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carbon

Skill Setup & Config Usable

Carbon is an open source ERP, MES and QMS for manufacturing. Perfect for complex assembly, contract manufacturing, and configure to order manufacturing.

2,107 starsFreeQuick setup
Usable rating — This tool is functional but has notable gaps. Review the evaluation notes below before deploying.

Consolidates manufacturing operations, quality, and inventory into one system, reducing spreadsheet sprawl and manual data reconciliation in complex production environments.

Contract manufacturers, job shops, and make-to-order producers managing bill-of-materials, multi-stage assembly, and regulatory compliance.

Claude Code Claude Cowork Claude Chat

https://github.com/crbnos/carbon

By crbnos

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 crbnos/carbon

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

CostFree

Trust Signals Auto-scanned

Stars2,107Last updated2026-05-20Known CVEsNone foundSources: GitHub Advisory Database + OSV.dev · Scanned 2026-05-20 · scanner v1

Community Pulse Active

Discussed on Hacker News, Reddit

5 mentions across 2 sources

Reviewer notes

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

Scored from trust signals (evidence-eval-v1): 2,107 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

Ease of Use
2/5
Versatility
5/5
Reliability
3/5
Security
3/5
Overall score3.15 / 5.00 UsableEvaluatedMay 2026
Scored from trust signals (evidence-eval-v1): 2,107 GitHub stars; contributors unknown; last commit 0d ago; license no license.

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