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 agentmods add commands/ruvnet/sublinear-time-solver/swarmgit clone --depth 1 https://github.com/ruvnet/sublinear-time-solverWhat 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 | $0.00013 | $0.00618 |
| Opus 5 | $0.00006 | $0.00309 |
| Sonnet 5 | $0.00003 | $0.00124 |
| Haiku 4.5 | $0.00001 | $0.00062 |
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 3d 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
3 near-identical copies found in the catalogue:
- flow-nexus-swarm — 100% identical, 0 lines differ
- flow-nexus-swarm — 100% identical, 0 lines differ
- flow-nexus-swarm — 100% identical, 0 lines differ
What it actually says
Flow Nexus Swarms
Deploy and manage AI agent swarms in the cloud.
Initialize Swarm
mcp__flow-nexus__swarm_init({
topology: "hierarchical", // mesh, ring, star, hierarchical
maxAgents: 8,
strategy: "balanced" // balanced, specialized, adaptive
})
Spawn Agents
mcp__flow-nexus__agent_spawn({
type: "researcher", // coder, analyst, optimizer, coordinator
name: "Lead Researcher",
capabilities: ["web_search", "analysis", "summarization"]
})
Orchestrate Tasks
mcp__flow-nexus__task_orchestrate({
task: "Build a REST API with authentication",
strategy: "parallel", // parallel, sequential, adaptive
maxAgents: 5,
priority: "high"
})
Monitor Swarm
// Get swarm status
mcp__flow-nexus__swarm_status()
// List active swarms
mcp__flow-nexus__swarm_list({ status: "active" })
// Scale swarm
mcp__flow-nexus__swarm_scale({ target_agents: 10 })
// Destroy swarm
mcp__flow-nexus__swarm_destroy({ swarm_id: "id" })
Templates
// Use pre-built swarm template
mcp__flow-nexus__swarm_create_from_template({
template_name: "full-stack-dev",
overrides: {
maxAgents: 6,
strategy: "specialized"
}
})
// List available templates
mcp__flow-nexus__swarm_templates_list({
category: "quickstart" // specialized, enterprise, custom
})
Common Swarm Patterns
Research Swarm
mcp__flow-nexus__swarm_init({ topology: "mesh", maxAgents: 5 })
mcp__flow-nexus__agent_spawn({ type: "researcher", name: "Lead" })
mcp__flow-nexus__agent_spawn({ type: "analyst", name: "Data Analyst" })
mcp__flow-nexus__task_orchestrate({ task: "Research ML trends" })
Development Swarm
mcp__flow-nexus__swarm_init({ topology: "hierarchical", maxAgents: 8 })
mcp__flow-nexus__agent_spawn({ type: "coordinator", name: "PM" })
mcp__flow-nexus__agent_spawn({ type: "coder", name: "Backend Dev" })
mcp__flow-nexus__agent_spawn({ type: "coder", name: "Frontend Dev" })
mcp__flow-nexus__task_orchestrate({ task: "Build e-commerce platform" })
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.
- 3d ago First seen · 87 lines · 13 tokens per session scan A c59562ffd4d9
flow-nexus-swarm is a command published in the GitHub repository ruvnet/sublinear-time-solver (89 stars, last pushed 1mo ago), licensed MIT. It adds 13 tokens to every session and 618 once invoked, about $0.0001 per session on Opus 5. A static security scan graded it A with 0 findings. No closer match exists in the catalogue, so it is treated as the original; first seen 2026-08-30.
Other commands, from other repositories
add-tool
Scaffold a new FreeAgent MCP tool (handler + registration + test) following the repo pattern.
OPSX: Archive
Archive a completed change in the experimental workflow.
session-start
Invoke at the BEGINNING of every working session. Token budget: 500–1,500. -->.
audit-web
请使用 anjian MCP 工具处理这个网站安全评估请求：$ARGUMENTS.
atrs
Generate Algorithmic Transparency Recording Standard (ATRS) record for AI/algorithmic tools.
onboard
You are running the DataWorkers onboarding flow. Guide the user through getting started with the DataWorkers MCP platform.