Rented Server Setup Agent Skill

Runs an open model in the cloud two ways, and makes the user choose with real numbers.

Context cost
38k tokensestimated from the bundle, loaded when it triggers
Bundle
12 files · 152.2 kBtext throughout, nothing executable
Licence
MITthe author’s own terms
Last change
—no release on file
Servers it uses
Noneruns standalone

What it does

Runs an open model in the cloud two ways, and makes the user choose with real numbers. Route A is OVHcloud AI Endpoints, an EU-owned per-token API with zero idle cost, for spiky usage and EU jurisdiction. Route B rents one single-tenant RunPod GPU pod in a region the user picks, serving the model on vLLM behind a generated API key, with Open WebUI behind its own login and a URL Claude Code can use directly, for sustained use, unlisted models, or single tenancy.

What this skill changes about the agent has not been set out here as a list. Its SKILL.md, shown below, says it in the author’s own words.

data science

The skill itself

A skill is instructions the model reads, so you can see what you are getting: below is the start of its SKILL.md. The front matter loads with every session, the body loads when the skill triggers, and the whole file comes with the install.

SKILL.md20.1 kB · preview
--- name: rented-server-setup disable-model-invocation: true ---
7# Rented Server Setup
8
9The cloud counterpart to scan-my-machine. That skill tells someone what their laptop can run. This one runs what it cannot, and it carries two builds because "run a big model in the cloud" has two honest answers depending on usage shape and what "private" means:
10
11- **Route A, the EU endpoint.** OVHcloud AI Endpoints: a per-token OpenAI-compatible API run by a French company in Gravelines, France. Cents per million tokens, zero idle cost solo. Two shapes: solo, where each user's own app points at the endpoint, and team, where one shared Open WebUI runs on a small OVH VPS for about €5 a month. Multi-tenant either way.
12- **Route B, the private pod.** One RunPod Secure Cloud pod in a region the user picks, two locked doors: Open WebUI behind its login for the team, vLLM's API behind a generated key for Claude Code and other apps. Single-tenant, any model with a vLLM recipe, one shared URL for a team. Bills every hour it exists, used or not.
13
14The order is: questions first, then two named recommendations with prices computed from the answers, then the user picks a provider and everything after is yours: token, wire, prove, report. Beyond creating their own credential they should not have to open a dashboard, paste a URL, or copy an endpoint ID.
15
16Two things are never automatic. The **spend**, in references/cost-gate.md. And on Route B the **region**, which the user chooses and you never default.
17
18## 1. Before you start
19
20Run the check in references/environment-check.md. It is deliberately short: **nothing here runs on the user's machine**, so do not scan their hardware and do not report on it.
21
22If a local model would do the job, they should be in local-ai-setup instead. Say that in one line and move on.
23
24## 2. The questions
25
This is a preview of SKILL.md. Download or install the skill to get the whole thing.
In the file
SKILL.md3,286 words
Files12
LicenceMIT
Why you can read it

Nothing in a skill executes. The client loads the text and the model follows it, so a skill can be audited the way a runbook is — by reading it.

What it costs in context

Skills are not billed by the call. They are paid for in context: every token the instructions occupy is a token your code, your diff and your conversation cannot use. Here is what this one takes and when it takes it.

≈270
always loaded
The name and description, so the model knows the skill exists and when to reach for it.
37,780
on trigger
The instruction body and 11 supporting files, read only when the skill fires.
19.0%
of a 200k window
Ten skills this size would not fit in the window together.
050k100k150k200k context window

38k tokens, estimated from the bundle at four bytes to the token, held for the rest of the session once it triggers. Heavy. Teams tend to install this one per project rather than globally, and load it only when the job comes up.

Servers bill, skills cost

A server charges by the month. A skill charges once per session, in context, and then keeps charging it for as long as the session lives.

Before and after

The same question, put to the same model twice: once as it comes, and once with these instructions loaded.

No worked example has been published for this skill yet.

The procedure it runs

The procedure has not been set out here step by step. It is in the body of its SKILL.md: the start of it is shown above, and the whole file comes with the install.

Prose, not code

These steps are written for a model to follow, not executed by a runtime. It can still be told to skip one, and it will say so when it does.

Servers it uses

None. This skill calls no MCP servers at all.

Everything it needs is in the instructions, so it works in a project with nothing connected — the model reads the file and changes how it works with what it can already reach.

Its SKILL.md does not declare which tools it asks the agent for, so what it touches is whatever the instructions themselves ask for — read them before you install it.

