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-connect-editor/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-connect-editor)<a href="https://agentmods.dev/skills/matthewdcage/llm-swarm-router/netllm-connect-editor"><img src="https://agentmods.dev/badge/skills/matthewdcage/llm-swarm-router/netllm-connect-editor/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-connect-editor"><img src="https://agentmods.dev/badge/skills/matthewdcage/llm-swarm-router/netllm-connect-editor.svg" alt="Reviewed on agentmods" width="80" height="20"></a>- NVIDIA SkillSpector pass
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 | $0.00113 | $0.01398 |
| Opus 5.5 | $0.00045 | $0.00559 |
| Sonnet 5.5 | $0.00023 | $0.00280 |
| Haiku 4.5 | $0.00011 | $0.00140 |
Grade A, and why
netllm-connect-editor 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.
- netllm agent running: `curl -sf http://127.0.0.1:11400/health` How it starts
The opening of the file, as written. The whole thing — 121 lines — stays where its author put it; the contents beside it link to each section on GitHub.
netllm connect editor
When to use this skill
- User wants Cursor, Claude Code, Codex, Honcho, or Hermes Agent to use local models via netllm
- After
/netllm-setupor when agent is already running - User invokes
/netllm-connect
Prerequisites
- netllm agent running:
curl -sf http://127.0.0.1:11400/health - Model ID from
./netllm models(exact string required in most editors)
Load detailed per-editor steps from references/editor-settings.md when needed.
Workflow
-
Quick path — when the user names a harness, run
./netllm connect <id>(or./netllm connect <id> --jsonfor agents). It checks agent health, prints copy-paste env wiring, optional Codex TOML or Hermesconfig.yaml, and suggests./netllm sources toggle <id>. Use--toggleonly when the user wants registration in config.toml; never auto-edit editor configs. -
Confirm agent is up
curl -sf http://127.0.0.1:11400/health && echo ok ./netllm models curl -sf http://127.0.0.1:11400/netllm/v1/harnessesPick a model ID from output; note it for the user. The last call 404s on an agent older than the harness-detection feature — that's fine, just fall back to step 3's static instructions unchanged.
-
Ask which editor, Cursor, Claude Code, Codex, VS Code Copilot, Honcho, or Hermes Agent. If user already named one, skip.
-
Apply editor-specific config, follow references/editor-settings.md. Never auto-edit
settings.jsonwithout explicit user consent; show copy-paste instructions instead.If step 1's
/netllm/v1/harnessescall succeeded, tailor this step with the matching entry (match by id:claude-code,codex,cursor,gemini-cli,honcho,hermes-agent; Copilot has no registry entry, use the static flow):"detected": true, "enabled": false(or no matching entry at all) — the CLI is on PATH but not registered as a source. After finishing the env wiring below, mention./netllm sources toggle <id>as an optional way to give this harness its own durable routing/policy — not required for basic connectivity."detected": false— surface that harness'sinstall_hintas a copy-paste command. Never run it yourself; the user installs it, then re-runs this skill to pick up the change."detected": true, "enabled": true— already registered; nothing extra to say here, proceed straight to env wiring.
What ships with it
1 file beside SKILL.md in the same directory: the scripts, references and assets a skill reads on demand. Not counted in the per-session cost; read them before you install if any of them is executable.
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 · 121 lines · 113 tokens per session scan A 11dcf0b9f5e6
netllm-connect-editor is a skill published in the GitHub repository matthewdcage/llm-swarm-router (26 stars, last pushed 7d ago), licensed MIT. It adds 113 tokens to every session and 1,398 once invoked, about $0.0005 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-connect-editor compared with skills from other repositories
| Mod | Type | Stars | Last push | Licence | Scan | Tokens | Works with |
|---|---|---|---|---|---|---|---|
| netllm-connect-editormatthewdcage/llm-swarm-router | Skill | 26 | 7d ago | MIT | A | 113 | Claude Code |
| tiktok-videoFangyuan025/Chaty | Skill | 57 | yesterday | MIT | A | 59 | Claude Code, Codex |
| firebase-messagingevanca/flutter-ai-rules | Skill | 669 | yesterday | MIT | A | 35 | Claude Code |
| firebase-cloud-functionsevanca/flutter-ai-rules | Skill | 669 | yesterday | MIT | A | 36 | Claude Code |
| karpathy-llm-wikiAstro-Han/karpathy-llm-wiki | Skill | 2.7k | 3mo ago | MIT | A | 67 | Claude Code, Codex |
| lilbee-mcp-wikitobocop2/lilbee | Skill | 68 | today | MIT | A | 60 | Claude Code |
| mlx-serveddalcu/mlx-serve | Skill | 2.4k | yesterday | none | A | 88 | Claude Code, Codex |