weaviate-setup

weaviate-setup is a skill for Claude Code from Galbaz1/video-research-mcp. It costs 59 tokens per session (1,938 once invoked), scanned C, original, MIT.

An interactive setup guide for Weaviate, a searchable knowledge store that can keep research results for later use.

In plain words
What is it for?
Setting up Weaviate Cloud, local Docker, or a custom installation for the video-research server, so accumulated research can be searched and queried.
Why use it?
It walks you through choosing where Weaviate runs, setting connection variables, and checking that the connection works.

Skill for Claude Code

Written for Claude Code: shipped in a Claude Code plugin. Also seen: names the AskUserQuestion tool; mentions Claude Code.

Part of the gr plugin — 12 skills, 17 commands, 7 agents shipped together

Good fit Setting up Weaviate Cloud, local Docker, or a custom installation for the video-research server, so accumulated research can be searched and queried.

Compare 6 skills from other repositories ↓
Install with agentmods
npx agentmods add skills/galbaz1/video-research-mcp/weaviate-setup
Install

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.

Any agent
npx skills add Galbaz1/video-research-mcp --skill weaviate-setup
Clone the repo
git clone --depth 1 https://github.com/Galbaz1/video-research-mcp

Made for: Claude Code.

Or install gr, the plugin that ships this one along with the rest of its 12 skills, 17 commands, 7 agents.

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 weaviate-setup

README.md
[![agentmods](https://agentmods.dev/badge/skills/galbaz1/video-research-mcp/weaviate-setup/github.svg)](https://agentmods.dev/skills/galbaz1/video-research-mcp/weaviate-setup)
Your own site
<a href="https://agentmods.dev/skills/galbaz1/video-research-mcp/weaviate-setup"><img src="https://agentmods.dev/badge/skills/galbaz1/video-research-mcp/weaviate-setup/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 weaviate-setup

Your own site · 80×15
<a href="https://agentmods.dev/skills/galbaz1/video-research-mcp/weaviate-setup"><img src="https://agentmods.dev/badge/skills/galbaz1/video-research-mcp/weaviate-setup.svg" alt="Reviewed on agentmods" width="80" height="20"></a>
Per session 59 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 1,938 The whole file, excluding the scripts and references it only reads on demand.
Security scan C 1 finding. A grade says what 26 rules found in the file — not that it is safe.
Origin original No closer match found 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 $0.00059 $0.01938
Opus 5 $0.00030 $0.00969
Sonnet 5 $0.00012 $0.00388
Haiku 4.5 $0.00006 $0.00194

Measured 10d ago against content hash 1ce17dfc266b, method: parsed. Prices are Anthropic first-party input rates as of 2026-09-10, from the pricing page.

Security

Grade C, and why

weaviate-setup scanned grade C 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 10d 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.

Harvests environment variableshighData exfiltration

Enumerating or grepping the environment for keys collects credentials unrelated to what the mod says it does.

### Step 2: Collect Credentials (based on choice)
skills/weaviate-setup/SKILL.md · 195 lines

How it starts

The opening of the file, as written. The whole thing — 195 lines — stays where its author put it; the contents beside it link to each section on GitHub.

Weaviate Knowledge Store Setup

You are guiding a user through setting up Weaviate as the persistent knowledge store for the video-research MCP server. All 28 tools automatically write results to Weaviate when configured. 8 knowledge tools (knowledge_search, knowledge_related, knowledge_stats, knowledge_fetch, knowledge_ingest, knowledge_schema, knowledge_ask, knowledge_query) enable semantic search and AI-powered Q&A across accumulated research.

Setup Flow

Follow these steps IN ORDER. Use AskUserQuestion for each decision point.

Step 1: Deployment Type

Ask the user which Weaviate deployment they want to use:

AskUserQuestion:
  questions:
    - question: "Which Weaviate deployment will you use?"
      header: "Deployment"
      multiSelect: false
      options:
        - label: "Weaviate Cloud (Recommended)"
          description: "Managed cloud service at console.weaviate.cloud — free tier available, no infrastructure to manage"
        - label: "Local Docker"
          description: "Run Weaviate locally via Docker on port 8080 — full control, no network latency"
        - label: "Custom/Self-hosted"
          description: "Your own Weaviate deployment at a custom URL"

Step 2: Collect Credentials (based on choice)

If Weaviate Cloud:

If Local Docker:

  • Provide the docker-compose snippet:
services:
  weaviate:
    image: cr.weaviate.io/semitechnologies/weaviate:1.28.4
    ports:
      - "8080:8080"
      - "50051:50051"
    environment:
      QUERY_DEFAULTS_LIMIT: 25
      AUTHENTICATION_ANONYMOUS_ACCESS_ENABLED: "true"
      PERSISTENCE_DATA_PATH: "/var/lib/weaviate"
      DEFAULT_VECTORIZER_MODULE: text2vec-weaviate
      ENABLE_MODULES: text2vec-weaviate
  • Note: Our collections use the text2vec-weaviate vectorizer (Weaviate's built-in embedding service). No sidecar container needed.
  • The URL will be http://localhost:8080
  • No API key needed for local

Read the full file on GitHub · 195 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. 10d ago First seen · 195 lines · 59 tokens per session scan C 1ce17dfc266b

Subscribe to this mod's changes

weaviate-setup is a skill published in the GitHub repository Galbaz1/video-research-mcp (23 stars, last pushed 1mo ago), licensed MIT. It adds 59 tokens to every session and 1,938 once invoked, about $0.0003 per session on Opus 5. A static security scan graded it C with 1 finding (harvests environment variables). No closer match exists in the catalogue, so it is treated as the original; first seen 2026-08-30.

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