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goldenmatch

Skill Setup & Config Usable

๐ŸŸก Zero-config entity resolution for Python & TypeScript. Dedupe, match, and build golden records โ€” self-verifying auto-config, MCP/REST/A2A servers, edge-safe core, 97% F1 out of the box.

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

Eliminates manual deduplication and record matching work that typically consumes hours per data cleanup cycle. Reduces downstream data quality issues that corrupt reporting and customer analytics.

Data engineering and analytics teams managing CRM, customer database, or transactional records with duplicates and inconsistent entity references across systems.

Claude Code Claude Cowork Claude Chat

https://github.com/benzsevern/goldenmatch

By benzsevern

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 benzsevern/goldenmatch

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

CostFree

Trust Signals Auto-scanned

Stars44Last updated2026-05-20LicenseMIT (OK for commercial use)Known CVEsNone foundSources: GitHub Advisory Database + OSV.dev · Scanned 2026-05-20 · scanner v1

Community Pulse Emerging

Discussed on Hacker News, Reddit

4 mentions across 2 sources

Reviewer notes

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

Scored from trust signals (evidence-eval-v1): 44 GitHub stars; contributors unknown; last commit 0d ago; license MIT.

How to evaluate tools before deploying โ†’

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): 44 GitHub stars; contributors unknown; last commit 0d ago; license MIT.

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