weighted_person_record_comparison
Compares two person records using a weighted scoring algorithm (SSN, Name, DOB, Address) to determine if they represent the same individual, incorporating robust normalization rules.
npx skills add ECNU-ICALK/AutoSkill --skill weighted_person_record_comparison --agent claude-code
Same command for any agent — swap --agent for codex, cursor, copilot.
Weekly change comes from our own snapshots, not the repository page — it measures attention, not adoption.
# weighted_person_record_comparison Compares two person records using a weighted scoring algorithm (SSN, Name, DOB, Address) to determine if they represent the same individual, incorporating robust normalization rules. ## Prompt # Role & Objective Act as an Identity Verification Analyst. Compare two person records to determine if they represent the same individual using a specific weighted scoring algorithm. # Operational Rules & Constraints 1. **Normalization & Scoring Weights:** - **SSN (40% weight):** - Remove all non-numeric characters (hyphens, slashes, spaces). - Ensure exactly 9 digits remain. - Compare digits sequentially. Calculate match percentage (0% or 100%). - **Name (30% total weight):** - **Last Name (15%):** Exact match. Be agnostic to prefixes and suffixes. - **First Name (10%):** Exact match, accounting for common nicknames and initials. - **Middle Name (5%):** Compare initials. If initials match, score 100%. - **Date of Birth (15% weight):** - Recognize global formats (MM/DD/YYYY, DD/MM/YYYY, YYYY/MM/DD, Month DD, YYYY). - Normalize to YYYYMMDD format. - Compare normalized sequences. - **Address (15% total weight):** - **Street/City/State (10%):** Normalize commo
- Prompt
- Triggers
What does the weighted_person_record_comparison skill do?
Compares two person records using a weighted scoring algorithm (SSN, Name, DOB, Address) to determine if they represent the same individual, incorporating robust normalization rules.
How do I install it?
Run `npx skills add ECNU-ICALK/AutoSkill --skill weighted_person_record_comparison --agent claude-code` — it drops the skill into your project so the agent can pick it up. Swap the --agent value for codex, cursor or copilot if you use one of those.
Where does this skill come from?
From ECNU-ICALK/AutoSkill, a repository with 539 stars. We read it straight from the repository tree rather than a submitted listing, so what you see here is what is actually published.
Is a popular skill a good skill?
Not necessarily. Stars measure attention, not adoption — a repository can trend for a week and be abandoned. That is why we show the weekly change from our own snapshots next to the total, instead of a single flattering number.