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-setup/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-setup)<a href="https://agentmods.dev/skills/matthewdcage/llm-swarm-router/netllm-setup"><img src="https://agentmods.dev/badge/skills/matthewdcage/llm-swarm-router/netllm-setup/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-setup"><img src="https://agentmods.dev/badge/skills/matthewdcage/llm-swarm-router/netllm-setup.svg" alt="Reviewed on agentmods" width="80" height="20"></a>- NVIDIA SkillSpector warn
SkillSpector: 1 finding, 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 Rogue Agent · line 46 Skill establishes unauthorized persistence across sessions via cron jobs, startup scripts, or state files. Session persistence allows an attacker to maintain access beyond the current interaction.Fix: Remove any persistence mechanisms (cron jobs, startup scripts, state files). Skills should not maintain state across sessions without explicit user consent.
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 | $0.00118 | $0.01666 |
| Opus 5 | $0.00059 | $0.00833 |
| Sonnet 5 | $0.00024 | $0.00333 |
| Haiku 4.5 | $0.00012 | $0.00167 |
Grade A, and why
netllm-setup 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 10d 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.
How it starts
The opening of the file, as written. The whole thing — 137 lines — stays where its author put it; the contents beside it link to each section on GitHub.
netllm setup
When to use this skill
- First-time install from a git clone
- User says "set up netllm", "install swarm-llm", or
/netllm-setup - Agent needs to verify the router is healthy before editor integration
Prerequisites
- macOS, Linux, or Windows
giton PATHuvon PATH: if missing, tell user to install from https://docs.astral.sh/uv/- Repo root contains pyproject.toml with
name = "netllm"and[tool.uv.workspace] - At least one inference server is optional but warn if none are online after discover: Ollama
:11434, LM Studio:1234, vLLM:8000; oMLX:8080on macOS only
Install paths
| User preference | Steps |
|---|---|
| macOS menubar (macOS 26+) | Clone latest release tag → uv sync → uv pip install venvstacks → apps/netllm-mac/Scripts/build.sh release → packaging/scripts/macos-app-install.sh --source apps/netllm-mac/build/Stage/llm-swarm-router.app. GitHub DMG is ad-hoc until notarized — see docs/macos-install.md. |
| macOS DMG (when notarized) | Download llm-swarm-router.dmg from Releases → bundled macos-app-install.sh --dmg — not Gatekeeper-safe on macOS 26 until Developer ID notarization ships |
| Homebrew | brew tap matthewdcage/netllm <repo> → brew install netllm → brew services start netllm |
| Linux deb/rpm | Install netllm_*_amd64.deb or netllm-*.rpm from Releases → netllm init → systemctl --user enable --now netllm. See docs/linux-install.md. |
| Windows zip | Extract netllm-*-windows-x64.zip → run install-service.ps1 as Admin → netllm init → netllm start. See docs/windows-install.md. |
| Source / dev | Workflow below (uv sync, ./netllm init, ./netllm serve) |
DMG, Homebrew, systemd, and Windows service installs use netllm start / netllm stop. Source installs keep ./netllm serve (foreground).
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.
- 10d ago First seen · 137 lines · 118 tokens per session scan A 96d6a5dc5de3
netllm-setup is a skill published in the GitHub repository matthewdcage/llm-swarm-router (25 stars, last pushed 8d ago), licensed MIT. It adds 118 tokens to every session and 1,666 once invoked, about $0.0006 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.
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