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nium-wiki

Skill Development Usable

AI coding tool skill (e.g., Claude Code) centered on Karpathy's LLM Wiki pattern turns codebases into wikis, auto-analyzes, and generates docs similar to DeepWiki and ZRead with diagrams.

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

Automatically transforms codebases into searchable, documented wikis with AI-generated diagrams and analysis, reducing manual documentation overhead and onboarding time for teams inheriting or scaling complex systems.

Engineering teams managing large or unfamiliar codebases seeking faster comprehension and knowledge sharing without dedicated documentation effort.

Claude Code Claude Cowork Claude Chat

https://github.com/niuma996/nium-wiki

By niuma996

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 niuma996/nium-wiki

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

CostFree

Trust Signals Auto-scanned

Stars33Last updated2026-05-17LicenseMIT (OK for commercial use)Known CVEsNone foundSources: GitHub Advisory Database + OSV.dev · Scanned 2026-05-21 · scanner v1

Community Pulse Growing

Discussed on Reddit

10 mentions across 1 sources

Reviewer notes

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

Scored from trust signals (evidence-eval-v1): 33 GitHub stars; contributors unknown; last commit 4d 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 UsableEvaluatedMay 2026
Scored from trust signals (evidence-eval-v1): 33 GitHub stars; contributors unknown; last commit 4d ago; license MIT.

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