Borrowing it
Nothing to install: this file belongs to matthewdcage/llm-swarm-router. 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/matthewdcage/llm-swarm-router/main/.agents/skills/netllm-swarm/SKILL.mdgit clone --depth 1 https://github.com/matthewdcage/llm-swarm-routerWrote 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/matthewdcage/llm-swarm-router/netllm-swarm)<a href="https://agentmods.dev/skills/matthewdcage/llm-swarm-router/netllm-swarm"><img src="https://agentmods.dev/badge/skills/matthewdcage/llm-swarm-router/netllm-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/matthewdcage/llm-swarm-router/netllm-swarm"><img src="https://agentmods.dev/badge/skills/matthewdcage/llm-swarm-router/netllm-swarm.svg" alt="Reviewed on agentmods" width="80" height="20"></a>- NVIDIA SkillSpector warn
SkillSpector: 1 finding, up to high
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 →
- high Anti-Refusal · line 169 Skill instructs the agent to omit warnings, disclaimers, or ethical commentary. Stripping safety caveats hides risk from the user and is a common jailbreak preamble.Fix: Remove instructions that suppress warnings, disclaimers, or ethical commentary. Let the agent surface safety-relevant caveats to the user.
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 | $0.00100 | $0.01871 |
| Opus 5.5 | $0.00040 | $0.00748 |
| Sonnet 5.5 | $0.00020 | $0.00374 |
| Haiku 4.5 | $0.00010 | $0.00187 |
Grade A, and why
netllm-swarm scanned grade A with 1 finding 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 2mo 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.
Makes network callslowCapability
Not a fault in itself. Listed so you know the mod talks to something, and to what.
curl -s http://127.0.0.1:11400/metrics | rg netllm_requests_total How it starts
The opening of the file, as written. The whole thing — 171 lines — stays where its author put it; the contents beside it link to each section on GitHub.
netllm swarm
When to use this skill
- Multiple machines should share one logical model pool
- User says "LAN swarm", "multi-machine netllm", "find peers", or
/netllm-swarm - mDNS or static peer configuration needed
Prerequisites
- netllm installed on each machine (
netllm-setupskill or./netllm init) - Same LAN/VLAN (guest Wi-Fi often blocks mDNS)
- Local inference on at least one host (optional on workers if they only gateway)
Workflow (DMG / trusted home LAN — default)
- Each machine: install app → welcome Listen on LAN (or Settings LAN toggle) → restart agent
- Clients:
export OPENAI_BASE_URL=http://<any-LAN-IP>:11400/v1(Honcho, Cursor, etc.) - Verify:
./netllm peers— agents find each other via mDNS / subnet scan (no token)
Open swarm: empty swarm.cluster_token is intentional on trusted LANs.
Workflow (CLI — same open default)
-
Each machine:
./netllm init --swarm # upgrades existing config; no --force ./netllm serveBinds
0.0.0.0:11400, selectslocal_spillover, enablessubnet_scan— no token. -
Verify the mesh
./netllm peers # both machines listed; flags unreachable loopback binds ./netllm models --lan ./netllm status
Workflow (manual — existing configs)
-
Bind for LAN on each host
./netllm serve --host 0.0.0.0Packaged installs (systemd, Windows service, macOS app) may already bind via config, use
./netllm start/./netllm restartafter changing listen address. Confirmagent.advertise = truein~/.config/netllm/config.toml(default in config.example.toml). -
Firewall, allow inbound TCP
11400and UDP5353(mDNS) on each host —./netllm doctorprints per-platform commands. -
Security on untrusted LANs (optional): Settings Require cluster token, or
./netllm init --swarm --secure, or./netllm swarm-token --create. Then on other machines:./netllm join http://<leader-ip>:11400 --token <token>. Heartbeats require Bearer token when set; open swarms reject join-with-token.
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.
- 2mo ago First seen · 171 lines · 100 tokens per session scan A 089f919a8f3b
netllm-swarm is a skill published in the GitHub repository matthewdcage/llm-swarm-router (26 stars, last pushed 7d ago), licensed MIT. It adds 100 tokens to every session and 1,871 once invoked, about $0.0004 per session on Opus 5.5. A static security scan graded it A with 1 finding (makes network calls). No closer match exists in the catalogue, so it is treated as the original; first seen 2026-08-30.
netllm-swarm compared with skills from other repositories
| Mod | Type | Stars | Last push | Licence | Scan | Tokens | Works with |
|---|---|---|---|---|---|---|---|
| netllm-swarmmatthewdcage/llm-swarm-router | Skill | 26 | 7d ago | MIT | A | 100 | Claude Code |
| modalNousResearch/hermes-agent | Skill | 261k | yesterday | MIT | A | 13 | Claude Code, Codex |
| torchtitanNousResearch/hermes-agent | Skill | 261k | yesterday | MIT | A | 20 | Claude Code, Codex |
| tensorrt-llmNousResearch/hermes-agent | Skill | 261k | yesterday | MIT | A | 18 | Claude Code, Codex |
| lambda-labsNousResearch/hermes-agent | Skill | 261k | yesterday | MIT | C | 13 | Claude Code, Codex |
| ultralytics-platformfcakyon/claude-codex-settings | Skill | 1.2k | yesterday | Apache-2.0 | A | 135 | Claude Code |
| firebase-aievanca/flutter-ai-rules | Skill | 669 | yesterday | MIT | A | 30 | Claude Code |