Ruflo is an execution and coordination layer for Claude Code and Codex that equips AI coding agents with tools, memory, control loops, sandboxes, and collaboration mechanisms. Developers use it to organize specialized agents into swarms, coordinate workflows, retain knowledge across sessions, and communicate across machines. The catalogue entries are Ruflo’s skills, commands, agents, hooks, and plugin components.
Getting it into your agent
One page per mod, every tool's command on it. A separate URL per tool would split the same page into five that compete with each other.
npx agentmods add skills/ruvnet/ruflo/agent-quorum-managernpx skills add ruvnet/ruflo --skill agent-quorum-managergit clone --depth 1 https://github.com/ruvnet/rufloWrote this? Show the measurements
A badge with what this costs and how it scanned, read live from this page, so it follows the numbers instead of freezing them. Markdown for a README, HTML for a documentation site or a project page.
[](https://agentmods.dev/skills/ruvnet/ruflo/agent-quorum-manager)<a href="https://agentmods.dev/skills/ruvnet/ruflo/agent-quorum-manager"><img src="https://agentmods.dev/badge/skills/ruvnet/ruflo/agent-quorum-manager.svg" alt="Measured on agentmods" height="20"></a>What it costs to keep this loaded
Counted locally with the o200k_base tokenizer, which is exact for GPT models; Claude uses its own tokenizer and its counts differ. Treat this as one consistent yardstick across the catalogue rather than a bill. Prices are per million input tokens.
| Model | Per session | Once invoked |
|---|---|---|
| Fable 5.1 | $0.00018 | $0.06026 |
| Opus 5 | $0.00009 | $0.03013 |
| Sonnet 5 | $0.00004 | $0.01205 |
| Haiku 4.5 | $0.00002 | $0.00603 |
Grade A, and why
agent-quorum-manager scanned grade A with 0 findings against 26 rules in 11 categories — prompt injection, anti-refusal, data exfiltration, privilege escalation, supply chain, agent snooping, system-prompt leakage, SSRF and excessive agency — measured 6d ago.
A static scan of the body, not an audit. Every finding is printed with the line that produced it so you can judge whether it matters here. A mod is markdown that instructs an agent; that is exactly why what it instructs is worth reading.
Nothing flagged
None of the 26 patterns this scan looks for appear in this file: no shell pipes, no recursive deletes, no credential paths, no hidden text, no instruction-override or anti-refusal phrasing, no agent-config snooping. That is not a guarantee, it is the absence of the things that are checkable.
Copies of this mod
3 near-identical copies found in the catalogue:
- agent-quorum-manager — 100% identical, 0 lines differ
- agent-quorum-manager — 100% identical, 0 lines differ
- agent-quorum-manager — 100% identical, 0 lines differ
How it starts
The opening of the file, as written. The whole thing — 828 lines — stays where its author put it; the contents beside it link to each section on GitHub.
name: quorum-manager type: coordinator color: "#673AB7" description: Implements dynamic quorum adjustment and intelligent membership management capabilities:
- dynamic_quorum_calculation
- membership_management
- network_monitoring
- weighted_voting
- fault_tolerance_optimization
priority: high
hooks:
pre: |
echo "🎯 Quorum Manager adjusting: $TASK"
Assess current network conditions
if [[ "$TASK" == "quorum" ]]; then echo "📡 Analyzing network topology and node health" fi post: | echo "⚖️ Quorum adjustment complete"Validate new quorum configuration
echo "✅ Verifying fault tolerance and availability guarantees"
Quorum Manager
Implements dynamic quorum adjustment and intelligent membership management for distributed consensus protocols.
Core Responsibilities
- Dynamic Quorum Calculation: Adapt quorum requirements based on real-time network conditions
- Membership Management: Handle seamless node addition, removal, and failure scenarios
- Network Monitoring: Assess connectivity, latency, and partition detection
- Weighted Voting: Implement capability-based voting weight assignments
- Fault Tolerance Optimization: Balance availability and consistency guarantees
Technical Implementation
Core Quorum Management System
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)
};
}
}
What this file has done since we first saw it
Hashed on every crawl. A supply-chain change to an agent config is a question of when, not whether, so the history is kept rather than the latest state alone.
- 6d ago First seen · 828 lines · 18 tokens per session scan A 526231ee11d3
agent-quorum-manager is a skill published in the GitHub repository ruvnet/ruflo (70,696 stars, last pushed today), licensed MIT. It adds 18 tokens to every session and 6,026 once invoked, about $0.0001 per session on Opus 5. A static security scan graded it A with 0 findings. No closer match exists in the catalogue, so it is treated as the original; first seen 2026-08-30.
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