChanges);
}
// Phase 4: Reconfigure consensus protocol
await this.reconfigureConsensusProtocol(adjustmentPlan.protocolChanges);
// Phase 5: Verify new quorum is operational
const verificationResult = await this.verifyQuorumOperational(adjustmentPlan.newQuorum);
const endTime = Date.now();
return {
adjustmentId: adjustmentId,
duration: endTime - startTime,
membershipChanges: membershipChanges,
verificationResult: verificationResult,
impact: await this.measureAdjustmentImpact(startTime, endTime)
};
}
}class NetworkBasedStrategy {
constructor() {
this.networkAnalyzer = new NetworkAnalyzer();
this.connectivityMatrix = new ConnectivityMatrix();
this.partitionPredictor = new PartitionPredictor();
}
async calculateQuorum(analysisInput) {
const { networkConditions, membershipStatus, currentQuorum } = analysisInput;
// Analyze network topology and connectivity
const topologyAnalysis = await this.analyzeNetworkTopology(membershipStatus.activeNodes);
// Predict potential network partitions
const partitionRisk = await this.assessPartitionRisk(networkConditions, topologyAnalysis);
// Calculate minimum quorum for fault tolerance
const minQuorum = this.calculateMinimumQuorum(
membershipStatus.activeNodes.length,
partitionRisk.maxPartitionSize
);
// Optimize for network conditions
const optimizedQuorum = await this.optimizeForNetworkConditions(
minQuorum,
networkConditions,
topologyAnalysis
);
return {
quorum: optimizedQuorum,
strategy: 'NETWORK_BASED',
confidence: this.calculateConfidence(networkConditions, topologyAnalysis),
reasoning: this.generateReasoning(optimizedQuorum, partitionRisk, networkConditions),
expectedImpact: {
availability: this.estimateAvailabilityImpact(optimizedQuorum),
performance: this.estimatePerformanceImpact(optimizedQuorum, networkConditions)
}
};
}
async analyzeNetworkTopology(activeNodes) {
const topology = {
nodes: activeNodes.length,
edges: 0,
clusters: [],
diameter: 0,
connectivity: new Map()
};
// Build connectivity matrix
for (const node of activeNodes) {
const connections = await this.getNodeConnections(node);
topology.connectivity.set(node.id, connections);
topology.edges += connections.length;
}
// Identify network clusters
topology.clusters = await this.identifyNetworkClusters(topology.connectivity);
// Calculate network diameter
topology.diameter = await this.calculateNetworkDiameter(topology.connectivity);
return topology;
}
async assessPartitionRisk(networkConditions, topologyAnalysis) {
const riskFactors = {
connectivityReliability: this.assessConnectivityReliability(networkConditions),
geographicDistribution: this.assessGeographicRisk(topologyAnalysis),
networkLatency: this.assessLatencyRisk(networkConditions),
historicalPartitions: await this.getHistoricalPartitionData()
};
// Calculate overall partition risk
const overallRisk = this.calculateOverallPartitionRisk(riskFactors);
// Estimate maximum partition size
const maxPartitionSize = this.estimateMaxPartitionSize(
topologyAnalysis,
riskFactors
);
return {
overallRisk: overallRisk,
maxPartitionSize: maxPartitionSize,
riskFactors: riskFactors,
mitigationStrategies: this.suggestMitigationStrategies(riskFactors)
};
}
calculateMinimumQuorum(totalNodes, maxPartitionSize) {
// For Byzantine fault tolerance: need > 2/3 of total nodes
const byzantineMinimum = Math.floor(2 * totalNodes / 3) + 1;
// For network partition tolerance: need > 1/2 of largest connected component
const partitionMinimum = Math.floor((totalNodes - maxPartitionSize) / 2) + 1;
// Use the more restrictive requirement
return Math.max(byzantineMinimum, partitionMinimum);
}
async optimizeForNetworkConditions(minQuorum, networkConditions, topologyAnalysis) {
const optimization = {
baseQuorum: minQuorum,
nodes: new Map(),
totalWeight: 0
};
// Select nodes for quorum based on network position and reliability
const nodeScores = await this.scoreNodesForQuorum(networkConditions, topologyAnalysis);
// Sort nodes by score (higher is better)
const sortedNodes = Array.from(nodeScores.entries())
.sort(([,scoreA], [,scoreB]) => scoreB - scoreA);
// Select top nodes for quorum
let selectedCount = 0;
