Knowledge Graph for OpenClaw — Review, Trust Score & Install Guide

Short answer: Knowledge Graph is a verified OpenClaw skill for search & research. Trust Score 92/100 based on source transparency, permission scope, install safety, update recency, community signal, and documentation quality.

Trust Score: 92/100

Security tier: Verified
Risk level: Low
Last reviewed: 2026-02-15
Reviewer: OpenClaw Skills Hub editorial team
Version: 1.5.0
Author: graph-tools
Install command: npx clawhub@latest install knowledge-graph

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What Knowledge Graph does

Knowledge Graph automatically extracts entities, relationships, and facts from text documents and builds queryable knowledge graphs. Discover hidden connections between people, organizations, events, and concepts. Supports graph queries, path finding, community detection, and visual graph exploration.

How to install Knowledge Graph

Install the OpenClaw CLI: npm install -g clawhub@latest
Install this skill: npx clawhub@latest install knowledge-graph
Verify the install: openclaw skills list

Security review

This skill is currently classified as Verified with a low risk profile. Our reviewers inspected the SKILL.md manifest, dependency tree, declared permissions, network calls, and shell commands before publishing this score. See our editorial policy and Trust Score methodology for the full rubric.

Best for

Map relationships between companies, people, and technologies
Build entity-relationship models from documents
Discover hidden connections in large text corpora
Power graph-based recommendation systems

Avoid if

You need a fully air-gapped install with no network calls.
Your environment forbids skills with third-party dependencies.
You require a formally audited SBOM that this version does not yet provide.

Alternatives & related skills

Deep Research — Conduct multi-source research with automatic synthesis, citation tracking, and fact verification.
Semantic Search — Search your documents and data using natural language meaning, not just keywords — powered by vector embeddings.
RAG Pipeline — Build production-ready Retrieval-Augmented Generation pipelines with document ingestion, chunking, and retrieval.

Frequently asked questions

What graph databases does it support?

Neo4j, Amazon Neptune, TigerGraph, and an embedded graph database for small projects.

Can it extract entities in multiple languages?

Yes — entity extraction works in 50+ languages with multilingual NER models.

How do I install Knowledge Graph?

Run `npx clawhub@latest install knowledge-graph` from any directory with Claude Code or OpenClaw installed. The skill is added to your local SKILL.md registry and is available to your agent immediately — no restart required.