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mykg

Skill Documents & Content Usable

Knowledge graph extractor: Markdown (or any format) → knowledge graph with RDFS/OWL ontology

39 starsMIT (commercial OK)FreeQuick setup
Usable rating — This tool is functional but has notable gaps. Review the evaluation notes below before deploying.

Converts unstructured documentation into queryable knowledge graphs, enabling teams to surface hidden relationships, enforce consistency, and automate downstream compliance or architecture reviews without manual curation.

Technical documentation teams and knowledge managers standardizing ontologies across large codebases or regulatory documents.

Claude Code Claude Cowork Claude Chat

https://github.com/SenolIsci/mykg

By SenolIsci

How to Get It

Option 1: Claude Desktop App (Code Mode)Click the + button next to the prompt box → PluginsAdd plugin. Search and click Install. Skills work in Claude Code only.
Option 2: Paste into Claude CodeCopy the command below and paste it into your conversation. Claude will install it.
Command
claude plugins install SenolIsci/mykg

Tip: Paste this into a Claude Code conversation. Verify command matches your Claude Code version.

CostFree

Trust Signals Auto-scanned

Stars39Last updated2026-06-29LicenseMIT (OK for commercial use)Known CVEsNone foundSources: GitHub Advisory Database + OSV.dev · Scanned 2026-06-29 · scanner v1

Community Pulse New

No community discussions found yet. This doesn't mean the tool isn't good — it may be new or serve a niche use case.

Reviewer notes

Auto-scanned review. These are observations, not a security certification.

Scored from trust signals (evidence-eval-v1): 39 GitHub stars; contributors unknown; last commit 0d ago; license MIT.

How to evaluate tools before deploying →

Data shown here comes from public APIs and automated scanning. Reviewer notes reflect one person's experience. This is not a security certification or legal recommendation. Always evaluate tools according to your own organization's policies.

Evaluation

Ease of Use
3/5
Versatility
2/5
Reliability
3/5
Security
3/5
Overall score2.75 / 5.00 UsableEvaluatedJun 2026
Scored from trust signals (evidence-eval-v1): 39 GitHub stars; contributors unknown; last commit 0d ago; license MIT.

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