data-ingestion-pipeline

Pass

Audited by Gen Agent Trust Hub on Sep 27, 2026

Risk Level: SAFEINDIRECT_PROMPT_INJECTION
Full Analysis
  • [INDIRECT_PROMPT_INJECTION]: The skill facilitates the ingestion of data from external sources, creating a surface for indirect prompt injection if the data is subsequently processed by an LLM without isolation.
  • Ingestion points: FileExtractor.extract (local files), extract_paginated (external APIs), and extract_from_db (databases) defined in SKILL.md.
  • Boundary markers: The skill does not implement specific delimiters or 'ignore' instructions to prevent the agent from obeying commands embedded within the ingested data.
  • Capability inventory: The skill utilizes network access via httpx, database access via asyncpg, and file system read/write access via pathlib to perform its tasks.
  • Sanitization: The skill demonstrates good practices by using yaml.safe_load() for parsing and by providing a structured validation architecture (validate_records and apply_business_rules) to filter incoming data.
Audit Metadata
Risk Level
SAFE
Analyzed
Sep 27, 2026, 06:53 PM
Security Audit — agent-trust-hub — data-ingestion-pipeline