nlp-supply-chain

Pass

Audited by Gen Agent Trust Hub on Sep 20, 2026

Risk Level: SAFEINDIRECT_PROMPT_INJECTION
Full Analysis
  • [INDIRECT_PROMPT_INJECTION]: The skill is designed to ingest and process unstructured data from external sources, creating a potential surface for indirect prompt injection attacks.
  • Ingestion points: Untrusted data enters the agent context through product_description in the Product Classification class, invoice_text in the Invoice Extractor class, news articles in the Supplier Risk Analyzer, and user_input in the Chatbot implementation.
  • Boundary markers: There are no boundary markers or instructions to the models to disregard embedded commands within the input text (e.g., in SKILL.md).
  • Capability inventory: The implementation currently includes data classification, named entity extraction, and response generation; it does not explicitly demonstrate dangerous capabilities like file writing or network exfiltration of sensitive data within the provided snippets.
  • Sanitization: The skill lacks input sanitization or validation logic to filter potentially malicious instructions embedded in the processed text.
Audit Metadata
Risk Level
SAFE
Analyzed
Sep 20, 2026, 07:40 AM