dlt-extract
Pass
Audited by Gen Agent Trust Hub on Mar 10, 2026
Risk Level: SAFE
Full Analysis
- [SAFE]: The skill provides templates and patterns for legitimate data engineering tasks using the dlt library, following industry-standard best practices.
- [SAFE]: Credential management is handled securely by advising users to use .dlt/secrets.toml or environment variables for sensitive strings like passwords and private keys, preventing accidental exposure in source control.
- [SAFE]: Data ingestion risks from untrusted file sources (CSV, Excel, JSON) are mitigated through the promotion of 'Schema Contracts' (e.g., freeze, discard_rows) and Pydantic validation, which allow users to enforce strict boundaries on data structure and types.
Audit Metadata