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.
npx skills add Galbaz1/video-research-mcp --skill weaviate-setupgit clone --depth 1 https://github.com/Galbaz1/video-research-mcpWrote 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.
[](https://agentmods.dev/skills/galbaz1/video-research-mcp/weaviate-setup)<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.
<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>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.
| Model | Per session | Once 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 |
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) 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:
- Tell the user to go to https://console.weaviate.cloud, create a free cluster, then copy the cluster URL and API key
- Ask them to provide both values
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-weaviatevectorizer (Weaviate's built-in embedding service). No sidecar container needed. - The URL will be
http://localhost:8080 - No API key needed for local
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.
- 10d ago First seen · 195 lines · 59 tokens per session scan C 1ce17dfc266b
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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