vector-db-auditlisted

# Vector DB Audit Systematically audits the Vector Database to identify gaps between the project manifest and the actual document chunks stored in ChromaDB. ## Capabilities - **Coverage Analysis**: Calculates the exact percentage of project documentation currently vectorized. - **Gap Identification**: Detects files that are included in the manifest but missing from the ChromaDB collection. - **Exporting**: Generates CSV lists of missing files for targeted batch ingestion. - **Dynamic Configuration**: Loads connection and collection settings directly from the selected profile. ## Usage Run the audit for a specific profile (e.g., `wiki`) to generate a coverage report and a CSV of gaps: ```bash python scripts/audit_vector.py --profile wiki --report vector_audit.txt --csv missing_vector.csv ``` ## Protocol 1. **Identify**: Run this skill to find missing content. 2. **Review**: Check `missing_vector.csv`. 3. **Ingest**: Use `vector-db-ingest --profile wiki --file [path]` to fill specific gaps. ## Related - **vector-db-ingest**: Use to fill the gaps identified by this audit. - **vector-db-cleanup**: Use to remove orphaned chunks from the index.