agentic-qe: Skill for Claude Code

.agents/skills/ruflo/.agents/skills/agent-collective-intelligence-coordinator/SKILL.md

agent-collective-intelligence-coordinator is a skill for Claude Code from proffesor-for-testing/agentic-qe. It costs 29 tokens per session (878 once invoked), scanned A, a copy of agent-collective-intelligence-coordinator, MIT.

An agent-coordination role for synchronizing shared memory and guiding several software agents toward a common decision.

In plain words
What is it for?
Use it to track the collective state of agents, synchronize their memory, and coordinate decision-making across a distributed workflow.
Why use it?
It addresses the problem of agents working with separate or inconsistent information during a shared task.

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.

This is proffesor-for-testing/agentic-qe's own configuration. It tells Claude Code how to work on agentic-qe itself, so it is not a mod to install elsewhere. Copy it as a starting point and replace the rules that are about this project. Everything agentic-qe configures →

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

Reuse

Borrowing it

Nothing to install: this file belongs to proffesor-for-testing/agentic-qe. Take a copy, put it at the same path in your own repository, and replace the rules that are about this project with yours.

Copy the file
curl -O https://raw.githubusercontent.com/proffesor-for-testing/agentic-qe/main/.agents/skills/ruflo/.agents/skills/agent-collective-intelligence-coordinator/SKILL.md
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-collective-intelligence-coordinator

README.md
[![agentmods](https://agentmods.dev/badge/skills/proffesor-for-testing/agentic-qe/agent-collective-intelligence-coordinator.svg)](https://agentmods.dev/skills/proffesor-for-testing/agentic-qe/agent-collective-intelligence-coordinator)
Your own site
<a href="https://agentmods.dev/skills/proffesor-for-testing/agentic-qe/agent-collective-intelligence-coordinator"><img src="https://agentmods.dev/badge/skills/proffesor-for-testing/agentic-qe/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 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 $0.00029 $0.00878
Opus 5 $0.00015 $0.00439
Sonnet 5 $0.00006 $0.00176
Haiku 4.5 $0.00003 $0.00088

Measured 8d ago against content hash b730fd9bf8fc, method: parsed. Prices are Anthropic first-party input rates as of 2026-09-07, 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 8d 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-collective-intelligence-coordinator — 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-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. 8d 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 proffesor-for-testing/agentic-qe (475 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. It is 100% identical to agent-collective-intelligence-coordinator, differing in 0 lines, and is treated as a copy.

Related

Other skills, from other repositories

hindsight-local

Store user preferences, learnings from tasks, and procedure outcomes. Use to remember what works and recall context before new tasks. (user).

vectorize-io/hindsight · 32 tokens

sl_capture

How to capture new reusable patterns into ktx's semantic layer - when a measure, segment, or join belongs in the catalog and how to write it generically so it stays small and useful over time. Loaded by the post-turn memory-agent only. The research agent does not write to the SL.

Kaelio/ktx · 63 tokens

remember

Stores decisions, patterns, and outcomes in the MCP memory knowledge graph as entities with typed observations and relations. Supports recording architectural decisions, anti-patterns, tool preferences, workflow outcomes, and project conventions that persist across sessions. Use when saving patterns, remembering…

yonatangross/orchestkit · 62 tokens

memory-md-management

Provides comprehensive memory file management capabilities including auditing, quality assessment, and targeted improvements for files such as CLAUDE.md. Use when user asks to check, audit, update, improve, fix, maintain, or validate project memory files. Also triggers for "project memory optimization", "CLAUDE.md…

giuseppe-trisciuoglio/developer-kit · 113 tokens

authoring-claude-md

Creating and maintaining CLAUDE.md project memory files and .claude/rules/ rule files that provide non-obvious codebase context. Use when (1) creating a new CLAUDE.md for a project, (2) adding architectural patterns or design decisions to existing CLAUDE.md, (3) capturing project-specific conventions that aren't…

sammcj/agentic-coding · 93 tokens

lat-md-knowledge-graph

Design or audit a repo-local markdown knowledge graph with wiki links, source-code backlinks, drift checks, and searchable sections. Use when AGENTS.md/CLAUDE.md is too flat for a large codebase or when a custom harness needs durable structured project memory.

stevesolun/ctx · 60 tokens