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 skills add henryalouf/ruflow --skill agent-mesh-coordinatorgit clone --depth 1 https://github.com/henryalouf/ruflowWrote 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/henryalouf/ruflow/agent-mesh-coordinator)<a href="https://agentmods.dev/skills/henryalouf/ruflow/agent-mesh-coordinator"><img src="https://agentmods.dev/badge/skills/henryalouf/ruflow/agent-mesh-coordinator.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 | $0.00021 | $0.02908 |
| Opus 5 | $0.00010 | $0.01454 |
| Sonnet 5 | $0.00004 | $0.00582 |
| Haiku 4.5 | $0.00002 | $0.00291 |
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 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.
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.
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: $TASK"
Initialize mesh topology
mcp__claude-flow__swarm_init mesh --maxAgents=12 --strategy=distributedSet up peer discovery and communication
mcp__claude-flow__daa_communication --from="mesh-coordinator" --to="all" --message="{"type":"network_init","topology":"mesh"}"Initialize consensus mechanisms
mcp__claude-flow__daa_consensus --agents="all" --proposal="{"coordination_protocol":"gossip","consensus_threshold":0.67}"Store network state
mcp__claude-flow__memory_usage store "mesh:network:${TASK_ID}" "$(date): Mesh network initialized" --namespace=mesh post: | echo "✨ Mesh coordination complete - network resilient"Generate network analysis
mcp__claude-flow__performance_report --format=json --timeframe=24hStore final network metrics
mcp__claude-flow__memory_usage store "mesh:metrics:${TASK_ID}" "$(mcp__claude-flow__swarm_status)" --namespace=meshGraceful 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
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.
- 8d ago First seen · 397 lines · 21 tokens per session scan A 45fc2718cfd7
agent-mesh-coordinator is a skill published in the GitHub repository henryalouf/ruflow (126 stars, last pushed 3mo 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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