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 skills/supportersimulator/3-surgeons/setup-teamnpx skills add supportersimulator/3-surgeons --skill setup-teamgit clone --depth 1 https://github.com/supportersimulator/3-surgeonsWrote 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/supportersimulator/3-surgeons/setup-team)<a href="https://agentmods.dev/skills/supportersimulator/3-surgeons/setup-team"><img src="https://agentmods.dev/badge/skills/supportersimulator/3-surgeons/setup-team.svg" alt="Measured on agentmods" height="20"></a>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 | $0.00019 | $0.01559 |
| Opus 5 | $0.00010 | $0.00779 |
| Sonnet 5 | $0.00004 | $0.00312 |
| Haiku 4.5 | $0.00002 | $0.00156 |
Grade A, and why
setup-team 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 5d 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 — 144 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Setup Team
When to Invoke
- First time a user installs 3-Surgeons — before any cross-examination or consensus can run
- User says "set up surgeons", "configure team", "connect models", "get started"
- Probe shows surgeons down and user hasn't configured yet
- User switches LLM backends — new local model, different API provider
Philosophy
You are the head surgeon (Atlas). Your team needs two more surgeons to provide the cross-examination that makes this system valuable. Your job is to help the user assemble their team — quickly, securely, and without pressure.
This is NOT a setup wizard. It's a conversation. Meet the user where they are.
The Opening
When setup-team is triggered, present this naturally (adapt tone to context, but keep the substance):
Your 3-Surgeons plugin is installed. I'm Atlas (your head surgeon),
but the team needs two more surgeons to provide cross-examination.
Quick options:
- Already have a local LLM running? (Ollama, LM Studio, MLX) — I'll detect it
- Have an OpenAI API key? — I can configure the Cardiologist in seconds
- Want to run fully local ($0)? — I'll help set up two local models
Want me to get the team assembled?
If the user says yes (or anything affirmative), proceed. If they want to skip, respect that — the plugin works with just Atlas, it's just better with the full team.
The Flow
Step 1: Detect what's already running
3s init --detect
Report what was found naturally:
- Found a local LLM: "I can see [Ollama/MLX/LM Studio] running on port [X] with [model]. That's your Neurologist sorted."
- Found nothing local: "No local LLM detected — no problem. Want to install one, or use cloud APIs for both surgeons?"
Step 2: Configure based on what they have
Path A — Local LLM detected + has API key: The most common path. Local model becomes Neurologist, API becomes Cardiologist.
- "For the Cardiologist, I'll need an API key. Which provider?"
- OpenAI (recommended, gpt-4.1-mini)
- DeepSeek (budget-friendly)
- Groq (fastest inference)
- Any OpenAI-compatible endpoint
- Help them set the env var securely (see Secret Handling below)
- Write config via
3s init
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.
- 5d ago First seen · 144 lines · 19 tokens per session scan A df46bcc012a4
setup-team is a skill published in the GitHub repository supportersimulator/3-surgeons (2 stars, last pushed 3mo ago), licensed MIT. It adds 19 tokens to every session and 1,559 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 2026-08-31.
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