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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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Recently published to Agensi
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More reviews for JustHandled Labs5.0(3)
Feedback buyers left on other skills by the same creator.
I already had a forecasting tool but this gave us more detail that I had Claude take the best parts and merge it into my current agent to make it more robust.
Trust & safety
Security scanned
Verified clean 14 days ago
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Frequently Asked Questions
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