Audit EMBU pipeline decisions against the v2.0 architecture across Stages 1–3.
npx skills add https://github.com/murzoglu/doktoratezi --skill embu-data-audit
Please help me install this Agent Skill. Skill: embu-data-audit Source: https://github.com/murzoglu/doktoratezi/tree/main/.github/skills/embu-data-audit Command: npx skills add https://github.com/murzoglu/doktoratezi --skill embu-data-audit
Audit the EMBU data pipeline decisions and outputs to ensure accuracy and conformity with the active EMBU v2.0 architecture across Stage 1, Stage 2, and Stage 3 workflows, including outlier handling, family structure, and validity checks.
Run the EMBU data audit to review active Stage 1–3 decisions and generate a concise findings report
High-intent search queries and answers about installing and using this skill.
To audit an EMBU data pipeline, you review Stage 1 standardization, Stage 2 Likert4 conversion, and Stage 3 family structure to ensure accuracy and conformity with the active EMBU v2.0 architecture.
EMBU Stage 2 Likert4 conversion verification involves checking data classified by classify_embu_c_likert to ensure Likert scale outputs conform to the active EMBU v2.0 architecture standards.
During EMBU Stage 1 standardization checks, outliers are identified through validation processes and logged to outputs/tables/embu_stage1_outliers.csv for review and conformity assessment.
Yes, you can validate Stage 3 family structure using aile_no x cocuk_no indices and sibling roles, while related validations cover CFA, ICC, outliers, and PII removal within the EMBU v2.0 workflow.
Column discovery when auditing EMBU pipeline outputs relies on find_embu_columns to identify relevant data fields before classifying Likert data and applying standardization and conformity checks.
EMBU Stage 3 family structure validation checks aile_no x cocuk_no indices and sibling roles to verify family structure accuracy and conformity with the active EMBU v2.0 architecture.
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