Agent skill

Infrastructure

by theopenco in theopenco/llmgateway

Production infrastructure and request-origin facts for LLM Gateway — GCP hosting, production hostnames and which app serves each, deploy ordering, client IP extraction, forwarded headers, and…

Custom licenceAuto-check passedDevOps & Cloud

Install Infrastructure

skills CLI
$ npx skills add theopenco/llmgateway --skill infrastructure -a claude-code

Project install by default; add -g for ~/.claude/skills/.

GitHub CLI
$ gh skill install theopenco/llmgateway infrastructure --agent claude-code

Project scope by default; add --scope user for a personal install. Needs GitHub CLI 2.90.0 or later (public preview).

Manual copy
$ git clone --depth 1 https://github.com/theopenco/llmgateway.git skills-src && mkdir -p .claude/skills && cp -r skills-src/.agents/skills/infrastructure .claude/skills/infrastructure && rm -rf skills-src

Use ~/.claude/skills/ instead of .claude/skills for a personal install. The folder must contain SKILL.md.

Claude Code skills documentation · loads skills from .claude/skills/

Facts

Skill name
infrastructure
GitHub stars
1.7k
Token cost
~714 tokens
SKILL.md length
264 words
Files
1
Skills in repo
19
Repo updated
First seen
Licence
Custom licence

At a glance

Production infrastructure and request-origin facts for LLM Gateway — GCP hosting, production hostnames and which app serves each, deploy ordering, client IP extraction, forwarded headers, and…

  • Touching client IP
  • SKILL.md covers Hosting and Client IP and country
  • Instructions only: no scripts, shell commands, URLs or credentials in SKILL.md
  • Geolocation code

What it does

Infrastructure is an agent skill from theopenco/llmgateway. Production infrastructure and request-origin facts for LLM Gateway — GCP hosting, production hostnames and which app serves each, deploy ordering, client IP extraction, forwarded headers, and visitor country. Use when touching client IP or geolocation code, IP rate limits or allow-lists, X-Forwarded-For or X-Client-Ip, server-side calls on a visitor's behalf, deployment assumptions, or when reasoning about api.llmgateway.io versus internal.llmgateway.io.

Its SKILL.md is about 710 tokens, which your agent loads only when the skill is triggered. It is a single SKILL.md file with no bundled scripts.

It sits in DevOps & Cloud, covering Rate limiting, Model routing and gateways and Backend development. It works with Google Cloud. The repository describes itself as: Route, manage, and analyze your LLM requests across multiple providers with a unified API interface.

When your agent uses it

  • Touching client IP
  • Geolocation code
  • X-Forwarded-For
  • Server-side calls on a visitors behalf

Example prompts

  • “/infrastructure”

Requirements

  • Docker

What it can do on your machine

Read from SKILL.md and the folder at commit 4fd76f3. It shows what the files ask for, not the result of running them.

  • Tool permissions

    Pre-approves nothing: there is no allowed-tools line, so your agent's usual permission prompts apply.

    From allowed-tools in the SKILL.md frontmatter.

  • Runs code

    No scripts in the folder and no shell commands in SKILL.md.

    From the folder's file list and the shell code blocks in SKILL.md.

  • Network

    No URLs in SKILL.md.

    From URLs in SKILL.md, links to its own repository left out.

  • Credentials

    Names no API keys, tokens, secrets or passwords.

    From names ending in _API_KEY, _TOKEN, _SECRET, _KEY or _PASSWORD in SKILL.md.

Context cost

Infrastructure loads about 714 tokens when it runs. Until then it costs about 118 tokens; SKILL.md has 264 words of instructions outside code blocks.

Always · name and description, kept in context so the agent knows when to use it
~118
When it runs · the whole SKILL.md, loaded when a task matches
~714

Estimates: characters ÷ 4, the usual rule of thumb; real counts depend on the model's tokenizer. Scripts and assets cost tokens only if the agent reads them.

Safety

Auto-check passed

The automated check found no risky patterns in SKILL.md.

Automated static check — not a guarantee. Review scripts before installing. It scans the text of SKILL.md for risky patterns (piping downloads into a shell, reading credential files, hidden Unicode, destructive commands); files beside SKILL.md are not scanned.

SKILL.md

Its licence (Custom licence) doesn't allow us to republish the file, so here is its outline and opening line. It has 264 words (~714 tokens).

“Production runs entirely on GCP: GKE behind Google's external Application Load Balancer, configured with the Gateway API. infra/helm/ and infra/docker-compose*.yml in this repository describe self-hosting, not production.”

— opening of SKILL.md by theopenco, Custom licence
name
infrastructure

Read the full SKILL.md on GitHub

Files

Just SKILL.md in .agents/skills/infrastructure of theopenco/llmgateway.

Open the folder on GitHubat commit 4fd76f3

Compare with similar skills

Infrastructure next to the 5 skills that share the most tags, products or categories with it. Stars are the repository's; “used in” counts other GitHub owners with a copy.

