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.
88%
Does it follow best practices?
Run evals on this skill
Adds up to 20 points to the overall score
Passed
No findings from the security scan
The owner of this plugin can generate scenarios and run an eval with the Tessl CLI.
tessl scenario generatetessl eval run