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.
Borrowing it
Nothing to install: this file belongs to ruvnet/ruflo. Take a copy, put it at the same path in your own repository, and replace the rules that are about this project with yours.
curl -O https://raw.githubusercontent.com/ruvnet/ruflo/main/.agents/skills/flow-nexus-swarm/SKILL.mdgit clone --depth 1 https://github.com/ruvnet/rufloWrote 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/ruvnet/ruflo/flow-nexus-swarm)<a href="https://agentmods.dev/skills/ruvnet/ruflo/flow-nexus-swarm"><img src="https://agentmods.dev/badge/skills/ruvnet/ruflo/flow-nexus-swarm/github.svg" alt="Measured on agentmods" height="20"></a>Or the 80×15 button, for a site that already has a row of RSS and ATOM ones. Only the verdict fits; the numbers stay here.
<a href="https://agentmods.dev/skills/ruvnet/ruflo/flow-nexus-swarm"><img src="https://agentmods.dev/badge/skills/ruvnet/ruflo/flow-nexus-swarm.svg" alt="Reviewed on agentmods" width="80" height="20"></a>- Socket warn
- Snyk warn
- NVIDIA SkillSpector warn
SkillSpector: 5 findings, up to medium
These are SkillSpector’s own severities. On a checked sample its high-severity flags on skills were ~96% false positives — a documented command, a public API, a “never do X” rule — so we show them as a caution to read, not a verdict. Why →
- medium MCP Rug Pull · line 593 npx commands without a version suffix (e.g. @1.0.0) create a rug-pull risk if the upstream server is compromised and publishes a malicious update.Fix: Pin the version: npx @scope/[email protected]
- medium MCP Rug Pull · line 596 npx commands without a version suffix (e.g. @1.0.0) create a rug-pull risk if the upstream server is compromised and publishes a malicious update.Fix: Pin the version: npx @scope/[email protected]
- medium MCP Rug Pull · line 599 npx commands without a version suffix (e.g. @1.0.0) create a rug-pull risk if the upstream server is compromised and publishes a malicious update.Fix: Pin the version: npx @scope/[email protected]
- medium MCP Rug Pull · line 553 npx commands without a version suffix (e.g. @1.0.0) create a rug-pull risk if the upstream server is compromised and publishes a malicious update.Fix: Pin the version: npx @scope/[email protected]
- medium MCP Rug Pull · line 556 npx commands without a version suffix (e.g. @1.0.0) create a rug-pull risk if the upstream server is compromised and publishes a malicious update.Fix: Pin the version: npx @scope/[email protected]
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 | $0.00020 | $0.04226 |
| Opus 5 | $0.00010 | $0.02113 |
| Sonnet 5 | $0.00004 | $0.00845 |
| Haiku 4.5 | $0.00002 | $0.00423 |
Grade A, and why
flow-nexus-swarm 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.
Copies of this mod
5 near-identical copies found in the catalogue:
- flow-nexus-swarm — 100% identical, 6 lines differ
- flow-nexus-swarm — 100% identical, 6 lines differ
- flow-nexus-swarm — 100% identical, 6 lines differ
- flow-nexus-swarm — 100% identical, 0 lines differ
- flow-nexus-swarm — 100% identical, 0 lines differ
How it starts
The opening of the file, as written. The whole thing — 611 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Flow Nexus Swarm & Workflow Orchestration
Deploy and manage cloud-based AI agent swarms with event-driven workflow automation, message queue processing, and intelligent agent coordination.
📋 Table of Contents
- Overview
- Swarm Management
- Workflow Automation
- Agent Orchestration
- Templates & Patterns
- Advanced Features
- Best Practices
Overview
Flow Nexus provides cloud-based orchestration for AI agent swarms with:
- Multi-topology Support: Hierarchical, mesh, ring, and star architectures
- Event-driven Workflows: Message queue processing with async execution
- Template Library: Pre-built swarm configurations for common use cases
- Intelligent Agent Assignment: Vector similarity matching for optimal agent selection
- Real-time Monitoring: Comprehensive metrics and audit trails
- Scalable Infrastructure: Cloud-based execution with auto-scaling
Swarm Management
Initialize Swarm
Create a new swarm with specified topology and configuration:
mcp__flow-nexus__swarm_init({
topology: "hierarchical", // Options: mesh, ring, star, hierarchical
maxAgents: 8,
strategy: "balanced" // Options: balanced, specialized, adaptive
})
Topology Guide:
- Hierarchical: Tree structure with coordinator nodes (best for complex projects)
- Mesh: Peer-to-peer collaboration (best for research and analysis)
- Ring: Circular coordination (best for sequential workflows)
- Star: Centralized hub (best for simple delegation)
Strategy Guide:
- Balanced: Equal distribution of workload across agents
- Specialized: Agents focus on specific expertise areas
- Adaptive: Dynamic adjustment based on task complexity
Spawn Agents
Add specialized agents to the swarm:
mcp__flow-nexus__agent_spawn({
type: "researcher", // Options: researcher, coder, analyst, optimizer, coordinator
name: "Lead Researcher",
capabilities: ["web_search", "analysis", "summarization"]
})
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.
- 6d ago First seen · 611 lines · 20 tokens per session scan A f060e56109c5
flow-nexus-swarm is a skill published in the GitHub repository ruvnet/ruflo (71,708 stars, last pushed today), licensed MIT. It adds 20 tokens to every session and 4,226 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 2026-09-03.
Other skills, from other repositories
flow-nexus-swarm
Cloud-based AI swarm deployment and event-driven workflow automation with Flow Nexus platform.
flow-nexus-swarm
Cloud-based AI swarm deployment and event-driven workflow automation with Flow Nexus platform.
flow-nexus-swarm
Cloud-based AI swarm deployment and event-driven workflow automation with Flow Nexus platform.
flow-nexus-swarm
Cloud-based AI swarm deployment and event-driven workflow automation with Flow Nexus platform.
flow-nexus-swarm
Cloud-based AI swarm deployment and event-driven workflow automation with Flow Nexus platform.
github-release-management
Comprehensive GitHub release orchestration with AI swarm coordination for automated versioning, testing, deployment, and rollback management.