local-ai-code-assistant

Name: local-ai-code-assistant Review
Item: local-ai-code-assistant
Rating: 2.3
Author: Aaron Matthews

Skill Development Poor

Local AI Coding Hub: Run Claude Models Offline in 2026

Ask Claude to review and explain unfamiliar code sections while working offline.
Generate boilerplate code and function templates without internet connectivity.
Find bugs and suggest fixes in your codebase using local AI analysis.

152 starsFreeQuick setup

Below standard — Significant caveats apply. Not recommended without careful review of the security and evaluation sections.

Why it matters

Enables teams to run AI-assisted code generation and analysis entirely on-premises, eliminating API costs, reducing latency, and meeting data residency or compliance requirements for sensitive codebases.

Best for

Engineering teams with strict data governance or high API costs seeking offline code completion and analysis without external dependencies.

Works in

Claude Code Claude Cowork Claude Chat

Source

https://github.com/MIKOTOKAWAII25/local-ai-code-assistant

By MIKOTOKAWAII25

How to Get It

Option 1: Claude Desktop App (Code Mode)Click the + button next to the prompt box → Plugins → Add 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 MIKOTOKAWAII25/local-ai-code-assistant

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

CostFree

Trust Signals Auto-scanned

Stars152Last updated2026-06-30Known CVEsNone foundSources: GitHub Advisory Database + OSV.dev · Scanned 2026-06-30 · 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): 152 GitHub stars; contributors unknown; last commit 0d ago; license no license.

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 Scores

Evaluation

Ease of Use

1/5

Versatility

3/5

Reliability

3/5

Security

3/5

Overall score2.30 / 5.00 PoorEvaluatedJun 2026

Scored from trust signals (evidence-eval-v1): 152 GitHub stars; contributors unknown; last commit 0d ago; license no license.

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