Infrastructure compared with similar skills
SkillStarsUsed inTokensAuto-checkLicenceRepo updated
Infrastructure this skilltheopenco/llmgateway1.7k—~714Automated safety check: PassCustom licence
Pi K8s Deployrodrigorodrigues/microservices-design-patterns188—~1.6kAutomated safety check: PassNone
AI ServerOpentrons/opentrons521—~2.5kAutomated safety check: NotesApache-2.0
Deployclacky-ai/openclacky1.2k—~1.9kAutomated safety check: PassMIT
Provider API Call Dedupmondoohq/mql411—~7.7kAutomated safety check: PassCustom licence
Gcloudeinverne/dotfiles121—~5.6kAutomated safety check: NotesGPL-3.0

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More from theopenco/llmgateway

All 19 skills in this repo
  • Blog

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    Write and validate an LLM Gateway marketing blog post in the repository's current house style, including structured frontmatter and a gpt-image-2 OpenGraph image.

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  • Model Benchmarks

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    Create, update, and audit repository-local agent skills against the current LLM Gateway codebase.

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  • Security Audit

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    Security best practices, vulnerability review, and full security audits for LLM Gateway.

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  • Add Model

    theopenco/llmgateway

    Add a model or provider mapping to the catalogue, or verify one that was already written — pricing, capability and reasoning metadata, scoped e2e, and playground options for image/video models.

    1.7k GitHub stars~5k tokensUpdated today
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  • Changelog

    theopenco/llmgateway

    Write a new LLM Gateway changelog entry. An agent skill from theopenco/llmgateway.

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Works with

Questions about Infrastructure

What does Infrastructure do?

Production infrastructure and request-origin facts for LLM Gateway — GCP hosting, production hostnames and which app serves each, deploy ordering, client IP extraction, forwarded headers, and…. Infrastructure is an agent skill from theopenco/llmgateway. Production infrastructure and request-origin facts for LLM Gateway — GCP hosting, production hostnames and which app serves each, deploy ordering, client IP extraction, forwarded headers, and visitor country.

When should I use Infrastructure?

Infrastructure fits situations like: touching client IP; geolocation code; X-Forwarded-For; server-side calls on a visitors behalf.

How do I install Infrastructure in Claude Code?

Run `npx skills add theopenco/llmgateway --skill infrastructure -a claude-code`. Or copy the skill folder (.agents/skills/infrastructure in theopenco/llmgateway) into .claude/skills/infrastructure in your project. Claude Code loads it when a task matches its description.

How do I install Infrastructure in Codex?

Run `npx skills add theopenco/llmgateway --skill infrastructure -a codex`. Or copy the skill folder (.agents/skills/infrastructure in theopenco/llmgateway) into .agents/skills/infrastructure in your project. Codex loads it when a task matches its description.

Can I use Infrastructure in Cursor, Gemini CLI or GitHub Copilot?

Cursor, Gemini CLI, GitHub Copilot and OpenCode also load SKILL.md folders. With the skills CLI, run `npx skills add theopenco/llmgateway --skill infrastructure -a cursor` (or -a gemini-cli, github-copilot or opencode for the others). To copy it by hand, put the folder in .cursor/skills/infrastructure, .gemini/skills/infrastructure, .github/skills/infrastructure and .opencode/skills/infrastructure in your project.

What does Infrastructure need to run?

SKILL.md names no scripts, command-line tools or credentials: Infrastructure is instructions for the agent only. Our summary lists: Docker.

Does Infrastructure access the network?

SKILL.md contains no URLs. Any network use would come from the scripts or tools the agent runs. This is read from the text; nothing was executed.

Is Infrastructure safe to install?

Our automated static check of SKILL.md found no risky patterns, such as piping downloads into a shell, reading credential files or hidden Unicode. It is not a guarantee. Review the folder before installing.

What licence does Infrastructure use?

Infrastructure has a licence file (the repository's licence) that doesn't match a standard licence. Read it on GitHub before reusing the skill.

How many tokens does Infrastructure use?

About 714 tokens (SKILL.md is roughly 2.9k characters). Agents keep only the skill's name and description in context until a task matches; then they load SKILL.md in full.

What are the alternatives to Infrastructure?

Skills that share tags, products or a category with Infrastructure: Pi K8s Deploy (rodrigorodrigues/microservices-design-patterns, 188 stars), AI Server (Opentrons/opentrons, 521 stars), Deploy (clacky-ai/openclacky, 1.2k stars) and Provider API Call Dedup (mondoohq/mql, 411 stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.

Who maintains Infrastructure?

theopenco (a GitHub organization) maintains it in theopenco/llmgateway, which has 1,674 GitHub stars. The repository holds 19 skills in this directory. The repository was last updated on October 7, 2026.

Source: theopenco/llmgateway on GitHub. Facts on this page come from the repository at the commit we read; the author's words are quoted as theirs.