What it asks for
Writes filesnot declared
Network accessnot declared

This SKILL.md carries no allowed-tools line, so neither is declared. A skill grants no permissions of its own — it can only ask for tools your client already has.

What it will not do

Every skill is narrow, and the useful ones say where they stop. These are the jobs this one is the wrong tool for.

What this skill is not for has not been published here. Nothing is implied by that: it is a section the author has not filled in.

What is in the bundle

12 files, 152.2 kB on disk. A bundle is text throughout: the instructions the model reads, plus the templates it fills in.

  • SKILL.md20.1 kB
  • references/cost-gate.md8.2 kB
  • references/deploy-steps.md31.0 kB
  • references/environment-check.md3.8 kB
  • references/model-picker.md12.5 kB
  • references/model-sources.md9.4 kB
  • references/ovh-endpoints.md8.0 kB
  • references/ovh-team-interface.md4.3 kB
  • references/report-template.md18.3 kB
  • references/teardown.md6.4 kB
  • references/troubleshooting.md16.2 kB
  • references/trust-boundary.md14.0 kB
What is not in it

No dependencies and nothing executable: a skill is text the agent reads, so the bundle is 12 files you can review in full before installing. The MIT licence covers the templates and examples as well as the instructions.

Install

Installing copies the bundle into your project. Nothing runs at install time — the files sit on disk until the model reads them.

# Rented Server Setup · 38k tokens when loaded · macOS, Linux mkdir -p .claude/skills && t=$(mktemp -d) && curl -fsSL -o "$t/bundle.tar.gz" https://mcprush.com/api/skills/rented-server-setup/bundle.tar.gz && tar -xzf "$t/bundle.tar.gz" -C "$t" && [ -d "$t/rented-server-setup" ] && { [ ! -e .claude/skills/rented-server-setup ] || { mv .claude/skills/rented-server-setup "$t/.previous" && echo "Previous copy moved to $t/.previous"; }; } && mv "$t/rented-server-setup" .claude/skills/ && echo "Installed .claude/skills/rented-server-setup"
On Windows, or any OS with Node 20+
npx mcprush@latest skill add naveedharri/rented-server-setup

Windows PowerShell says 'running scripts is disabled on this system'? Run Set-ExecutionPolicy -Scope CurrentUser RemoteSigned once, or type npx.cmd instead of npx (codex.cmd, gemini.cmd, grok.cmd likewise). PowerShell 7 needs neither. Writes to .claude/skills/rented-server-setup/ in the current project. For every project instead, run mkdir -p ~/.claude/skills && t=$(mktemp -d) && curl -fsSL -o "$t/bundle.tar.gz" https://mcprush.com/api/skills/rented-server-setup/bundle.tar.gz && tar -xzf "$t/bundle.tar.gz" -C "$t" && [ -d "$t/rented-server-setup" ] && { [ ! -e ~/.claude/skills/rented-server-setup ] || { mv ~/.claude/skills/rented-server-setup "$t/.previous" && echo "Previous copy moved to $t/.previous"; }; } && mv "$t/rented-server-setup" ~/.claude/skills/ && echo "Installed ~/.claude/skills/rented-server-setup" (macOS, Linux) — or add --global to the npx line. The curl line replaces .claude/skills/rented-server-setup/ only after the download succeeds, so files left there by another skill of the same name, or by an older release, do not mix in. A copy already there is moved aside, not deleted, and the line prints where.

Which clients pick it up on their own

A skill is a folder of text. Most of these read a skills folder and pick it up without being told; the rest take the same folder another way — an upload in the app, a parameter on an API call — and then choose it by its description just the same.

Claude Code.claude/skills/
Claude DesktopCustomize › Skills
ChatGPTSkills › Create › Upload
Cursor.cursor/skills/
VS Code.github/skills/
Codex CLI.agents/skills/
Gemini CLI.gemini/skills/
Grok Build.grok/skills/
Microsoft CopilotSkills › Upload a skill
PerplexityComputer › Skills › Upload a skill
DeepSeek Harness.dsh/skills/
Zed.agents/skills/
Devin Desktop.devin/skills/
Windsurf (legacy).windsurf/skills/
OpenAI Agents SDKInstructions or sandbox Skills
HTTP / APIa request parameter
This release
Versionnot versioned
Publishedno release date on file
PriceFree
Referencenaveedharri/rented-server-setup

Versions

Its author publishes no version number, so there is nothing here to pin to: what you install is the folder as it stands today. Instructions change more often than APIs do — a skill can be rewritten entirely without anything it depends on moving.

Pinning

Nothing to pin to: this skill carries no version number of its own. What you install is what the folder holds on the day you install it.

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