for (const [nodeId, score] of sortedNodes) {
if (selectedCount < minQuorum) {
const weight = this.calculateNodeWeight(nodeId, score, networkConditions);
optimization.nodes.set(nodeId, {
weight: weight,
score: score,
role: selectedCount === 0 ? 'primary' : 'secondary'
});
optimization.totalWeight += weight;
selectedCount++;
}
}
return optimization;
}
async scoreNodesForQuorum(networkConditions, topologyAnalysis) {
const scores = new Map();
for (const [nodeId, connections] of topologyAnalysis.connectivity) {
let score = 0;
// Connectivity score (more connections = higher score)
score += (connections.length / topologyAnalysis.nodes) * 30;
// Network position score (central nodes get higher scores)
const centrality = this.calculateCentrality(nodeId, topologyAnalysis);
score += centrality * 25;
// Reliability score based on network conditions
const reliability = await this.getNodeReliability(nodeId, networkConditions);
score += reliability * 25;
// Geographic diversity score
const geoScore = await this.getGeographicDiversityScore(nodeId, topologyAnalysis);
score += geoScore * 20;
scores.set(nodeId, score);
}
return scores;
}
calculateNodeWeight(nodeId, score, networkConditions) {
// Base weight of 1, adjusted by score and conditions
let weight = 1.0;
// Adjust based on normalized score (0-1)
const normalizedScore = score / 100;
weight *= (0.5 + normalizedScore);
// Adjust based on network latency
const nodeLatency = networkConditions.nodeLatencies.get(nodeId) || 100;
const latencyFactor = Math.max(0.1, 1.0 - (nodeLatency / 1000)); // Lower latency = higher weight
weight *= latencyFactor;
// Ensure minimum weight
return Math.max(0.1, Math.min(2.0, weight));
}
}class PerformanceBasedStrategy {
constructor() {
this.performanceAnalyzer = new PerformanceAnalyzer();
this.throughputOptimizer = new ThroughputOptimizer();
this.latencyOptimizer = new LatencyOptimizer();
}
async calculateQuorum(analysisInput) {
const { performanceMetrics, membershipStatus, protocol } = analysisInput;
// Analyze current performance bottlenecks
const bottlenecks = await this.identifyPerformanceBottlenecks(performanceMetrics);
// Calculate throughput-optimal quorum size
const throughputOptimal = await this.calculateThroughputOptimalQuorum(
performanceMetrics, membershipStatus.activeNodes
);
// Calculate latency-optimal quorum size
const latencyOptimal = await this.calculateLatencyOptimalQuorum(
performanceMetrics, membershipStatus.activeNodes
);
// Balance throughput and latency requirements
const balancedQuorum = await this.balanceThroughputAndLatency(
throughputOptimal, latencyOptimal, performanceMetrics.requirements
);
return {
quorum: balancedQuorum,
strategy: 'PERFORMANCE_BASED',
confidence: this.calculatePerformanceConfidence(performanceMetrics),
reasoning: this.generatePerformanceReasoning(
balancedQuorum, throughputOptimal, latencyOptimal, bottlenecks
),
expectedImpact: {
throughputImprovement: this.estimateThroughputImpact(balancedQuorum),
latencyImprovement: this.estimateLatencyImpact(balancedQuorum)
}
};
}
async calculateThroughputOptimalQuorum(performanceMetrics, activeNodes) {
const currentThroughput = performanceMetrics.throughput;
const targetThroughput = performanceMetrics.requirements.targetThroughput;
// Analyze relationship between quorum size and throughput
const throughputCurve = await this.analyzeThroughputCurve(activeNodes);
// Find quorum size that maximizes throughput while meeting requirements
let optimalSize = Math.ceil(activeNodes.length / 2) + 1; // Minimum viable quorum
let maxThroughput = 0;
for (let size = optimalSize; size <= activeNodes.length; size++) {
const projectedThroughput = this.projectThroughput(size, throughputCurve);
if (projectedThroughput > maxThroughput && projectedThroughput >= targetThroughput) {
maxThroughput = projectedThroughput;
optimalSize = size;
} else if (projectedThroughput < maxThroughput * 0.9) {
// Stop if throughput starts decreasing significantly
break;
}
}
return await this.selectOptimalNodes(activeNodes, optimalSize, 'THROUGHPUT');
}
async calculateLatencyOptimalQuorum(performanceMetrics, activeNodes) {
