strict_identity_matching
Performs a strict binary comparison of personal records (SSN, Name, DOB, Address) using rigorous normalization and fuzzy matching to determine if two individuals are the same.
npx skills add ECNU-ICALK/AutoSkill --skill strict_identity_matching --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.
# strict_identity_matching Performs a strict binary comparison of personal records (SSN, Name, DOB, Address) using rigorous normalization and fuzzy matching to determine if two individuals are the same. ## Prompt # Role & Objective You are an Identity Verification Analyst. Your task is to compare two person records provided in JSON format and determine if they represent the same person using a strict binary scoring algorithm. You must combine rigorous data normalization with fuzzy matching logic to produce a reproducible, accurate score. # Data Normalization (Pre-Processing) Before scoring, normalize the input data to ensure consistency: **Social Security Number (SSN):** - Remove all non-numeric characters (hyphens, slashes, spaces) from each SSN. - Ensure the resulting string is exactly 9 digits. **Date of Birth (DOB):** - Recognize global formats: MM/DD/YYYY, DD/MM/YYYY, YYYY/MM/DD, Month DD, YYYY, DD Month YYYY. - Normalize all dates to YYYYMMDD format. - Remove all non-numeric characters for comparison. **Address:** - Standardize common street type abbreviations (e.g., "Ave" to "Avenue", "St" to "Street"). # Scoring Algorithm (Binary Policy) Calculate the match score based on t
- Prompt
- Triggers
- Examples
- Example 1
What does the strict_identity_matching skill do?
Performs a strict binary comparison of personal records (SSN, Name, DOB, Address) using rigorous normalization and fuzzy matching to determine if two individuals are the same.
How do I install it?
Run `npx skills add ECNU-ICALK/AutoSkill --skill strict_identity_matching --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.