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🪪 Name & Diacritic Integrity Auditor
Find diacritic loss, normalization drift, mixed scripts, and unsafe identity-record collisions without auto-merging people.
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You say
Supply records with recordId, sourceSystem, rawName, displayName, and canonicalPersonId. Preserve source strings exactly.
Your agent does
A deterministic PASS, REVIEW, BLOCK, or CANNOT_ASSESS result with stable finding codes, report, manifest, and SHA-256 receipts.
What you get
About this skill
Name & Diacritic Integrity Auditor turns owner-supplied normalized evidence into a deterministic local preflight. CRM, ticketing, payroll, event, and mailing exports strip marks or normalize names inconsistently, creating disrespectful display errors and false deduplication. Preserves raw and display forms, surfaces reversible Unicode evidence, and treats accent-stripped collisions as review cases rather than merge instructions. It makes no network request and performs no import, translation, rewrite, upload, merge, delivery, publication, purchase, message, or account change. Stable findings and SHA-256 receipts support review, while PASS remains explicitly narrower than source truth or authorization.
How to install
Drop the file into your AI Agent. Works with Claude, Cursor, ChatGPT, and 20+ more.
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Creator
JustHandled Labs builds focused agent skills for the work nobody wants to do by hand. Each one is a single repeatable job done well: catching the security and data mistakes that quietly ship, keeping docs and tests honest, gating the commands an agent is about to run, sharpening writing, and handling the founder chores around launches, outreach, and brand setup. Not generic AI productivity. Specific workflows that are easy to run, review, and repeat. Maintained by H.J. Westerfield, with a background in communications, editing, project coordination, customer support, and practical AI systems. Tools for people who want useful automation without theatrical complexity.
Frequently Asked Questions
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