setup-assistant

setup-assistant is a skill for Claude Code from Raw1mage/patentmcp. It costs 22 tokens per session (1,438 once invoked), scanned B, a copy of setup-assistant, MIT.

A guided assistant for installing, configuring, updating, and checking the Claude Patent Creator system, a tool for researching and drafting patents.

In plain words
What is it for?
Use it during first installation, migration to another machine, dependency updates, authentication setup, or checks that the system is working.
Why use it?
It helps avoid setup mistakes involving Python versions, virtual environments, dependencies, authentication, and server health.

Skill for Claude Code

Written for Claude Code: shipped in a Claude Code plugin. Also seen: mentions Claude Code.

Needs its repository: it runs a file that does not travel with it, so clone the repository first. The line is python scripts/test_install.py.

Part of the claude-patent-creator-standalone plugin — 17 skills, 16 commands, 13 agents, 2 hooks shipped together

Good fit Use it during first installation, migration to another machine, dependency updates, authentication setup, or checks that the system is working.

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/Raw1mage/patentmcp
agentmods
npx agentmods add skills/raw1mage/patentmcp/setup-assistant

Made for: Claude Code.

Or install claude-patent-creator-standalone, the plugin that ships this one along with the rest of its 17 skills, 16 commands, 13 agents, 2 hooks.

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 setup-assistant

README.md
[![agentmods](https://agentmods.dev/badge/skills/raw1mage/patentmcp/setup-assistant/github.svg)](https://agentmods.dev/skills/raw1mage/patentmcp/setup-assistant)
Your own site
<a href="https://agentmods.dev/skills/raw1mage/patentmcp/setup-assistant"><img src="https://agentmods.dev/badge/skills/raw1mage/patentmcp/setup-assistant/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 setup-assistant

Your own site · 80×15
<a href="https://agentmods.dev/skills/raw1mage/patentmcp/setup-assistant"><img src="https://agentmods.dev/badge/skills/raw1mage/patentmcp/setup-assistant.svg" alt="Reviewed on agentmods" width="80" height="20"></a>
Per session 22 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 1,438 The whole file, excluding the scripts and references it only reads on demand.
Security scan B 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 $0.00022 $0.01438
Opus 5.5 $0.00009 $0.00575
Sonnet 5.5 $0.00004 $0.00288
Haiku 4.5 $0.00002 $0.00144

Measured 1mo ago against content hash 4ae5bb8af757, method: parsed. Prices are Anthropic first-party input rates as of 2026-10-07, from the pricing page.

Security

Grade B, and why

setup-assistant scanned grade B 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.

Asks for rootmediumPrivilege escalation

A mod that escalates privileges can change anything on the machine, not only the project.

- Permissions: May need sudo ### macOS
Origin

This is a copy

100% identical to setup-assistant — 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.

refs/Claude-Patent-Creator/skills/setup-assistant/SKILL.md · 239 lines

How it starts

The opening of the file, as written. The whole thing — 239 lines — stays where its author put it; the contents beside it link to each section on GitHub.

Setup Assistant Skill

Expert system for installing, configuring, and setting up the Claude Patent Creator MCP server.

When to Use

Installing first time, setting up new environment, configuring authentication, troubleshooting installation, migrating to new machine, updating dependencies, verifying health.

Quick Setup (5 Minutes)

# 1. Create virtual environment
python -m venv venv
venv\Scripts\activate  # Windows
source venv/bin/activate  # Linux/macOS

# 2. Run installer
python install.py

# 3. Restart Claude Code

# 4. Test
# Ask Claude: "Search MPEP for claim definiteness"

Complete Setup Lifecycle

Phase 1: Pre-Installation Checks

Requirements:

  • Python 3.9-3.12 (3.11 recommended)
  • 8GB+ RAM (16GB recommended)
  • 5GB free disk
  • Optional: NVIDIA GPU with CUDA 12.x

Verify:

python --version  # Should show 3.9-3.12
nvidia-smi        # Optional: Check GPU

Phase 2: Virtual Environment

# Create venv
python -m venv venv

# Activate
venv\Scripts\activate  # Windows
source venv/bin/activate  # Linux/macOS

# Verify
which python  # Should show venv path

Important: Always activate venv before running scripts!

Phase 3: Dependency Installation

Automated (Recommended):

python install.py
# Handles: PyTorch order, GPU detection, MCP registration

Manual (Advanced):

# Install PyTorch FIRST (critical!)
pip install torch torchvision --index-url https://download.pytorch.org/whl/cu128

# Then install package (includes all dependencies)
pip install -e .

Why PyTorch order matters: If installed after sentence-transformers, you get CPU-only version.

Phase 4: BigQuery Authentication (Optional)

BigQuery adds 100M+ patent search but is NOT required. MPEP search, claims review, EPO analysis, and all other features work without it.

The setup auto-detects existing gcloud credentials. If already authenticated, BigQuery works automatically.

If the user wants to enable BigQuery later:

# One command — opens browser for Google sign-in (free, no credit card)
! gcloud auth application-default login

Read the full file on GitHub · 239 lines

Files

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.

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 · 239 lines · 22 tokens per session scan B 4ae5bb8af757

Subscribe to this mod's changes

setup-assistant is a skill published in the GitHub repository Raw1mage/patentmcp (2 stars, last pushed 2mo ago), licensed MIT. It adds 22 tokens to every session and 1,438 once invoked, about $0.0001 per session on Opus 5.5. A static security scan graded it B with 1 finding (asks for root). It is 100% identical to setup-assistant, differing in 0 lines, and is treated as a copy.

Related

Other skills, from other repositories

local-ai-agents

Build local-first AI agents that run entirely on a developer workstation with Microsoft Foundry Local and Qwen function-calling models. Covers Small Language Models (SLMs), the OpenAI-compatible local endpoint, sandboxed local tools, local RAG with Chroma, local MCP servers, hybrid cloud/local routing, and the…

microsoft/ai-agents-for-beginners · 200 tokens

systematic-debugging

Use when encountering any bug, test failure, or unexpected behavior, before proposing fixes.

obra/superpowers · 21 tokens

next-cache-components-adoption

Turn on Cache Components in a Next.js app and resolve the blocking routes it surfaces. Use when the user wants to enable, adopt, or migrate to Cache Components, flip the cacheComponents flag, work through a flood of blocking-prerender / instant validation errors, run the cache-components-instant-false codemod, or…

vercel/next.js · 95 tokens

chat-pet-sprite-creation

Use when creating or changing VS Code chat pet sprite art, sprite sheets, state animations, eye treatments, Stable/Insiders variants, or pet transitions under src/vs/workbench/contrib/chat/browser/widget/media/chatPet.

microsoft/vscode · 53 tokens

cpu-profile-analysis

Analyze V8/Chrome CPU profiles (.cpuprofile) and DevTools trace files (Trace-.json). Use when: profiling performance, investigating slow functions, comparing code paths, finding bottlenecks, analyzing timeToRequest, understanding call trees from sampling profiler data, analyzing layout/paint/rendering, investigating…

microsoft/vscode · 71 tokens

insight-error-page

Write or audit an insight-kind error page for the Next.js dev overlay. Use when creating a new errors/ .mdx page, auditing an existing one, or checking that a page matches the framework fix cards. Covers page structure, title alignment, FixCard cards with Copy prompt button, code snippets, terminology verification…

vercel/next.js · 83 tokens