aiq-deploy

aiq-deploy is a skill for Claude Code from laurigates/dotfiles. It costs 27 tokens per session (3,142 once invoked), scanned A, a copy of aiq-deploy, MIT.

A deployment assistant for NVIDIA AI-Q Blueprint infrastructure, which is software for running NVIDIA’s AI research and retrieval systems. It supports local, browser-development, and Kubernetes deployment modes.

In plain words
What is it for?
Use it to install, run, validate, troubleshoot, or stop an AI-Q Blueprint server using Docker, Python, Node.js, or Kubernetes.
Why use it?
It organizes setup, deployment, health checks, troubleshooting, and shutdown so the AI-Q Blueprint server is ready for use. It also checks the required runtimes, tools, credentials, and connections.

Skill for Claude Code

Written for Claude Code: allowed-tools in frontmatter. Also seen: mentions Claude Code; mentions Codex; mentions OpenCode.

Needs its repository: it reads a path above its own folder, which exists only inside the repository. The line is BUILD_TARGET=release docker compose --env-file ../.env -f docker-compose.yaml config --quiet.

Good fit Use it to install, run, validate, troubleshoot, or stop an AI-Q Blueprint server using Docker, Python, Node.js, or Kubernetes.

Compare 6 skills from other repositories ↓
Install

Getting it into your agent

It runs from inside its repository, so the clone comes first — what it calls does not travel with the file alone.

Clone the repo
git clone --depth 1 https://github.com/laurigates/dotfiles
agentmods
npx agentmods add skills/laurigates/dotfiles/aiq-deploy

Made for: Claude Code.

Wrote 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.

agentmods badge for aiq-deploy

README.md
[![agentmods](https://agentmods.dev/badge/skills/laurigates/dotfiles/aiq-deploy/github.svg)](https://agentmods.dev/skills/laurigates/dotfiles/aiq-deploy)
Your own site
<a href="https://agentmods.dev/skills/laurigates/dotfiles/aiq-deploy"><img src="https://agentmods.dev/badge/skills/laurigates/dotfiles/aiq-deploy/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.

agentmods 80×15 button for aiq-deploy

Your own site · 80×15
<a href="https://agentmods.dev/skills/laurigates/dotfiles/aiq-deploy"><img src="https://agentmods.dev/badge/skills/laurigates/dotfiles/aiq-deploy.svg" alt="Reviewed on agentmods" width="80" height="20"></a>
Per session 27 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 3,142 The whole file, excluding the scripts and references it only reads on demand.
Security scan A 1 finding. A grade says what 26 rules found in the file — not that it is safe.
Origin 100% copy Near-identical to another mod in the catalogue.
Token cost

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.

ModelPer sessionOnce invoked
Fable 5.1 $0.00027 $0.03142
Opus 5.5 $0.00011 $0.01257
Sonnet 5.5 $0.00005 $0.00628
Haiku 4.5 $0.00003 $0.00314

Measured 1mo ago against content hash 9bfad6034823, method: parsed. Prices are Anthropic first-party input rates as of 2026-10-07, from the pricing page.

Security

Grade A, and why

aiq-deploy 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 1mo 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.

curl -sf http://localhost:8000/health
Origin

This is a copy

100% identical to aiq-deploy — 0 lines differ, which has more behind it and is treated as the original. This page carries a canonical link to it rather than competing with it.

exact_dot_claude/skills/aiq-deploy/SKILL.md · 352 lines

How it starts

The opening of the file, as written. The whole thing — 352 lines — stays where its author put it; the contents beside it link to each section on GitHub.

AIQ Deploy Skill

Purpose

Use this skill to get a local or self-hosted NVIDIA AI-Q Blueprint server running and verified for use by aiq-research.

This skill owns setup, deployment, operational checks, troubleshooting, and shutdown. It does not run deep research itself. After deployment is healthy, hand off the verified server URL to aiq-research. The workflow stays explicit so deployment validation and handoff are repeatable across supported agent clients.

Prerequisites

Users need:

  • Access to clone or update https://github.com/NVIDIA-AI-Blueprints/aiq.
  • Git available in the shell.
  • One deployment runtime:
    • Docker Engine with Docker Compose v2 for the default durable local deployment.
    • Python 3.11+ and uv for local process or CLI mode.
    • Node.js 20+ and npm for local browser UI development mode.
    • kubectl 1.28+, Helm 3.12+, and access to a Kubernetes cluster for Helm mode.
  • Network access to GitHub, NVIDIA-hosted model endpoints, and any selected search provider.
  • Credentials stored outside chat. Hosted-model usage requires NVIDIA_API_KEY; web research requires at least one supported search provider key such as TAVILY_API_KEY, SERPER_API_KEY, or EXA_API_KEY.
  • System capacity for the selected runtime. Docker Compose mode starts the AI-Q backend and PostgreSQL by default; browser UI mode also uses frontend port 3000. Self-hosted model or RAG deployments may require GPU resources.

Before writing secrets, verify deploy/.env is ignored:

git check-ignore deploy/.env

Expected output: deploy/.env or a matching ignore rule. If it is not ignored, stop and fix the ignore rule before placing credentials in the file.

Instructions

  1. Locate or clone the AI-Q repository.
  2. Confirm the expected repository files exist.
  3. Select the deployment mode.
  4. Prepare deploy/.env without overwriting user secrets.
  5. Check runtime prerequisites for the selected path.
  6. Start the selected deployment.
  7. Run basic validation.
  8. Report the verified AIQ_SERVER_URL for aiq-research.
  9. Ask whether to run optional deep research completion validation.

Read the full file on GitHub · 352 lines

Changes

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.

  1. 1mo ago First seen · 352 lines · 27 tokens per session scan A 9bfad6034823

Subscribe to this mod's changes

aiq-deploy is a skill published in the GitHub repository laurigates/dotfiles (10 stars, last pushed yesterday), licensed MIT. It adds 27 tokens to every session and 3,142 once invoked, about $0.0001 per session on Opus 5.5. A static security scan graded it A with 1 finding (makes network calls). It is 100% identical to aiq-deploy, differing in 0 lines, and is treated as a copy.