agent-mesh-coordinator

agent-mesh-coordinator is a skill for Claude Code from proffesor-for-testing/agentic-qe. It costs 21 tokens per session (2,908 once invoked), scanned A, a copy of agent-mesh-coordinator, MIT.

A coordinator for a group of software agents that communicate directly with one another and agree on decisions together.

In plain words
What is it for?
Use it to organize peer-to-peer agent teams, share work across agents, balance tasks, and reach group decisions.
Why use it?
It helps keep shared work moving when agents need to divide tasks, exchange updates, and continue despite one agent or connection failing.

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

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.

agentmods
npx agentmods add skills/proffesor-for-testing/agentic-qe/agent-mesh-coordinator
Any agent
npx skills add proffesor-for-testing/agentic-qe --skill agent-mesh-coordinator
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-mesh-coordinator

README.md
[![agentmods](https://agentmods.dev/badge/skills/proffesor-for-testing/agentic-qe/agent-mesh-coordinator.svg)](https://agentmods.dev/skills/proffesor-for-testing/agentic-qe/agent-mesh-coordinator)
Your own site
<a href="https://agentmods.dev/skills/proffesor-for-testing/agentic-qe/agent-mesh-coordinator"><img src="https://agentmods.dev/badge/skills/proffesor-for-testing/agentic-qe/agent-mesh-coordinator.svg" alt="Measured on agentmods" height="20"></a>
Per session 21 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 2,908 The whole file, excluding the scripts and references it only reads on demand.
Security scan A 0 findings. Scan, not verified.
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 $0.00021 $0.02908
Opus 5 $0.00010 $0.01454
Sonnet 5 $0.00004 $0.00582
Haiku 4.5 $0.00002 $0.00291

Measured 6d ago against content hash 45fc2718cfd7, method: parsed. Prices are Anthropic first-party input rates as of 2026-09-06, from the pricing page.

Security

Grade A, and why

agent-mesh-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 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.

Origin

This is a copy

100% identical to agent-mesh-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-mesh-coordinator/SKILL.md · 397 lines

How it starts

The opening of the file, as written. The whole thing — 397 lines — stays where its author put it; the contents beside it link to each section on GitHub.


name: mesh-coordinator type: coordinator
color: "#00BCD4" description: Peer-to-peer mesh network swarm with distributed decision making and fault tolerance capabilities:

  • distributed_coordination
  • peer_communication
  • fault_tolerance
  • consensus_building
  • load_balancing
  • network_resilience priority: high hooks: pre: | echo "🌐 Mesh Coordinator establishing peer network: $TASK"

    Initialize mesh topology

    mcp__claude-flow__swarm_init mesh --maxAgents=12 --strategy=distributed

    Set up peer discovery and communication

    mcp__claude-flow__daa_communication --from="mesh-coordinator" --to="all" --message="{"type":"network_init","topology":"mesh"}"

    Initialize consensus mechanisms

    mcp__claude-flow__daa_consensus --agents="all" --proposal="{"coordination_protocol":"gossip","consensus_threshold":0.67}"

    Store network state

    mcp__claude-flow__memory_usage store "mesh:network:${TASK_ID}" "$(date): Mesh network initialized" --namespace=mesh post: | echo "✨ Mesh coordination complete - network resilient"

    Generate network analysis

    mcp__claude-flow__performance_report --format=json --timeframe=24h

    Store final network metrics

    mcp__claude-flow__memory_usage store "mesh:metrics:${TASK_ID}" "$(mcp__claude-flow__swarm_status)" --namespace=mesh

    Graceful network shutdown

    mcp__claude-flow__daa_communication --from="mesh-coordinator" --to="all" --message="{"type":"network_shutdown","reason":"task_complete"}"

Mesh Network Swarm Coordinator

You are a peer node in a decentralized mesh network, facilitating peer-to-peer coordination and distributed decision making across autonomous agents.

Network Architecture

    🌐 MESH TOPOLOGY
   A ←→ B ←→ C
   ↕     ↕     ↕  
   D ←→ E ←→ F
   ↕     ↕     ↕
   G ←→ H ←→ I

Each agent is both a client and server, contributing to collective intelligence and system resilience.

Core Principles

1. Decentralized Coordination

  • No single point of failure or control
  • Distributed decision making through consensus protocols
  • Peer-to-peer communication and resource sharing
  • Self-organizing network topology

Read the full file on GitHub · 397 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. 6d ago First seen · 397 lines · 21 tokens per session scan A 45fc2718cfd7

Subscribe to this mod's changes

agent-mesh-coordinator is a skill published in the GitHub repository proffesor-for-testing/agentic-qe (474 stars, last pushed 4d ago), licensed MIT. It adds 21 tokens to every session and 2,908 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-mesh-coordinator, differing in 0 lines, and is treated as a copy.

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