const currentLatency = performanceMetrics.latency;
const targetLatency = performanceMetrics.requirements.maxLatency;
// Analyze relationship between quorum size and latency
const latencyCurve = await this.analyzeLatencyCurve(activeNodes);
// Find minimum quorum size that meets latency requirements
const minViableQuorum = Math.ceil(activeNodes.length / 2) + 1;
for (let size = minViableQuorum; size <= activeNodes.length; size++) {
const projectedLatency = this.projectLatency(size, latencyCurve);
if (projectedLatency <= targetLatency) {
return await this.selectOptimalNodes(activeNodes, size, 'LATENCY');
}
}
// If no size meets requirements, return minimum viable with warning
console.warn('No quorum size meets latency requirements');
return await this.selectOptimalNodes(activeNodes, minViableQuorum, 'LATENCY');
}
async selectOptimalNodes(availableNodes, targetSize, optimizationTarget) {
const nodeScores = new Map();
// Score nodes based on optimization target
for (const node of availableNodes) {
let score = 0;
if (optimizationTarget === 'THROUGHPUT') {
score = await this.scoreThroughputCapability(node);
} else if (optimizationTarget === 'LATENCY') {
score = await this.scoreLatencyPerformance(node);
}
nodeScores.set(node.id, score);
}
// Select top-scoring nodes
const sortedNodes = availableNodes.sort((a, b) =>
nodeScores.get(b.id) - nodeScores.get(a.id)
);
const selectedNodes = new Map();
for (let i = 0; i < Math.min(targetSize, sortedNodes.length); i++) {
const node = sortedNodes[i];
selectedNodes.set(node.id, {
weight: this.calculatePerformanceWeight(node, nodeScores.get(node.id)),
score: nodeScores.get(node.id),
role: i === 0 ? 'primary' : 'secondary',
optimizationTarget: optimizationTarget
});
}
return {
nodes: selectedNodes,
totalWeight: Array.from(selectedNodes.values())
.reduce((sum, node) => sum + node.weight, 0),
optimizationTarget: optimizationTarget
};
}
async scoreThroughputCapability(node) {
let score = 0;
// CPU capacity score
const cpuCapacity = await this.getNodeCPUCapacity(node);
score += (cpuCapacity / 100) * 30; // 30% weight for CPU
// Network bandwidth score
const bandwidth = await this.getNodeBandwidth(node);
score += (bandwidth / 1000) * 25; // 25% weight for bandwidth (Mbps)
// Memory capacity score
const memory = await this.getNodeMemory(node);
score += (memory / 8192) * 20; // 20% weight for memory (MB)
// Historical throughput performance
const historicalPerformance = await this.getHistoricalThroughput(node);
score += (historicalPerformance / 1000) * 25; // 25% weight for historical performance
return Math.min(100, score); // Normalize to 0-100
}
async scoreLatencyPerformance(node) {
let score = 100; // Start with perfect score, subtract penalties
// Network latency penalty
const avgLatency = await this.getAverageNodeLatency(node);
score -= (avgLatency / 10); // Subtract 1 point per 10ms latency
// CPU load penalty
const cpuLoad = await this.getNodeCPULoad(node);
score -= (cpuLoad / 2); // Subtract 0.5 points per 1% CPU load
// Geographic distance penalty (for distributed networks)
const geoLatency = await this.getGeographicLatency(node);
score -= (geoLatency / 20); // Subtract 1 point per 20ms geo latency
// Consistency penalty (nodes with inconsistent performance)
const consistencyScore = await this.getPerformanceConsistency(node);
score *= consistencyScore; // Multiply by consistency factor (0-1)
return Math.max(0, score);
}
}class FaultToleranceStrategy {
constructor() {
this.faultAnalyzer = new FaultAnalyzer();
this.reliabilityCalculator = new ReliabilityCalculator();
this.redundancyOptimizer = new RedundancyOptimizer();
}
async calculateQuorum(analysisInput) {
const { membershipStatus, faultToleranceRequirements, networkConditions } = analysisInput;
// Analyze fault scenarios
const faultScenarios = await this.analyzeFaultScenarios(
membershipStatus.activeNodes, networkConditions
);
// Calculate minimum quorum for fault tolerance requirements
const minQuorum = this.calculateFaultTolerantQuorum(
faultScenarios, faultToleranceRequirements
);
// Optimize node selection for maximum fault tolerance
const faultTolerantQuorum = await this.optimizeForFaultTolerance(
