Use when a masked dataset must be proven to meet a k-anonymity, l-diversity or t-closeness threshold before it reaches a non-production environment. Computes equivalence classes over chosen quasi-identifiers with pycanon or ARX, reports re-identification risk and gates CI.
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{
"name": "testland/k-anonymity-verifier",
"version": "1.2.7",
"summary": "Use when a masked dataset must be proven to meet a k-anonymity, l-diversity or t-closeness threshold before it reaches a non-production environment. Computes equivalence classes over chosen quasi-identifiers with pycanon or ARX, reports re-identification risk and gates CI.",
"private": false,
"skills": {
"k-anonymity-verifier": {
"path": "SKILL.md"
}
}
}