agent-quorum-manager

agent-quorum-manager is a skill for Claude Code from proffesor-for-testing/agentic-qe. It costs 18 tokens per session (6,026 once invoked), scanned A, a copy of agent-quorum-manager, MIT.

A coordinator for distributed systems that adjusts how many machines must agree before the system accepts a decision. Distributed systems run across multiple connected machines, which may fail or lose contact with one another.

In plain words
What is it for?
Use it to calculate quorum requirements, manage members, monitor network health, assign weighted votes and check fault tolerance.
Why use it?
It helps balance continued operation with reliable agreement when machines fail, network delays occur or the group of machines changes.

Skill for Claude Code

Written for Claude Code: shipped in a Claude Code plugin. Also seen: installed under .agents/ (shared by several agents); $skill-name invocation.

Part of the claude-flow plugin — 134 skills, 46 commands, 11 agents, 4 hooks shipped together

Good fit Use it to calculate quorum requirements, manage members, monitor network health, assign…

Compare 6 skills from other repositories ↓
Install with agentmods
npx agentmods add skills/proffesor-for-testing/agentic-qe/agent-quorum-manager
Install

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.

Any agent
npx skills add proffesor-for-testing/agentic-qe --skill agent-quorum-manager
Clone the repo
git clone --depth 1 https://github.com/proffesor-for-testing/agentic-qe

Made for: Claude Code.

Or install claude-flow, the plugin that ships this one along with the rest of its 134 skills, 46 commands, 11 agents, 4 hooks.

Wrote 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.

agentmods badge for agent-quorum-manager

README.md
[![agentmods](https://agentmods.dev/badge/skills/proffesor-for-testing/agentic-qe/agent-quorum-manager.svg)](https://agentmods.dev/skills/proffesor-for-testing/agentic-qe/agent-quorum-manager)
Your own site
<a href="https://agentmods.dev/skills/proffesor-for-testing/agentic-qe/agent-quorum-manager"><img src="https://agentmods.dev/badge/skills/proffesor-for-testing/agentic-qe/agent-quorum-manager.svg" alt="Measured on agentmods" height="20"></a>
Per session 18 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 6,026 The whole file, excluding the scripts and references it only reads on demand.
Security scan A 0 findings. A grade says what 26 rules found in the file — not that it is safe.
Origin 100% copy Near-identical to another mod in the catalogue.
Token cost

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.

ModelPer sessionOnce 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

Measured 7d ago against content hash 526231ee11d3, method: parsed. Prices are Anthropic first-party input rates as of 2026-09-06, from the pricing page.

Security

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 7d 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.

Origin

This is a copy

100% identical to agent-quorum-manager — 0 lines differ, which has more behind it and is treated as the original. This page carries a canonical link to it rather than competing with it.

.agents/skills/ruflo/.agents/skills/agent-quorum-manager/SKILL.md · 828 lines

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

  1. Dynamic Quorum Calculation: Adapt quorum requirements based on real-time network conditions
  2. Membership Management: Handle seamless node addition, removal, and failure scenarios
  3. Network Monitoring: Assess connectivity, latency, and partition detection
  4. Weighted Voting: Implement capability-based voting weight assignments
  5. 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)
    };
  }
}

Read the full file on GitHub · 828 lines

Changes

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.

  1. 7d ago First seen · 828 lines · 18 tokens per session scan A 526231ee11d3

Subscribe to this mod's changes

agent-quorum-manager is a skill published in the GitHub repository proffesor-for-testing/agentic-qe (474 stars, last pushed 5d ago), 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. It is 100% identical to agent-quorum-manager, differing in 0 lines, and is treated as a copy.

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