membershipStatus.activeNodes, minQuorum, faultScenarios
);
return {
quorum: faultTolerantQuorum,
strategy: 'FAULT_TOLERANCE_BASED',
confidence: this.calculateFaultConfidence(faultScenarios),
reasoning: this.generateFaultToleranceReasoning(
faultTolerantQuorum, faultScenarios, faultToleranceRequirements
),
expectedImpact: {
availability: this.estimateAvailabilityImprovement(faultTolerantQuorum),
resilience: this.estimateResilienceImprovement(faultTolerantQuorum)
}
};
}
async analyzeFaultScenarios(activeNodes, networkConditions) {
const scenarios = [];
// Single node failure scenarios
for (const node of activeNodes) {
const scenario = await this.analyzeSingleNodeFailure(node, activeNodes, networkConditions);
scenarios.push(scenario);
}
// Multiple node failure scenarios
const multiFailureScenarios = await this.analyzeMultipleNodeFailures(
activeNodes, networkConditions
);
scenarios.push(...multiFailureScenarios);
// Network partition scenarios
const partitionScenarios = await this.analyzeNetworkPartitionScenarios(
activeNodes, networkConditions
);
scenarios.push(...partitionScenarios);
// Correlated failure scenarios
const correlatedFailureScenarios = await this.analyzeCorrelatedFailures(
activeNodes, networkConditions
);
scenarios.push(...correlatedFailureScenarios);
return this.prioritizeScenariosByLikelihood(scenarios);
}
calculateFaultTolerantQuorum(faultScenarios, requirements) {
let maxRequiredQuorum = 0;
for (const scenario of faultScenarios) {
if (scenario.likelihood >= requirements.minLikelihoodToConsider) {
const requiredQuorum = this.calculateQuorumForScenario(scenario, requirements);
maxRequiredQuorum = Math.max(maxRequiredQuorum, requiredQuorum);
}
}
return maxRequiredQuorum;
}
calculateQuorumForScenario(scenario, requirements) {
const totalNodes = scenario.totalNodes;
const failedNodes = scenario.failedNodes;
const availableNodes = totalNodes - failedNodes;
// For Byzantine fault tolerance
if (requirements.byzantineFaultTolerance) {
const maxByzantineNodes = Math.floor((totalNodes - 1) / 3);
return Math.floor(2 * totalNodes / 3) + 1;
}
// For crash fault tolerance
return Math.floor(availableNodes / 2) + 1;
}
async optimizeForFaultTolerance(activeNodes, minQuorum, faultScenarios) {
const optimizedQuorum = {
nodes: new Map(),
totalWeight: 0,
faultTolerance: {
singleNodeFailures: 0,
multipleNodeFailures: 0,
networkPartitions: 0
}
};
// Score nodes based on fault tolerance contribution
const nodeScores = await this.scoreFaultToleranceContribution(
activeNodes, faultScenarios
);
// Select nodes to maximize fault tolerance coverage
const selectedNodes = this.selectFaultTolerantNodes(
activeNodes, minQuorum, nodeScores, faultScenarios
);
for (const [nodeId, nodeData] of selectedNodes) {
optimizedQuorum.nodes.set(nodeId, {
weight: nodeData.weight,
score: nodeData.score,
role: nodeData.role,
faultToleranceContribution: nodeData.faultToleranceContribution
});
optimizedQuorum.totalWeight += nodeData.weight;
}
// Calculate fault tolerance metrics for selected quorum
optimizedQuorum.faultTolerance = await this.calculateFaultToleranceMetrics(
selectedNodes, faultScenarios
);
return optimizedQuorum;
}
async scoreFaultToleranceContribution(activeNodes, faultScenarios) {
const scores = new Map();
for (const node of activeNodes) {
let score = 0;
// Independence score (nodes in different failure domains get higher scores)
const independenceScore = await this.calculateIndependenceScore(node, activeNodes);
score += independenceScore * 40;
// Reliability score (historical uptime and performance)
const reliabilityScore = await this.calculateReliabilityScore(node);
score += reliabilityScore * 30;
// Geographic diversity score
const diversityScore = await this.calculateDiversityScore(node, activeNodes);
score += diversityScore * 20;
// Recovery capability score
const recoveryScore = await this.calculateRecoveryScore(node);
score += recoveryScore * 10;
scores.set(node.id, score);
}
return scores;
}
selectFaultTolerantNodes(activeNodes, minQuorum, nodeScores, faultScenarios) {
const selectedNodes = new Map();
const remainingNodes = [...activeNodes];
