archcore-plugin

Name: archcore-plugin Review
Item: archcore-plugin
Rating: 2.8
Author: Aaron Matthews

Skill Development Usable

Stop your AI agent from forgetting how your repo works. A Git-backed repo context layer for Claude Code, Cursor, and other coding agents.

Multi-file refactors without breaking undocumented internal contracts
Cross-service API changes with correct field naming conventions
Adding features that respect existing dependency injection patterns

30 starsApache-2.0 (commercial OK)FreeQuick setup

Usable rating — This tool is functional but has notable gaps. Review the evaluation notes below before deploying.

Why it matters

Reduces context loss and hallucinated refactors by anchoring AI agents to your actual codebase structure and history. Cuts time spent correcting AI-generated code that contradicts your repo's patterns.

Best for

Teams using Claude in Code, Cursor, or other coding agents who need consistent architectural awareness across multi-file refactors and feature development.

Works in

Claude Code Claude Cowork Claude Chat

Source

https://github.com/archcore-ai/archcore-plugin

By archcore-ai

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 archcore-ai/archcore-plugin

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

CostFree

Trust Signals Auto-scanned

Stars30Last updated2026-05-17LicenseApache-2.0 (OK for commercial use)Known CVEsNone foundSources: GitHub Advisory Database + OSV.dev · Scanned 2026-05-20 · 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): 30 GitHub stars; contributors unknown; last commit 3d ago; license Apache-2.0.

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

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): 30 GitHub stars; contributors unknown; last commit 3d ago; license Apache-2.0.

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