skills/datadrivenconstruction/ddc_skills_for_ai_agents_in_construction/etl-pipeline/Gen Agent Trust Hub
etl-pipeline
Pass
Audited by Gen Agent Trust Hub on Sep 18, 2026
Risk Level: SAFEINDIRECT_PROMPT_INJECTION
Full Analysis
- [INDIRECT_PROMPT_INJECTION]: The skill establishes an attack surface for indirect prompt injection by design, as its primary purpose is extracting and processing data from external sources.
- Ingestion points: The skill ingests data using
extract_excel_files,extract_from_pdfs, andextract_from_apifunctions (SKILL.md), which handle content from files and network responses. - Boundary markers: There are no explicit boundary markers or system instructions provided to the agent to isolate and ignore potentially malicious natural language instructions embedded within the processed Excel sheets, PDF tables, or JSON API payloads.
- Capability inventory: The skill is granted
filesystemandnetworkpermissions (claw.json) and includes functional code for file reading/writing, database interaction viasqlite3, and issuing network requests using therequestslibrary (SKILL.md). - Sanitization: Although the code includes data quality functions like
clean_construction_dataandvalidate_construction_data(SKILL.md), these focus on structural and numeric integrity rather than filtering or sanitizing text for adversarial instructions.
Audit Metadata