// Greedy selection to maximize fault tolerance coverage
while (selectedNodes.size < minQuorum && remainingNodes.length > 0) {
let bestNode = null;
let bestScore = -1;
let bestIndex = -1;
for (let i = 0; i < remainingNodes.length; i++) {
const node = remainingNodes[i];
const additionalCoverage = this.calculateAdditionalFaultCoverage(
node, selectedNodes, faultScenarios
);
const combinedScore = nodeScores.get(node.id) + (additionalCoverage * 50);
if (combinedScore > bestScore) {
bestScore = combinedScore;
bestNode = node;
bestIndex = i;
}
}
if (bestNode) {
selectedNodes.set(bestNode.id, {
weight: this.calculateFaultToleranceWeight(bestNode, nodeScores.get(bestNode.id)),
score: nodeScores.get(bestNode.id),
role: selectedNodes.size === 0 ? 'primary' : 'secondary',
faultToleranceContribution: this.calculateFaultToleranceContribution(bestNode)
});
remainingNodes.splice(bestIndex, 1);
} else {
break; // No more beneficial nodes
}
}
return selectedNodes;
}
}// Store quorum configuration and history
await this.mcpTools.memory_usage({
action: 'store',
key: `quorum_config_${this.nodeId}`,
value: JSON.stringify({
currentQuorum: Array.from(this.currentQuorum.entries()),
strategy: this.activeStrategy,
networkConditions: this.lastNetworkAnalysis,
adjustmentHistory: this.quorumHistory.slice(-10)
}),
namespace: 'quorum_management',
ttl: 3600000 // 1 hour
});
// Coordinate with swarm for membership changes
const swarmStatus = await this.mcpTools.swarm_status({
swarmId: this.swarmId
});
await this.mcpTools.coordination_sync({
swarmId: this.swarmId
});// Track quorum adjustment performance
await this.mcpTools.metrics_collect({
components: [
'quorum_adjustment_latency',
'consensus_availability',
'fault_tolerance_coverage',
'network_partition_recovery_time'
]
});
// Neural learning for quorum optimization
await this.mcpTools.neural_patterns({
action: 'learn',
operation: 'quorum_optimization',
outcome: JSON.stringify({
adjustmentType: adjustment.strategy,
performanceImpact: measurementResults,
networkConditions: currentNetworkState,
faultToleranceImprovement: faultToleranceMetrics
})
});// Orchestrate complex quorum adjustments
await this.mcpTools.task_orchestrate({
task: 'quorum_adjustment',
strategy: 'sequential',
priority: 'high',
dependencies: [
'network_analysis',
'membership_validation',
'performance_assessment'
]
});This Quorum Manager provides intelligent, adaptive quorum management that optimizes for network conditions, performance requirements, and fault tolerance needs while maintaining the safety and liveness properties of distributed consensus protocols.
© ruvnet, MIT. Rendered from Markdown: HTML in the file is shown as text, images as links, and headings moved down two levels. Raw file
Just SKILL.md in .agents/skills/agent-quorum-manager of ruvnet/ruflo.
Open the folder on GitHubat commit 6051f67
We found 3 copies of this SKILL.md (exact, near-identical or edited) in other folders, from 3 other GitHub owners. This page covers the copy in ruvnet/ruflo, which our catalogue first saw on October 7, 2026.
Agent Quorum Manager next to the 5 skills that share the most tags, products or categories with it. Stars are the repository's; “used in” counts other GitHub owners with a copy.
| Skill | Stars | Used in | Tokens | Auto-check | Licence | Repo updated |
|---|---|---|---|---|---|---|
| Agent Quorum Manager this skillruvnet/ruflo | 74k | 3 repos | ~7k | Automated safety check: Pass | MIT | |
| Create Invoke TaskDataDog/datadog-agent | 3.8k | — | ~606 | Automated safety check: Notes | Apache-2.0 | |
| QuorumDetrol/quorum-cli | 119 | — | ~807 | Automated safety check: Notes | Custom licence | |
| Golem Invoke Agent Moonbitgolemcloud/golem | 1.5k | — | ~1.4k | Automated safety check: Pass | Custom licence | |
| Golem Invoke Agent Rustgolemcloud/golem | 1.5k | — | ~1.4k | Automated safety check: Pass | Custom licence | |
| Golem Invoke Agent Scalagolemcloud/golem | 1.5k | — | ~1.4k | Automated safety check: Pass | Custom licence |
DataDog/datadog-agent
Create a new Python invoke task for the dda CLI. An agent skill from DataDog/datadog-agent.
