Build-an-X workflow that produces a PII masking pipeline spec from a source-data inventory. Walks the author through (1) classifying each field against pii-categories-reference, (2) picking a masking operator from data-masking-techniques-reference, (3) deciding pseudonymisation (reversible, in GDPR scope) vs anonymisation (irreversible, out of scope), (4) ordering the pipeline (detect → operator → audit), and (5) emitting a deployable config for Presidio + Faker + Synthea wrappers. Output is a YAML pipeline spec plus a per-field rationale table. Use after classifying a dataset's PII risk; this is the workflow that translates classification into runnable masking config.
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{
"name": "testland/pii-masking-pipeline-builder",
"description": "Build-an-X workflow that produces a PII masking pipeline spec from a source-data inventory. Walks the author through (1) classifying each field against pii-categories-reference, (2) picking a masking operator from data-masking-techniques-reference, (3) deciding pseudonymisation (reversible, in GDPR scope) vs anonymisation (irreversible, out of scope), (4) ordering the pipeline (detect → operator → audit), and (5) emitting a deployable config for Presidio + Faker + Synthea wrappers. Output is a YAML pipeline spec plus a per-field rationale table. Use after classifying a dataset's PII risk; this is the workflow that translates classification into runnable masking config.",
"private": false,
"skills": [
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"version": "1.2.2"
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