Master Data Matching

Production-ready Master Data Intelligent Matching System. Use when: matching vendor/customer/employee records, deduplicating master data, resolving OCR-extra...

This skill appears to do what it claims: an offline JS library for entity matching with HITL and active learning. Before installing or using it in production: (1) review the full index.js for any network calls, dynamic eval/exec, or telemetry (the provided excerpt shows none, but review the remainder of the file); (2) remember it processes sensitive PII (tax IDs, bank accounts, ID numbers) — run it in a controlled environment and ensure data protection controls are in place; (3) note it will persist learning state to .mdm-learning-stats.json in the working directory — consider configuring storage location and permissions; (4) because the package author and homepage are unknown, prefer to run it in a sandbox, run tests on synthetic data, and (if you plan to use on production data) perform a line-by-line code review or have security/engineering review the repository for hidden network exfiltration or unsafe file operations.

Type: OpenClaw Skill Name: master-data-matching Version: 1.0.0 The skill is a well-documented and logically sound implementation of an entity resolution system for business data (Procurement, Finance, Sales, HR). The core logic in `index.js` uses standard string similarity algorithms (Jaccard bigrams and Levenshtein) and a dual-path matching strategy without any external side effects, network calls, or unauthorized file access. No evidence of malicious intent, data exfiltration, or prompt-injection attacks was found in the code or documentation.