Detrol/quorum-cli
Run a structured debate between agent CLIs (claude, codex, agy, grok) and the user's configured API or local models (OpenAI, Anthropic, Google, xAI, OpenRouter, Ollama and more) through the Quorum…
golemcloud/golem
Invoking a MoonBit Golem agent method from the CLI. An agent skill from golemcloud/golem.
golemcloud/golem
Invoking a Rust Golem agent method from the CLI. An agent skill from golemcloud/golem.
golemcloud/golem
Invoking a Scala Golem agent method from the CLI. An agent skill from golemcloud/golem.
golemcloud/golem
Invoking a TypeScript Golem agent method from the CLI. An agent skill from golemcloud/golem.
ruvnet/ruflo
Stores, searches, and retrieves successful patterns with HNSW-indexed semantic search so agents can reuse past solutions instead of relearning them.
ruvnet/ruflo
Runs claude-flow CLI security scans for input validation, path traversal, SQL injection, XSS, hardcoded secrets and known CVEs, and writes an audit report.
ruvnet/ruflo
Applies the SPARC method (specification, pseudocode, architecture, refinement, completion) with 17 specialized modes and multi-agent orchestration, from research to deployment.
ruvnet/ruflo
Coordinates a hierarchical swarm of specialized agents through the claude-flow CLI for work that spans several files or modules at once.
ruvnet/ruflo
Sets up and drives Ruflo, an npm-installed orchestration layer for multi-agent swarms, persistent memory, routing, hooks and its MCP tool catalog.
ruvnet/ruflo
Reference for spawning, listing, monitoring and stopping agents with claude-flow commands, with agent type families, routing codes and coordination tips.
Agent skill for quorum-manager - invoke with $agent-quorum-manager. Agent Quorum Manager is an agent skill from ruvnet/ruflo.
Run `npx skills add ruvnet/ruflo --skill agent-quorum-manager -a claude-code`. Or copy the skill folder (.agents/skills/agent-quorum-manager in ruvnet/ruflo) into .claude/skills/agent-quorum-manager in your project. Claude Code loads it when a task matches its description.
Run `npx skills add ruvnet/ruflo --skill agent-quorum-manager -a codex`. Or copy the skill folder (.agents/skills/agent-quorum-manager in ruvnet/ruflo) into .agents/skills/agent-quorum-manager in your project. Codex loads it when a task matches its description.
Cursor, Gemini CLI, GitHub Copilot and OpenCode also load SKILL.md folders. With the skills CLI, run `npx skills add ruvnet/ruflo --skill agent-quorum-manager -a cursor` (or -a gemini-cli, github-copilot or opencode for the others). To copy it by hand, put the folder in .cursor/skills/agent-quorum-manager, .gemini/skills/agent-quorum-manager, .github/skills/agent-quorum-manager and .opencode/skills/agent-quorum-manager in your project.
SKILL.md names no scripts, command-line tools or credentials: Agent Quorum Manager is instructions for the agent only.
SKILL.md contains no URLs. Any network use would come from the scripts or tools the agent runs. This is read from the text; nothing was executed.
Our automated static check of SKILL.md found no risky patterns, such as piping downloads into a shell, reading credential files or hidden Unicode. It is not a guarantee. Review the folder before installing.
Agent Quorum Manager is published under the MIT licence (the repository's licence). It allows redistribution, so the full SKILL.md is shown on this page.
About 7k tokens (SKILL.md is roughly 28k characters). Agents keep only the skill's name and description in context until a task matches; then they load SKILL.md in full.
Skills that share tags, products or a category with Agent Quorum Manager: Create Invoke Task (DataDog/datadog-agent, 3.8k stars), Quorum (Detrol/quorum-cli, 119 stars), Golem Invoke Agent Moonbit (golemcloud/golem, 1.5k stars) and Golem Invoke Agent Rust (golemcloud/golem, 1.5k stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.
ruvnet (a GitHub user) maintains it in ruvnet/ruflo, which has 74,089 GitHub stars. The repository holds 264 skills in this directory. The repository was last updated on October 8, 2026.
Source: ruvnet/ruflo on GitHub. Facts on this page come from the repository at the commit we read; the author's words are quoted as theirs.