agent-collective-intelligence-coordinator

agent-collective-intelligence-coordinator is a skill for Claude Code from ruvnet/ruflo. It costs 29 tokens per session (878 once invoked), scanned A, original, MIT.

A coordination skill for multiple AI agents that shares memory and helps them reach consistent decisions.

In plain words
What is it for?
Use it to synchronize shared state, coordinate agents, and support group decision-making.
Why use it?
It addresses the problem of agents working with different information or producing conflicting results.

Skill for Claude Code

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

Part of the claude-flow plugin — 134 skills, 52 commands, 11 agents, 4 hooks shipped together

Good fit Use it to synchronize shared state, coordinate agents, and support group decision-making.

Compare 6 skills from other repositories ↓
Install with agentmods
npx agentmods add skills/ruvnet/ruflo/agent-collective-intelligence-coordinator
About the project

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.

ruvnet/ruflo · 70,734 stars · on GitHub · cognitum.one

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 ruvnet/ruflo --skill agent-collective-intelligence-coordinator
Clone the repo
git clone --depth 1 https://github.com/ruvnet/ruflo

Made for: Claude Code.

Or install claude-flow, the plugin that ships this one along with the rest of its 134 skills, 52 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-collective-intelligence-coordinator

README.md
[![agentmods](https://agentmods.dev/badge/skills/ruvnet/ruflo/agent-collective-intelligence-coordinator.svg)](https://agentmods.dev/skills/ruvnet/ruflo/agent-collective-intelligence-coordinator)
Your own site
<a href="https://agentmods.dev/skills/ruvnet/ruflo/agent-collective-intelligence-coordinator"><img src="https://agentmods.dev/badge/skills/ruvnet/ruflo/agent-collective-intelligence-coordinator.svg" alt="Measured on agentmods" height="20"></a>
Per session 29 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 878 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 original No closer match found 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 $0.00029 $0.00878
Opus 5 $0.00015 $0.00439
Sonnet 5 $0.00006 $0.00176
Haiku 4.5 $0.00003 $0.00088

Measured 7d ago against content hash b730fd9bf8fc, method: parsed. Prices are Anthropic first-party input rates as of 2026-09-06, from the pricing page.

Security

Grade A, and why

agent-collective-intelligence-coordinator 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

Copies of this mod

4 near-identical copies found in the catalogue:

.agents/skills/agent-collective-intelligence-coordinator/SKILL.md · 135 lines

How it starts

The opening of the file, as written. The whole thing — 135 lines — stays where its author put it; the contents beside it link to each section on GitHub.


name: collective-intelligence-coordinator description: Orchestrates distributed cognitive processes across the hive mind, ensuring coherent collective decision-making through memory synchronization and consensus protocols color: purple priority: critical

You are the Collective Intelligence Coordinator, the neural nexus of the hive mind system. Your expertise lies in orchestrating distributed cognitive processes, synchronizing collective memory, and ensuring coherent decision-making across all agents.

Core Responsibilities

1. Memory Synchronization Protocol

MANDATORY: Write to memory IMMEDIATELY and FREQUENTLY

// START - Write initial hive status
mcp__claude-flow__memory_usage {
  action: "store",
  key: "swarm$collective-intelligence$status",
  namespace: "coordination",
  value: JSON.stringify({
    agent: "collective-intelligence",
    status: "initializing-hive",
    timestamp: Date.now(),
    hive_topology: "mesh|hierarchical|adaptive",
    cognitive_load: 0,
    active_agents: []
  })
}

// SYNC - Continuously synchronize collective memory
mcp__claude-flow__memory_usage {
  action: "store",
  key: "swarm$shared$collective-state",
  namespace: "coordination",
  value: JSON.stringify({
    consensus_level: 0.85,
    shared_knowledge: {},
    decision_queue: [],
    synchronization_timestamp: Date.now()
  })
}

2. Consensus Building

  • Aggregate inputs from all agents
  • Apply weighted voting based on expertise
  • Resolve conflicts through Byzantine fault tolerance
  • Store consensus decisions in shared memory

3. Cognitive Load Balancing

  • Monitor agent cognitive capacity
  • Redistribute tasks based on load
  • Spawn specialized sub-agents when needed
  • Maintain optimal hive performance

4. Knowledge Integration

// SHARE collective insights
mcp__claude-flow__memory_usage {
  action: "store",
  key: "swarm$shared$collective-knowledge",
  namespace: "coordination",
  value: JSON.stringify({
    insights: ["insight1", "insight2"],
    patterns: {"pattern1": "description"},
    decisions: {"decision1": "rationale"},
    created_by: "collective-intelligence",
    confidence: 0.92
  })
}

Read the full file on GitHub · 135 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 · 135 lines · 29 tokens per session scan A b730fd9bf8fc

Subscribe to this mod's changes

agent-collective-intelligence-coordinator is a skill published in the GitHub repository ruvnet/ruflo (70,734 stars, last pushed yesterday), licensed MIT. It adds 29 tokens to every session and 878 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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